Trend Detection Podcast

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode covers:

• Exploring Industrial IoT from a Developer’s Lens: Our guest, Olivier, shares his extensive background in IoT, discussing the role of developers in advancing Industrial IoT solutions.

• Doing IoT Right vs. Wrong: Olivier delves into common pitfalls in IoT projects, particularly the lack of focus on delivering clear business value, which often leads to stalled projects.

• Data Pipelines as the Core of IoT Success: Emphasizing data’s role, we examine how effective data management enables predictive maintenance, anomaly detection, and actionable insights, especially in industrial applications.

• The Power of Open Source in IoT Innovation: Olivier discusses the significance of open-source contributions in building standardized, robust IoT solutions that foster interoperability across devices and systems.

• Collaborative Approaches for Complex IoT Ecosystems: We explore how industry collaboration and standardization are crucial in creating cohesive, secure, and scalable IoT solutions for various industrial sectors.

Connect with Olivier Bloch here https://www.linkedin.com/in/olivierbloch

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode covers:

• Regional Readiness and Cultural Mindset: How different attitudes shape predictive maintenance adoption.

• Industry Insights: Examining the food & beverage and heavy industry sectors.

• Shifting from Reactive to Proactive Maintenance: The journey from traditional maintenance to digital transformation.

• Stakeholder Alignment: Importance of buy-in from all levels for successful implementation.

• Challenges in Scaling: Unique hurdles faced by small and large companies in implementing predictive maintenance.

• The Role of AI: How predictive maintenance and AI can address productivity demands.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

• Leverage Cross-Disciplinary Skills: Combining technical expertise with business insight can drive more strategic decision-making.

• Integrate Data for Better Outcomes: Blending engineering and business data is crucial for accurate, actionable insights.

• Balance Short & Long-Term Goals: Engineers and IT teams often have different priorities, but aligning their perspectives is key to success.

• Adopt Technology with Purpose: Only implement new technology when it clearly supports a defined business goal.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

What you’ll learn:

• How AI predicts equipment issues before they happen

• Strategies to minimize downtime and keep operations running smoothly

• How smarter, data-driven insights can build confidence in maintenance practices

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

What’s inside this episode:

• Generative AI’s Role: How AI bridges knowledge gaps, empowers teams, and transforms data management for future success.

• Navigating Transformation: Peter shares strategies to help medium-sized companies overcome challenges like internal resistance and resource allocation.

• Personalized Journeys & Innovation: Insights into crafting tailored customer experiences, driving process innovation, and building strong partnerships.

• Real-World Challenges: A candid look at the hurdles of digital transformation, including the impact of knowledge loss.

• Looking Ahead: A sneak peek into future episodes with deeper dives into the remaining “Ps” and inspiring success stories

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Catch up on the virtual live event crafted specifically for the pharmaceutical industry, where we’ll dive into how Senseye Predictive Maintenance is transforming operations by enhancing efficiency, minimizing downtime, and ensuring asset reliability.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, you will learn:

• Role Evolution and Expertise: Rebecca French, Senseye's Technical Delivery Lead, discusses her journey from data science to technical delivery, emphasizing the importance of bridging customer feedback with product development.

• Predictive Maintenance at Scale: The episode explores how Senseye's predictive maintenance platform scales across diverse assets, avoiding asset-specific models, which makes it adaptable and efficient for large-scale deployments.

• Importance of Communication and User Involvement: Rebecca highlights the need for clear communication between Senseye’s teams and the end users, ensuring that predictive maintenance insights are accessible and actionable.

• Gen AI's Impact on Predictive Maintenance: The integration of generative AI, like Maintenance Co-Pilot, enriches the predictive maintenance process by offering deeper, contextual insights that support maintenance teams' decision-making.

• Success Stories and Cultural Shifts: A focus is placed on how companies like BlueScope Steel have embedded predictive maintenance into their organizational culture, leading to role creation for champions within the organization, underscoring predictive maintenance's transformative impact on businesses.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Episode Summary:

• Predictive Maintenance Evolution: Understanding the progression from condition monitoring to predictive maintenance, emphasizing the benefits of reducing unplanned downtime and improving maintenance efficiency.

• Conversational Predictive Maintenance: Introduction of conversational predictive maintenance powered by AI, which makes interacting with maintenance data more user-friendly through chat functions and copilots.

• Data Utilization: Discussion on how even small amounts of data can effectively inform maintenance decisions, challenging the misconception that large datasets are necessary for predictive maintenance.

• AI's Role in Maintenance: Exploration of generative AI's role in making maintenance tasks more accessible and scalable, allowing users to ask natural language questions about machine conditions and get informed, contextual responses.

• Human and Machine Collaboration: Insights into how the integration of AI is transforming predictive maintenance into a more interactive process, supporting users in real-time decision-making and troubleshooting.

• Ongoing Innovation: Speculation on the future of predictive maintenance, particularly how AI-driven insights will continue to evolve and improve maintenance strategies.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Episode Summary:

• Exploring AI's Role in Mining: Learn how AI and digital transformation are reshaping the mining industry, from improving operational efficiency to offering predictive insights.

• Fostering a Data-Driven Workforce: We’ll discuss the importance of a people-centric approach, where a data-driven culture enhances safety, productivity, and decision-making.

• Simple Wins in Digitization: Expect insights on how mining companies can easily start their digital journey by automating manual processes for faster, safer operations.

• Addressing Workforce Gaps with AI: Hear how AI and automation can fill critical skill gaps as the mining workforce ages, making the industry safer and less dependent on physical labor.

• Building Strategic Partnerships: We’ll talk about the value of collaborating with tech providers to build a secure, open ecosystem that accelerates digital transformation in mining.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode covers:

• The Basics of Predictive Maintenance: Understand how predictive maintenance uses data to forecast machine failures and optimize maintenance schedules, saving time and resources.

• AI and Machine Learning in Maintenance: Learn how AI and machine learning algorithms analyze data to detect anomalies and predict equipment breakdowns.

• Condition Monitoring as a Foundation: Discover how condition monitoring collects real-time data to enable predictive maintenance, providing insights into equipment performance.

• Digital Twins Explained: Explore the concept of digital twins—virtual models of physical assets—and how they help simulate, test, and optimize machinery before real-world deployment.

• Cloud vs. On-Premise Data Solutions: Understand the differences between cloud and on-premise storage, focusing on security, accessibility, and scalability for industrial applications.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode we revisit last years SPS to explore the state of readiness in the Danish Market.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Willkommen zum Trend Detection Podcast, präsentiert von Senseye Predictive Maintenance – der Plattform, die eine skalierbare vorausschauende Instandhaltung für sämtlicheAnlagen ermöglicht. 

Beschreibung:  • Die Entwicklung erkunden: Entdecken Sie die aktuellen Fortschritte in der industriellen KI und Automatisierung, während wir uns mit den neusten Tools und Technologien beschäftigen, die die Industrie prägen.  

• Die Revolution der Automatisierung: Entdecken Sie mehr über die zukunftsweisenden Projekte von Siemens, darunter das Copilot-System und digitale Geschäftsmodelle im Umfeld der Fabrikautomatisierung.  

• Einblicke in KI-Strategien: Erfahren Sie mehr über vorausschauende Instandhaltung, KI-Infrastrukturen und wie generative KI die Industrie verändert. 

 • Zukünftige Trends: Werfen Sie einen Blick in die Zukunft der industriellen KI, einschließlich aufkommender Technologien und zukünftiger Veränderungen in der Industrie.. 

Weitere Informationen darüber, wie Senseye Predictive Maintenance ungeplante Ausfälle reduziert und die Nachhaltigkeit Ihrer Produktionsanlagen verbessert, finden Sie unter www.siemens.com/senseye-predictive-maintenance 

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode covers:

• Overview of the deployment of Senseye Predictive Maintenance deployment at Bluescope Steel

• Deep dive into a success case that resulted in 24 hours unplanned downtime savings

• How the new copilot functionality in Senseye is transforming the way they work

• Advice to other companies looking to implement predictive maintenance solutions

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode covers:

• Optimizing Plant Performance and Reducing Downtime

  • Learn how predictive maintenance uses data insights to improve efficiency, keep operations smooth, and minimize unplanned downtime.

• Enhancing Product Quality and Safety

  • Explore how early issue detection helps maintain consistent product quality, safeguards employees, and reduces environmental risks.

• Scalable Solutions for Proactive Issue Detection

  • Discover how our scalable predictive maintenance solutions enable you to detect potential issues before they occur, ensuring safer and more sustainable operations.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode with Chris Garrison Covers:

• The Evolution of Predictive Maintenance and Sensor Technology: How advancements in sensor tools enable proactive fault prediction.

• Starting Predictive Maintenance with Available Data: Using onboard diagnostics to kickstart predictive maintenance without major investments.

• Optimizing Sensor Coverage for Different Equipment: Determining the right sensor setup based on equipment complexity and fault characteristics.

• Adopting a Holistic Approach to Asset Health: Leveraging diverse data types to gain a comprehensive view for proactive maintenance.

• Unlocking Benefits Beyond Maintenance: How predictive maintenance improves safety, reduces downtime, and enhances efficiency across the organization.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Listen to learn how our Senseye Predictive Maintenance improves production and management KPIs by analyzing and predicting machine and maintainer behavior using AI – and you do not have to be data scientist!

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Listen to learn how our Senseye Predictive Maintenance improves production and management KPIs by analyzing and predicting machine and maintainer behavior using AI – and you do not have to be data scientist!

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Listen to learn how our Senseye Predictive Maintenance improves production and management KPIs by analyzing and predicting machine and maintainer behavior using AI – and you do not have to be data scientist!

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this session, we discussed the following:

• The role of data analytics in predictive maintenance and how to harness its full potential.

• How to leverage human expertise alongside advanced algorithms to achieve a more proactive maintenance approach.

• Using GenAI (Generative Artificial Intelligence) to help prevent equipment failures.

• Real-world case studies showcasing successful implementations of Senseye Predictive Maintenance.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we discussed streamlining Predictive Maintenance with Senseye PdM and Mendix with Johnathan Bonner.

This episode covers:

• Benefits of Predictive Maintenance: Leveraging existing data to reduce downtime, increase maintenance efficiency, and lower operating costs.

• Role of Low-Code Platforms: Enhancing predictive maintenance with rapid, customizable application development that integrates seamlessly with existing systems.

• Centralized Maintenance Workflows: Streamlining maintenance processes by combining predictive insights with user-friendly dashboards and mobile accessibility.

• Scalability and Data Management: Handling large data volumes efficiently and offering flexible, scalable deployment options to support growing operations.

• Comprehensive Customer Support: Providing ongoing assistance with implementation, customization, and maintenance to ensure successful integration and user adoption.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we discussed the evolution of maintenance with Richard Jeffers.

We cover:

• Key components of an effective maintenance strategy were highlighted, emphasizing the importance of a proactive and data-driven approach.

• Challenging technical issues and insights into the innovative solutions used to resolve them.

• The impact of predictive maintenance on overall efficiency was explored, along with how advancements in IoT and AI are transforming maintenance practices.

• Current trends and future directions in the maintenance industry, including how the role of maintenance professionals is expected to evolve over the next decade.

Follow Richard Jeffers on LinkedIn

Learn more about RS: Maintenance Solutions | RS

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we discussed the topic of Cautionary tales of predictive maintenance - with Dr Natalie Kurgan.

We cover:

1. Build the Right Foundation

• Discover why setting up the right infrastructure is crucial before implementing any predictive maintenance (PDM) solution. Without it, success is a struggle.

2. Clear Goals Drive Success

• Learn how defining clear business objectives and aligning them with your PDM solution can deliver real, measurable value.

3. Start Simple, Scale Fast

• Get practical tips on why starting with simpler assets like motors helps you scale effectively to more complex equipment over time.

4. Collaboration is Key

• Understand how involving and educating your team at every stage of implementation is essential for maximizing the benefits of PDM.

5. Bust Predictive Maintenance Myths

• Break through the marketing hype! Learn what PDM can (and can’t) do— it’s not about predicting failures, but ensuring timely, effective maintenance.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode we share a tried and true methodology to implement successful and scalable PdM projects using our industry-leading Senseye Knowledge Platform.  We will cover the five phases crucial to a successful deployment.

We cover:

• Scope: Discovery, putting together a plan, defining success.

• Design: Creating a detailed project design and machine selection.

• Deploy: Set up and technical implementation.

• Operate: Effective usage of Senseye, learning and tracking success.

• Refine: Gathering and using feedback

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Bringing the engineering community together - with Thomas Flude.

This episode covers:

• Building an Industrial Manufacturing Community: The episode explores how the guest, Tom and his business partner are creating an industrial manufacturing community through their startup, Engineers Insight. They discuss the unique aspects of this community and its purpose in the industry.

• Challenges in Engineering Knowledge Retention: The conversation highlights the growing issue of knowledge gaps in engineering, particularly as experienced engineers retire without passing on their expertise to the next generation. The episode discusses the importance of addressing this gap.

• The Role of Feedback in Product Development: Tom emphasizes the significance of continuous feedback from users, which has shaped Engineers Insight from a simple marketing tool into a comprehensive resource platform. This process of user-driven development is a central theme.

• Engaging the Next Generation of Engineers: The podcast delves into strategies for connecting with and inspiring the next generation of engineers, including integrating educational institutions into the platform and addressing the generational shift in expectations from young engineers entering the field.

• The Impact of AI and Technology in Manufacturing: The discussion touches on the role of AI and other technologies in the manufacturing sector

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Readiness for predictive maintenance in Japan - with Taku Shigihara.

This episode covers:

• Trends and Adoption: Growing interest in predictive maintenance in Japan, driven by efficiency needs and supported by AI and IoT investments.

• Cultural and Regulatory Impact: Japan’s strong quality focus and stringent regulations push adoption, but traditional practices and cautious decision-making can slow progress.

• Benefits and Innovations: Companies can expect cost savings and efficiency gains, with emerging sector-specific solutions and AI-driven analytics tailored for the Japanese market.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Improving safety with predictive maintenance - with Tom Jacques.

This episode covers:

• How Predictive Maintenance Enhances Safety: Discover how predictive maintenance can prevent equipment failures and reduce incidents, leading to safer industrial and operational environments.

• The Cost and Industry Impact: Learn about the cost-effectiveness of predictive maintenance and why it’s especially crucial in high-risk industries like manufacturing, aviation, and energy.

• Workforce and Compliance Considerations: Understand how predictive maintenance affects workforce roles, training, and compliance with safety regulations, contributing to overall job safety.

• Future Trends and Implementation Strategies: Explore upcoming innovations in predictive maintenance and get practical advice on how to begin implementing these strategies to improve safety in your organization.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Flowing Forward: Digital Transformation in the Water Industry.

Key takeaways:

• Broad Overview: We explore the concept of digital transformation in the water industry, an area often overlooked but crucial for modernizing essential services.

• Challenges & Scale: Discover the scale of the water industry's operations, including the delivery and treatment of billions of liters of water daily, and the extensive network of infrastructure that supports these processes.

• The Need for Change: Understand the necessity of digital transformation in an industry faced with aging infrastructure and the demand for increased efficiency and innovation.

• Learning Across Industries: How lessons from the water sector's digital shift can be applied to other industries and what all sectors can learn from these advancements.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode with Alex Hill, discover how our cloud-based machine learning platform has already revolutionized global maintenance, delivering millions in annual savings.

With the integration of Generative AI, a new era of Asset Intelligence unfolds, driving sustainability, efficiency, and unprecedented savings.

Learn how this innovative technology fosters knowledge sharing and impactful conversations among users, AI systems, and maintenance experts.

Elevate your maintenance strategy and embrace the future of Predictive Maintenance with Siemens.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Richard Ella to discuss

This episode covers:

• What are the key roles involved in implementing a successful predictive maintenance program?

• How important are reliability engineers and digital transformation leaders to the process?

You can also tune into:

Part one of the series here

Getting value from a predictive maintenance platform through customer success management here

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

In this exclusive episode Dan Reid & Niall Sullivan introduce Maintenance Copilot Senseye, the next evolution in predictive maintenance technology.

Experience firsthand how this Generative AI powered virtual maintenance assistant can help to:

• Experience firsthand how this Generative AI powered virtual maintenance assistant can help to:

• Reinterpret complex data in an easy to understand, natural language format

• Capture and retain the knowledge of experienced workers and make it accessible for future use

• Encourage global teams to form a collaborative approach to troubleshooting and maintenance, by allowing them to easily share insights and compare data across multiple locations

• Make better informed decisions by providing data-driven, prescriptive insights.

Vorausschauende Instandhaltung soll durch Senseye, eine Siemens KI-Anwendung, noch zuverlässiger werden und die Einstiegshürden verschwinden lassen - so zumindest die Theorie.

Wie es in der Praxis aussieht, das erfahren wir von Senseye-Projektleiter Andreas Dettmer und von Dominik Klemm, Anwender der ersten Stunde aus dem Gerätewerk Erlangen. 

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we discussed the topic of The Power of Predictive Maintenance in Middle East Manufacturing - with Johnathan Bonner and Rakesh D'souza.

This episode covers:

• Overview and Benefits: Explanation of predictive maintenance and its advantages over traditional methods, including cost savings and improved efficiency.

• Key Technologies: Discussion on the crucial technologies enabling predictive maintenance and their accessibility to Middle East manufacturers.

• Implementation Challenges: Insights into the common challenges faced and solutions for integrating predictive maintenance in manufacturing processes.

• Economic and Environmental Impact: Analysis of the economic benefits, ROI, and contributions to sustainability through predictive maintenance.

• Future Trends: Exploration of emerging trends and the future direction of predictive maintenance in the Middle East manufacturing sector.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Watch the webinar recording here: https://www.siemens.com/mea/en/products/automation/senseye-process-manufacturing.html?elqTrackId=13141B270A7933953E7D5D3F977827C1&elq=0f5d884e93f7451995848a5a87f6a81f&elqaid=62147&elqat=1&elqCampaignId=#Registration

A digitalização está transformando radicalmente a forma como lidamos com a manutenção de equipamentos e instalações. A manutenção preditiva, em particular, emerge como uma ferramenta vital nesse contexto. Descubra como a plataforma Senseye, impulsionada por inteligência artificial e machine learning, pode te ajudar a prever e prevenir falhas economizando tempo e dinheiro.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic ofPredictive maintenance for charging infrastructure- with Stefan Lerbs.

Key takeaways:

• Focus on Data Analysis and Condition-Based Maintenance:

  • Exploring the role of advanced data analysis and maintenance strategies.

  • Emphasis on maximizing uptime for electric vehicle charging stations.

• Real-Time Insights for Preventive Maintenance:

  • Use of real-time data to identify potential issues before they escalate.

  • Ensures seamless operations and minimizes downtime.

• Impact on Electric Bus and Truck Fleets:

  • Importance of these strategies for maintaining efficient charging infrastructure.

  • Specific focus on electric buses and trucks.

• Future of Smart, Efficient Charging Infrastructure:

  • Discussion on the broader implications for the future of EV charging.

  • Highlighting the episode as essential for those interested in advanced charging solutions.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we discussed the topic of Data is still the engine of growth - with Ryan Prosser and Dan Fudge.

Key takeaways:

• Vast, high-quality data is crucial for the AI boom as it enables more accurate models and drives advancements through accessible resources.

• Sensors optimize business operations by providing real-time data, and businesses must customize IoT infrastructure to meet specific needs.

• A multidisciplinary approach integrates various fields into IoT systems, while AI and edge computing enhance performance by reducing latency.

• AI in IoT systems offers cost and security benefits but presents challenges in ensuring robust security and adapting to evolving wireless solutions.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Learn more about this at:

Website: Very | IoT Development Company | Award Winning IoT

Over the Air Podcast: IoT Podcast | Over the Air l Very

This episode is owned by PA Digitalization Tech Talks Podcast Series.

In this episode, we explore synergies between artificial intelligence and predictive maintenance in the process industries. Discover how AI revolutionizes maintenance protocols, predicts the unpredictable and safeguards against equipment failure.

These algorithms monitor, analyze, and forecast, turning vast streams of data into actionable insights while working tirelessly behind the scenes to ensure that facilities run smoothly with minimal interruption.  

Our guest, Alex Hill with Siemens who is focused on predictive maintenance for industrial applications will answer several questions, such as: 

• What data is critical for AI systems to effectively predict equipment failures, and how is this data collected? 

• How does a company get started with implementing AI for predictive maintenance?  

• What are some of the key challenges in integrating AI with existing maintenance infrastructure? 

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Richard Ella to discuss

This episode covers:

• What are the key roles involved in implementing a successful predictive maintenance program?

• How important are reliability engineers and digital transformation leaders to the process?

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Richard Ella to discuss

This episode covers:

• What are the key roles involved in implementing a successful predictive maintenance program?

• How important are reliability engineers and digital transformation leaders to the process?

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

This episode is owned by PA Digitalization Tech Talks Podcast Series.

In this episode, we explore synergies between artificial intelligence and predictive maintenance in the process industries. Discover how AI revolutionizes maintenance protocols, predicts the unpredictable and safeguards against equipment failure.

These algorithms monitor, analyze, and forecast, turning vast streams of data into actionable insights while working tirelessly behind the scenes to ensure that facilities run smoothly with minimal interruption.  

Our guest, Alex Hill with Siemens who is focused on predictive maintenance for industrial applications will answer several questions, such as: 

• What data is critical for AI systems to effectively predict equipment failures, and how is this data collected? 

• How does a company get started with implementing AI for predictive maintenance?  

• What are some of the key challenges in integrating AI with existing maintenance infrastructure? 

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

This episode is owned by PA Digitalization Tech Talks Podcast Series.

In this episode, we explore synergies between artificial intelligence and predictive maintenance in the process industries. Discover how AI revolutionizes maintenance protocols, predicts the unpredictable and safeguards against equipment failure.

These algorithms monitor, analyze, and forecast, turning vast streams of data into actionable insights while working tirelessly behind the scenes to ensure that facilities run smoothly with minimal interruption.  

Our guest, Alex Hill with Siemens who is focused on predictive maintenance for industrial applications will answer several questions, such as: 

What data is critical for AI systems to effectively predict equipment failures, and how is this data collected? 

How does a company get started with implementing AI for predictive maintenance?  

What are some of the key challenges in integrating AI with existing maintenance infrastructure? 

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Peter Schopf to discuss IoT Time.

This episode covers:

• Process automation

• AI and Agents

• Insurance Use cases

• Data Strategy

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Tom Jacques to discuss the key to successful predictive maintenance deployments.

This episode covers:

• Learn how successful organizations foster a proactive, data-centric culture that encourages cross-department collaboration.

• Discover effective strategies for securing buy-in at all levels through clear communication, stakeholder involvement, and training.

• Understand the primary objectives of predictive maintenance and how to align them with your overall business goals.

• Get insights into the financial aspects, including initial costs and long-term savings, and how to conduct a cost-benefit analysis.

• Uncover common misconceptions and learn how to mitigate risks through education, robust data security, and adaptive strategies.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Gerhard Kress to discuss Siemens Xcelerator, interoperability and scalable solutions.

In this episode we discuss:

• Siemens Xcelerator: Revolutionizing Business Efficiency: Explore how Siemens Xcelerator is transforming businesses with its innovative approach to interoperability and scalability in technology solutions.

• Driving Collaboration and Growth: Discover how Siemens Xcelerator fosters collaboration among teams and facilitates scalable solutions to meet the evolving needs of businesses across industries.

• Securing the Future of Digital Transformation: Learn how Siemens Xcelerator prioritizes data security while embracing emerging technologies, providing businesses with the tools they need to thrive in today's dynamic technological landscape.

You can find out more about Siemens Xcelerator below:

https://xcelerator.siemens.com/global/en.html

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. This episode has been extracted from the Over the Air Podcast:

https://www.verytechnology.com/iot-podcast/generative_ai

Please subscribe via your selected podcast provider to be notified about future episodes.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Nat Ford to discuss Why Predictive Maintenance shouldn't be free.

In this episode we:

• Why are free PdM solutions becoming more common?

• Differences between offerings that are free vs paid

• In what ways does offering predictive maintenance for free influence customer expectations?

• Why should a customer invest more in a scalable, predictive maintenance programme?

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Dr Natalie Kurgan, to discuss Problems with offline data analysis.

Liz Maginn and Dr. Natalie Kurgan discuss the challenges of using offline data with Senseye Predictive Maintenance. 

• Prove Senseye with Live Data and get real results during the trail 

• Senseye is a tool that works with your data and you to improve maintenance

• Senseye is looking towards the future and preventing failures not looking towards the past to prove why a failure happened

• Touches on data quality and the process of integrating Senseye

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Evan Kaplan, CEO of InfluxData, to discuss the role of time series data in creating intelligent IIoT systems.

In this episode we:

• Discussed the significance of IIoT and the importance of time series data in monitoring and optimizing industrial processes.

• Explored real-world examples and case studies of industries successfully using time series data to enhance their IIoT systems.

• Covered the role of sensors in capturing data, challenges in data collection, and methods for storing and analyzing large volumes of time series data.

• Highlighted how time series data enables predictive maintenance and anomaly detection, preventing equipment failures and improving operational efficiency.

• Discussed emerging technologies, future trends, and the evolving role of time series data in advancing intelligent IIoT systems.

Learn more about InfluxData:

Website: InfluxDB | Real-time insights at any scale | InfluxData

Free Trial: Get InfluxDB | #1 Ranked Time Series Database | InfluxData

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Tom Jacques to discuss Predictive Maintenance - Build vs Buy.

In this episode we:

• Discover key factors in choosing between developing or purchasing a predictive maintenance solution.

• Understand the risks and uncertainties of both approaches.

• Learn strategies to mitigate risks for a smooth implementation.

• Explore differences in customization and scalability between custom-built and purchased solutions.

• Delve into integration, compatibility issues, and future trends in predictive maintenance with AI advancements.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Anja Adling to discuss.

The True Cost of Downtime 2024

In this episode we cover:

• Overview of Senseye's True Cost of Downtime report Key findings and insights from the report

• Primary factors contributing to downtime and emerging trends

• Emerging technological innovations for reducing downtime

• Influence of the report on organizational decision-making

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Anja Adling to discuss. The True Cost of Downtime 2024

In this episode we cover:

• Overview of Senseye's True Cost of Downtime report Key findings and insights from the report

• Primary factors contributing to downtime and emerging trends

• Emerging technological innovations for reducing downtime

• Influence of the report on organizational decision-making

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Kevin O'Donovan to discuss Digital Transformation and the art of the possible.

In this episode we cover:

• what digital transformation truly means and why it's essential for businesses of all sizes in today's rapidly evolving landscape.

• the critical components of a successful digital transformation strategy, including balancing innovation with risk, fostering a supportive company culture, and leveraging emerging technologies.common pitfalls to avoid, methods to measure the success of digital initiatives, and how leaders can promote continuous innovation and adaptability within their organizations.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Johnathan Bonner to discuss challenges within the Automotive Industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session we discussed Readiness for predictive maintenance in Australia - with Richard Ella.

This episode covers:

• Current trends in predictive maintenance adoption in Australia

• Key barriers to widespread use of predictive maintenance in Australia

• Potential cost savings, efficiency improvements, and emerging innovations specific to the Australian market

• How Bluescope Steel has embraced digital transformation throughout their organisation

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Johnathan Bonner to discuss challenges within Heavy Industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode we are joined by Peter O'Hara

• Discover how our Senseye Predictive Maintenance prioritizes customer success and maximizes value.

• Learn about our seamless onboarding process and integration support.

• Explore the resources and channels we offer for effective platform use.

• Hear about common challenges and how we help customers overcome them.

• See real-world examples of successful outcomes and ROI with our solution.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, host Spencer Acain is joined by Dr. James Loach, Head of Research for Senseye Predictive Maintenance, to explore the unique approach Senseye is taking to the problem of keeping factories running as smoothly as possible.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, host Spencer Acain is joined by Dr. James Loach, Head of Research for Senseye Predictive Maintenance, to explore the unique approach Senseye is taking to the problem of keeping factories running as smoothly as possible.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, host Spencer Acain is joined by Dr. James Loach, Head of Research for Senseye Predictive Maintenance, to explore the unique approach Senseye is taking to the problem of keeping factories running as smoothly as possible.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, we discuss Readiness for predictive maintenance (UK) with Nat Ford.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, we discuss Mobile Mining with Richard Ella.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, we discuss Mobile Mining with Richard Ella.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this two part episode, we were joined by Chris Garrison to discuss:

• Fundamental principles of vibration spectral analysis

• How it aids industrial predictive maintenance strategies.

• Key obstacles and typical mitigation strategies.

• Exciting developments in technology within this area

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this two part episode, we were joined by Chris Garrison to discuss:

• Fundamental principles of vibration spectral analysis

• How it aids industrial predictive maintenance strategies.

• Key obstacles and typical mitigation strategies.

• Exciting developments in technology within this area

Please subscribe via your selected podcast provider to be notified about future episodes. You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this two part episode, we were joined by David Peterson to discuss:

• Key components in an RFP for predictive maintenance solutions Effective strategies for defining requirements and objectives

• Strategies to attract qualified vendors

• Common pitfalls to avoid

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this two part episode, we were joined by David Peterson to discuss:

• Key components in an RFP for predictive maintenance solutions Effective strategies for defining requirements and objectives

• Strategies to attract qualified vendors

• Common pitfalls to avoid

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Acompáñanos en una amena conversación con el equipo de Senseye. Este episodio está dirigido tanto a profesionales de la industria como a cualquier persona interesada en el futuro del mantenimiento industrial. En este episodio exploraremos:

• Cómo funciona el Mantenimiento Predictivo: Te explicaremos de forma clara y sencilla los principios básicos del Mantenimiento Predictivo.

• Desmitificando conceptos erróneos: Abordaremos las ideas falsas más comunes que rodean al Mantenimiento Predictivo.

• Resultados tangibles: Te mostraremos casos reales de cómo el Mantenimiento Predictivo ha beneficiado a las empresas.

• Lo que necesita un cliente: Discutiremos los elementos clave para implementar con éxito estrategias de Mantenimiento Predictivo.

Recuerda: La clave para la excelencia operativa está en ser proactivo. ¡No te quedes atrás!Suscríbase a través de su proveedor de podcasts seleccionado para recibir notificaciones sobre episodios futuros. Puede obtener más información sobre cómo Senseye Predictive Maintenance puede reducir el tiempo de inactividad no planificado y contribuir a mejorar la sostenibilidad dentro de sus plantas de fabricación visitando: www.siemens.com/senseye-predictive-maintenance

Acompáñanos en una amena conversación con el equipo de Senseye. Este episodio está dirigido tanto a profesionales de la industria como a cualquier persona interesada en el futuro del mantenimiento industrial.

En este episodio exploraremos:

• Cómo funciona el Mantenimiento Predictivo: Te explicaremos de forma clara y sencilla los principios básicos del Mantenimiento Predictivo.

• Desmitificando conceptos erróneos: Abordaremos las ideas falsas más comunes que rodean al Mantenimiento Predictivo.

• Resultados tangibles: Te mostraremos casos reales de cómo el Mantenimiento Predictivo ha beneficiado a las empresas.

• Lo que necesita un cliente: Discutiremos los elementos clave para implementar con éxito estrategias de Mantenimiento Predictivo.

Recuerda: La clave para la excelencia operativa está en ser proactivo. ¡No te quedes atrás!

Suscríbase a través de su proveedor de podcasts seleccionado para recibir notificaciones sobre episodios futuros. Puede obtener más información sobre cómo Senseye Predictive Maintenance puede reducir el tiempo de inactividad no planificado y contribuir a mejorar la sostenibilidad dentro de sus plantas de fabricación visitando: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode features an exclusive presentation given by Dr Simon Kampa at Hannover Messe 2024. He covers the topic of Transforming Predictive Maintenance by Combining Data, People and Generative AI and highlights the key features of the Senseye PdM application.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this session we discuss Industrial AI with Boris Scharinger. Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this session we discuss Industrial AI with Boris Scharinger. Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this session we discuss Readiness for PdM in India with Abhishek Basu. Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this session we discuss Readiness for PdM in India with Abhishek Basu. Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this session we discuss IoT time with Peter Schopf and Christina Schloter. Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this session we discuss Plant Maintenance Services Contracts and Predictive Maintenance with Prasad Narayanan. Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session we discuss Data, AI and Predictive Maintenance for Sustainability with Rob Russell.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session we are joined by Dominik Klemm to discuss Senseye Predictive Maintenance at GWE.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we discuss The Misconceptions of Predictive Maintenance

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we discuss The Misconceptions of Predictive Maintenance

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Richard Ella to discuss Technology Adoption in Metals and Mining

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by Richard Ella to discuss Technology Adoption in Metals and Mining

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants. For this session, we were joined by James Loach to discuss the impact of Generative AI on Predictive Maintenance

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Nathaniel Ford where we discuss the truth about predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we were joined by Johnathan Bonner to discuss the topic of Predictive Maintenance Unmasked: Challenges within the FMCG Industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Dan Reid to discuss the topic of Generative AI and Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.For this session, we discuss the topic of 'A day in the life of a maintainer'. Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Anders Ottoson to discuss the topic of The State of Readiness in the Danish Market.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Rob Russell to discuss the topic of Generative AI and Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Tamsin Turner to discuss the topic of Phases of a PdM Project.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance. This platform enables predictive maintenance at scale across all of your assets, across all of your plants. For this episode, we revisit SPS 2023 with an insightful overview of the Industrial Information Hub delivered by Rob Russell and Ender Yuezbasioglu.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Dr Chris Smith to discuss the topic of Predictive Maintenance vs Condition Monitoring.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part two of this session, we discuss the topic of 'Predictive Maintenance is more than just asset prediction'.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part one of this session, we discuss the topic of 'Predictive Maintenance is more than just asset prediction'.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part two of this session, we were joined by Richard Ella to discuss the topic of Keeping Mines Moving with Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part one of this session, we were joined by Richard Ella to discuss the topic of Keeping Mines Moving with Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part 3 of this session, Sarah Black-Smith, Sustainability Lead and General Manager Motion Control at Siemens Digital Industries, joined us to discuss the key learnings derived from Siemens Congleton.

Please subscribe via your selected podcast provider to be notified about future episodes. You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Sarah Black-Smith, Sustainability Lead and General Manager Motion Control at Siemens Digital Industries.Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Sarah:

https://www.linkedin.com/in/sarahblacksmith/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this live session from SPS 2023, you will learn from the experts how Insights Hub promotes a seamless eco-system within organizations and includes applications such as Senseye Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Sarah Black-Smith, Sustainability Lead and General Manager Motion Control at Siemens Digital Industries.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Sarah:

https://www.linkedin.com/in/sarahblacksmith/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Peter Schopf, an industry leading digital transformation expert to discuss all things IoT.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Peter Schopf:

https://www.linkedin.com/in/peter-schopf/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, to discuss how to prepare the next generation for digital transformation success.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey on LinkedIn:

https://www.linkedin.com/in/coreydickens/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Nat Ford, Business Development Lead for EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, to discuss how to prepare the next generation for digital transformation success.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey on LinkedIn:

https://www.linkedin.com/in/coreydickens/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.

This episode was recorded live at SPS 2023 with Rob Russell, Anja Adling and Dominik Brenner.

They discussed how advanced data analysis and machine learning enhances asset monitoring, enable precise maintenance, support remote workers, increase availability, and ensure sustainability for both individual machines and entire plants.

For more information about how you can redefine reliability in your organization through predictive maintenance, please visit:

https://www.siemens.com/predictive-services

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, to discuss how to prepare the next generation for digital transformation success.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey on LinkedIn:

https://www.linkedin.com/in/coreydickens/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part the third and final of this series, Lima Huertas, Industry Executive for Manufacturing UK at Microsoft, joins us to discuss the future of digital manufacturing.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Lina on LinkedIn:

https://www.linkedin.com/in/lina-a-huertas-fimeche-95b560b/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part two of this series, Lima Huertas, Industry Executive for Manufacturing UK at Microsoft, joins us to discuss the future of digital manufacturing.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Lina on LinkedIn:

https://www.linkedin.com/in/lina-a-huertas-fimeche-95b560b/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Richard Ella, Mobile Mining Service Team Leader at Siemens, to discuss: "Technology/IoT adoption in metals and mining."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part one of this series, Lima Huertas, Industry Executive for Manufacturing UK at Microsoft, joins us to discuss the future of digital manufacturing.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Lina on LinkedIn:

https://www.linkedin.com/in/lina-a-huertas-fimeche-95b560b/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this episode, we have compiled our favourite soundbites from previous Trend Detection episodes.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Rob Russell, Head of Predictive Maintenance Strategy & Delivery, Senseye Predictive Maintenance, to discuss: "Attention Engine vs Asset Risk - Leveraging AI in predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, to discuss the differences between a proof of concept and value for predictive maintenance projects.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For the third and final part of this series, Emma Crichton and Jonathan Truslove from Engineers Without Borders UK join us to discuss the role engineering plays in ensuring humanity and the planet thrives.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Learn more about Engineers Without Borders:

https://www.ewb-uk.org/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part two of this series, Emma Crichton and Jonathan Truslove from Engineers Without Borders UK join us to discuss the role engineering plays in ensuring humanity and the planet thrives.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Learn more about Engineers Without Borders:

https://www.ewb-uk.org/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part one of this series, Emma Crichton and Jonathan Truslove from Engineers Without Borders UK join us to discuss the role engineering plays in ensuring humanity and the planet thrives.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Learn more about Engineers Without Borders:

https://www.ewb-uk.org/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this episode, Kelli Case and Emily Johnson discuss the ins and outs of predictive maintenance in the food and beverage industry.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Kelli Case:

https://www.linkedin.com/in/anshill

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For the third and final part of this series, we were joined by Nick Ford, Chief Growth Officer for Mendix, to reimagine digital transformation in 2023 and beyond.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nick Ford:

https://www.linkedin.com/in/nick-f-4856a19

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part two of this series, we were joined by Nick Ford, Chief Growth Officer for Mendix, to reimagine digital transformation in 2023 and beyond.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nick Ford

https://www.linkedin.com/in/nick-f-4856a19

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For part one of this series, we were joined by Nick Ford, Chief Growth Officer for Mendix, to reimagine digital transformation in 2023 and beyond.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nick Ford

https://www.linkedin.com/in/nick-f-4856a19

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For the third and final episode in this three part series we're joined by James Bond, an individual with over 25 years of experience in maintenance, condition based monitoring and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For the second episode in this three part series we're joined by James Bond, an individual with over 25 years of experience in maintenance, condition based monitoring and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this three part series we're joined by James Bond, an individual with over 25 years of experience in maintenance, condition based monitoring and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this episode, we have compiled our favourite soundbites from previous Trend Detection episodes featuring Alex Hill, Global Head of Business Development for Senseye Predictive Maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Peter Schopf, a digital transformation expert who also works for Siemens to discuss all things IoT.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Peter Schopf:

https://www.linkedin.com/in/peter-schopf/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Chris Smith, Implementation Lead and Johnathan Bonner, Head of Solution Engineering for Senseye Predictive Maintenance, to discuss: "Harvesting value from your Machine Data."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this 2 part series looking at "Overcoming the key challenges in IIoT" we're joined by Rob Russell, Head of Predictive Maintenance Strategy and Delivery at Siemens and Richard Jeffers, Founder and Managing Director at RS Industria.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Rob Russell:

https://www.linkedin.com/in/robertbrussell/

Connect with Richard Jeffers:

https://www.linkedin.com/in/richard-jeffers-2860a08/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this 2 part series looking at "Overcoming the key challenges in IIoT" we're joined by Rob Russell, Head of Predictive Maintenance Strategy and Delivery at Siemens and Richard Jeffers, Founder and Managing Director at RS Industria.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Rob Russell:

https://www.linkedin.com/in/robertbrussell/

Connect with Richard Jeffers:

https://www.linkedin.com/in/richard-jeffers-2860a08/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this 3 part series deep diving into predictive maintenance at Siemens, we're joined by Anja Adling, Head of Portfolio Management and Development of Analytics Services at Siemens.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Anja Adling:

https://www.linkedin.com/in/anja-adling//

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this episode, we're joined by Chris Garrison, Application Services Engineer for Senseye Predictive Maintenance to discuss why there is sometimes a resistance to scaling predictive maintenance across an organization.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Chris Garrison

https://www.linkedin.com/in/chris-j-garrison

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this 3 part series deep diving into predictive maintenance at Siemens, we're joined by Anja Adling, Head of Portfolio Management and Development of Analytics Services at Siemens.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Anja Adling:

https://www.linkedin.com/in/anja-adling//

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this 3 part series deep diving into predictive maintenance at Siemens, we're joined by Anja Adling, Head of Portfolio Management and Development of Analytics Services at Siemens.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Anja Adling:

https://www.linkedin.com/in/anja-adling//

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

At this live session at the Smart Factory Expo in June, Rob Russell, Head of Predictive Maintenance Strategy and Delivery at Siemens, reveals the key findings from our "Readiness for Predictive Maintenance at Scale" report.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

And download the report in full here

Connect with Rob Russell:

https://www.linkedin.com/in/robertbrussell/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this live session, we were joined by David Peterson, a Pre Sales Engineer for Senseye Predictive Maintenance, to discuss: "Leveraging existing data for predictive maintenance success."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this live session, we were joined by Alex Hill, Global Head of Business Development for Senseye Predictive Maintenance, to discuss: "Building a business case for predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

At this live session at the Smart Factory in June, Dr Simon Kampa, Global Head of Senseye Predictive Maintenance at Siemens, discusses "How to eliminate unplanned downtime."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Simon Kampa:

https://www.linkedin.com/in/simonkampa

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, who is the global leader in intelligent asset management solutions.

This is the third and final episode in this series, where we dive into some of the lessons he has taken from the military into the maintenance and manufacturing spaces.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey Dickens:

https://www.linkedin.com/in/coreydickens/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, who is the global leader in intelligent asset management solutions.

This is the second episode in this series, where we dive into some of the lessons he has taken from the military into the maintenance and manufacturing spaces.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey Dickens:

https://www.linkedin.com/in/coreydickens/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this live session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Corey Dickens, Solutions Consultant at Brightly, a Siemens company, who is the global leader in intelligent asset management solutions.

For this first episode in this series, we dive into some of the lessons he has taken from the military into the maintenance and manufacturing spaces.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Corey Dickens:

https://www.linkedin.com/in/coreydickens/

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

In this episode, we're joined by Dragan Trivanovic, Asset Condition Manager at Mercer Celgar, one of the world’s largest producers in the pulp and paper industry.

During our conversation, we discussed the challenges they faced monitoring their assets, why predictive maintenance helped to solve these issues and the reasons for choosing Senseye for helping to achieve their business goals.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Alex Hill, Global Head of Business Development, Senseye Predictive Maintenance.

For this first episode in our industry focus series, we dive into how predictive maintenance is helping metals and mining manufacturers to create a competitive advantage in their market through IoT and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Alex Hill, Global Head of Business Development, Senseye Predictive Maintenance.

For this first episode in our industry focus series, we dive into how predictive maintenance is helping food and beverage manufacturers to create a competitive advantage in their market through IoT and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Alex Hill, Global Head of Business Development, Senseye Predictive Maintenance.

For this first episode in our industry focus series, we dive into how predictive maintenance is helping automotive manufacturers to create a competitive advantage in their market through IoT and predictive maintenance.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting:

www.siemens.com/senseye-predictive-maintenance

Connect with Alex Hill:

https://www.linkedin.com/in/anshill

Connect with Niall Sullivan:

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this session, we were joined by Dr Chris Smith, Implementation Lead, Senseye Predictive Maintenance, who took part in our first ever episode of Trend Detection Live.

For this special episode we revisited the topic of "How to avoid PdM project failure" which we discussed in our earlier conversation.

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Connect with Chris Smith:

https://www.linkedin.com/in/chris-smith-97808886/

Connect with Niall Sullivan

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this live session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan

https://www.linkedin.com/in/niall-sullivan/

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this live session, we were joined by Rob Russell, Head of Predictive Maintenance Strategy & Delivery, Senseye Predictive Maintenance, to discuss: "Predictive maintenance in the real world."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.

For this live session, we were joined by Nat Ford, Business Development Director EMEA, Senseye Predictive Maintenance, for our latest episode in an ongoing series looking at: "The truth about predictive maintenance."

Please subscribe via your selected podcast provider to be notified about future episodes.

You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance

Connect with Nat Ford:

https://www.linkedin.com/in/natford/

Connect with Niall Sullivan

https://www.linkedin.com/in/niall-sullivan/

Hello and welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants. 

This is our 1st episode on the Siemens podcast network, where you can listen to insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation. 

Show notes

Senseye Predictive Maintenance podcast archive: https://podcasters.spotify.com/pod/show/trend-detection-senseye