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How can we really digitalize our Industry? Join us as we navigate through the innovations and challenges shaping the future of manufacturing and critical infrastructure. From insightful interviews with industry leaders to deep dives into transformative technologies, this podcast is your guide to understanding the digital revolution at the heart of the physical world. We talk about IT/OT Convergence and focus on People & Culture, not on the Buzzwords. To support the transformation, we discover which Technologies (AI! Cloud! IIoT!) can enable this transition.
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The podcast The IT/OT Insider Podcast – Pioneers & Pathfinders is created by By David Ariens and Willem van Lammeren. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
Welcome to Episode 1 of our special podcast series on Industrial Data.
In this episode, David and Willem take you behind the scenes of their Industrial Data Platform Capability Map—a structured way to understand how organizations can truly leverage their industrial data. David talks about the role of a platform and which capabilities are needed to build it. He also focuses on the role of Data Management and how that is linked to building a Unified Namespace.
But that's just the beginning!
We’ve lined up a series of exciting conversations with industry tech leaders, showcasing their solutions and cutting-edge innovations in industrial data platforms. And the timing couldn’t be better: with Hannover Messe just around the corner, data will undoubtedly be one of the hottest topics on everyone’s mind.
Subscribe now to receive every episode in this series on Industrial Data!
If you are interested in Industrial Data, you should definitely review these earlier articles: Part 1 (The IT and OT view on Data), Part 2 (Introducing the Operational Data Platform), Part 3 (The need for Better Data), Part 4 (Breaking the OT Data Barrier: It's the Platform), Part 5 (The Unified Namespace) and Part 6 (The Industrial Data Platform Capability Map)
Stay Tuned for More!
Subscribe to our podcast and blog to stay up-to-date on the latest trends in Industrial Data, AI, and IT/OT convergence.
See you in the next episode!
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Manufacturing has long been the backbone of global economies, yet the industry often remains hidden in plain sight, tucked away in industrial parks and misunderstood by the public. In this episode David was joined by Mike Nager.
Mike Nager is a passionate advocate for Smart Manufacturing, with a career that began in electrical engineering, where he worked closely with manufacturers to automate and optimize their production processes. Over time, he visited hundreds of plants—ranging from automotive and pharmaceuticals to paper mills and tire factories—each with its own unique challenges and stories. From the carbon-black-coated environments of tire production to the ultra-clean rooms of semiconductor manufacturing, Mike witnessed firsthand the diversity of manufacturing and the dedication of the people behind the scenes.
“It’s a world most people never get to see and part of my mission is to provide a window into that world.”
He currently serves as a Business Development Executive at Festo Didactic, the technical education arm of the Festo Group, which provides equipment and solutions to prepare the workforce of tomorrow—a mission that’s more important now than ever.
As if that weren’t enough, Mike is also an author, having published several engaging books, including All About Smart Manufacturing, a children’s book with delightful illustrations, and his Smart Student's Guide, aimed at helping students navigate the path to manufacturing careers.
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Addressing the Awareness Gap
One of Mike’s key messages is the need to bridge the “awareness gap” in manufacturing. For years, the perception of manufacturing as dirty, dangerous, and undesirable work has discouraged young people from pursuing these careers. However, as Mike explained, the tide is turning. Modern manufacturing offers high-paying, stable careers in fields like robotics, automation, and data analysis.
We talked about how technical education can be a pathway to well-paying jobs, even for those without four-year degrees. “In some regions, students who complete just a year or two of technical training can go from earning minimum wage to $40 or $50 an hour with overtime,” he said. “It’s a massive opportunity for those who are willing to learn.”
The Role of Education in Revitalizing Manufacturing
As part of his work, Mike collaborates with educators to create hands-on training programs that prepare students for real-world manufacturing environments. Inspired by the German apprenticeship model, these programs emphasize learning by doing, providing students with the skills they need to succeed on the factory floor.
Yet, as Mike pointed out, the U.S. education system faces unique challenges. Unlike Germany, where apprenticeships are embedded in the culture, the U.S. relies heavily on public education to develop technical skills. This gap in structured training has made it even more critical to create accessible and engaging educational resources.
A Mission to Inspire—From High School to Children’s Books
Mike has taken a creative approach to inspiring interest in manufacturing. In addition to his professional work, he’s authored a children’s book, All About Smart Manufacturing, and a high school-focused Smart Students Guide. These books introduce young readers to the possibilities of manufacturing careers, using relatable language and illustrations to make the subject approachable.
“The first book was aimed at high school students, but I realized they’d already chosen their paths,” Mike explained. “That’s when I decided to write for younger kids, to plant the seed of curiosity early on.”
The Future of Manufacturing Careers
We also touched on broader trends shaping the industry, such as the push for local manufacturing due to national security concerns and the growing need for technical talent in an increasingly automated world. Mike emphasized that while automation is transforming processes, people remain at the heart of manufacturing.
“The idea of a ‘lights-out factory’—completely automated with no people—has been talked about for decades. But in reality, people are still essential, and their roles are evolving to require more technical and analytical skills.”
Closing Thoughts
Mike’s passion for manufacturing and education is clear: from his hands-on work with educators to his mission of raising awareness through books and outreach. His vision for the future of manufacturing is one where education, automation, and human creativity come together to revitalize the industry.
Or as Mike put it:
“Manufacturing is one of the few industries that truly creates wealth. It’s not just about making things—it’s about building communities and creating opportunities.”
Whether you’re an educator, a parent, or simply curious about the future of manufacturing, Mike’s insights are a valuable reminder of the importance of inspiring the next generation. As the industry evolves, it’s clear that the need for skilled, passionate people will only grow.
Find Mike on LinkedIn: https://www.linkedin.com/in/mikenager/
Interested in one of his books? Printed and e-book versions available here: https://www.industrialinsightsllc.com/#books
This episode was one of our most engaging yet on the topic of AI. David sat down with Dr. Wilhelm Klein, an expert in Automated Quality Control and holder of a PhD in Ethics. As the co-founder and CEO of Zetamotion, Wilhelm brings a mix of hands-on experience and deep understanding of the ethical questions surrounding technology.
Over the hour, we covered a lot of ground—how AI has evolved, its role in manufacturing, and the challenges of scaling systems from Proof of Concept (PoC) to full production. Wilhelm explained how computer vision is changing quality control. We also explored the ethical questions raised by AI, touching on its impact on industries, jobs, and decision-making.
If you’re interested in AI’s practical applications and the questions it raises about the way we work and live, this episode has plenty to offer.
The Starship Enterprise
Wilhelm’s journey began with a childhood fascination with science fiction, tinkering, and a deep curiosity about the inner workings of technology and society. His academic path in technology ethics and sustainability, combined with his entrepreneurial work at Zetamotion, provides a unique perspective on AI's role in reshaping manufacturing processes, particularly in quality control.
Wilhelm focuses on integrating AI and machine vision to optimize manufacturing quality control. But as he emphasized during the conversation, the story of AI in this domain is more than just technology; it’s about aligning innovations with human values, operational realities, and societal needs.
The Last Mile Problem: Scaling AI Beyond Proof of Concept
One of the discussions revolved around the "last mile problem" in AI implementations. While many organizations can successfully deploy AI in Proof of Concept (PoC) stages, transitioning these systems into scalable, production-ready solutions is an entirely different challenge. This gap arises from unforeseen complexities, including technical integration, stakeholder alignment, and the adaptation of processes to new workflows.
“Scaling isn't just about having a functional prototype. It's about systemically embedding AI into the fabric of operations, which often reveals blind spots that were invisible during the PoC phase.”
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Ethics and the Future of AI
We also delved into the ethics of AI—a field Wilhelm has explored extensively. In the current debate, people often find themselves polarized between AI optimism and AI doom. Wilhelm offered a refreshingly balanced view, recognizing both the transformative potential of AI and the risks inherent in its misuse or unregulated growth.
"What I find interesting," he noted, "is that both optimists and pessimists bring valid arguments. The critical task is to address these challenges proactively while ensuring that AI development remains aligned with societal well-being." From bias in algorithms to potential job displacement, Wilhelm argued for a more nuanced understanding of AI's broader impacts, advocating for policies and practices that emphasize transparency, accountability, and inclusivity.
Practical AI in Action
At Zetamotion, Wilhelm and his team are leveraging AI to transform quality control processes. By automating inspection workflows, AI not only reduces human error but also enables faster decision-making and significant cost savings. These advancements have profound implications for sustainability as well, minimizing waste and enhancing resource efficiency across industries.
Yet, as Wilhelm pointed out, technology alone isn’t enough. The success of such initiatives depends on an organization’s ability to integrate AI into human-centric processes. This means involving frontline workers, addressing their concerns, and creating systems that are intuitive and supportive rather than alienating.
Looking Ahead: AI’s Place in Industry and Society
"The next five to ten years are going to be revolutionary. AI has already transformed many aspects of business and personal life, but the scale and speed of change we’re about to witness will challenge us in ways we can barely imagine."
Whether it’s navigating the ethics of AI, bridging the gap between innovation and operational utility, or understanding the cultural shifts AI demands, this episode underscored the importance of thoughtful engagement with technology. Wilhelm’s insights remind us that the future of AI isn’t just about algorithms or automation—it’s about shaping a world where technology serves humanity, not the other way around.
If you’re interested in the practical and philosophical dimensions of AI—or simply want a deeper understanding of its implications for industry and society—this podcast is a must-listen. It’s a conversation that challenges, inspires, and equips us to navigate the extraordinary opportunities and challenges that lie ahead.
Want to learn more?
Connect with Wilhelm on LinkedIn.More about AI & Quality Control: https://zetamotion.com/
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In this episode of the IT OT Insider podcast, host David interviews Davy Demeyer, an expert in industrial automation. Davy shares his extensive background in automation engineering, discussing the challenges faced in programming PLCs and the divide between IT and OT. He emphasizes the need for modern software development practices, such as DevOps and DesignOps, to improve automation workflows. Davy also explores the potential of generative AI in automation engineering and introduces the Society of Automation and Software Engineers, a community focused on combining automation and software principles. The conversation highlights the importance of evolving engineering practices to meet the demands of Industry 4.0. Chapters 00:00 Introduction to Davy de Meijer and His Journey 04:50 Understanding the Control Layer in Automation 09:55 Programming PLCs: Standards and Challenges 14:59 Bridging the Gap: Learning from Software Development 19:49 The Future of Automation: DesignOps and Generative AI 27:54 The Society of Automation and Software Engineers 32:58 The Importance of Design in Automation Engineering Want to know more? Find Davy on LinkedIn: https://www.linkedin.com/in/demeyerdavy/ More about SASE: https://sase.space/
Davy Demeyer has spent his career bridging the gap between traditional automation and the rapidly advancing world of digital technology. With decades of experience working on automation projects, he’s a passionate advocate for rethinking how we approach automation in the age of Industry 4.0.
Understanding the Basics: What Are PLCs and DCS?
Davy broke down two cornerstone technologies in automation:
* PLCs: Often referred to as the backbone of automation, PLCs are specialized computers designed to control machinery and industrial processes. They are programmed using proprietary languages like Ladder Logic or Structured Text, a method that hasn’t evolved significantly during the last decades.
* DCS (Distributed Control Systems): These are more complex systems, typically used for large-scale, continuous processes such as in chemical plants or refineries. They offer a centralized view and control of entire plants, integrating with various PLCs and other devices.
Despite their importance, Davy highlighted how their programming methodologies remain rooted in the past, limiting their adaptability to modern software development practices.
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The Programming Gap
We talked about the differences between traditional automation programming and modern software development. While the software industry has embraced Agile, DevOps, and cloud-native design, automation engineering often remains tied to rigid, manual workflows. This divergence creates a bottleneck for scalability and innovation in automation, which is essential for Industry 4.0. Even Excel plays a critical role in ‘modern’ software development… 😣
Davy emphasized how automation programming’s reliance on vendor-specific tools and proprietary languages makes collaboration difficult and slows down the pace of digital transformation.
Digital Transformation and Industry 4.0: The Bottleneck
Why does this gap matter for Industry 4.0? Digital transformation initiatives rely on seamless data flow, agile responses to changing conditions, and scalable solutions. However, the slow evolution of automation practices hinders:
* Scalability: New solutions remain siloed, with pilot projects often stuck in proof-of-concept stages.
* Integration: Connecting PLCs to IT systems, cloud platforms, or advanced analytics often requires costly custom solutions.
* Innovation: Without adopting modern practices, the automation industry risks falling behind in leveraging emerging technologies like AI or machine learning.
The Future: DesignOps for Automation
Davy proposed a vision for the future of automation: DesignOps for Automation Engineers. Borrowing from the software industry, DesignOps would focus on creating collaborative, integrated environments where engineers and developers work in harmony. He wants to Automate the Automation Engineer. This vision isn’t just theoretical—it’s already being championed in forward-thinking organizations.
SASE: Society of Automation Software Engineers
In line with this future, Davy introduced the Society of Automation Software Engineers (SASE), a community-driven initiative aimed at fostering collaboration and innovation in automation. SASE provides a platform for professionals to share best practices, develop new standards, and advocate for modernizing the industry.
Make sure to listen to this very interesting episode! (And subscribe to get our weekly new content 🙂)
Want to know more? Find Davy on LinkedIn: https://www.linkedin.com/in/demeyerdavy/ More about SASE: https://sase.space/
Welcome back to the IT/OT Insider Podcast, where we dig into the nuances of digital transformation and Industry 4.0. Today we welcome Jon “The Factory Guy” Weiss on the podcast! With a career that spans global leadership roles at GE Digital, Software AG, and Amazon, Jon now operates as an Industry 4.0 expert. His diverse experience gives him a unique perspective on how technology impacts the manufacturing landscape.
The State of Manufacturing Today
Kicking off the conversation, Jon reflects on a familiar theme: the manufacturing world is under strain, juggling aging infrastructure with a dwindling workforce. Labor shortages and skill gaps dominate the conversation, with manufacturers scrambling to retain institutional knowledge as veteran operators retire without adequate replacements. Jon contextualizes today’s challenges by tracing the evolution of industrial revolutions, especially post-WWII. Following a manufacturing boom, especially in the U.S., companies expanded rapidly but without modernizing infrastructure, leading to a reliance on aging systems.
Data’s Pivotal Role and DataOps
As the conversation shifts to data, Jon emphasizes the critical role of DataOps in optimizing manufacturing. Building a robust data foundation is a vital first step in deploying AI solutions effectively. Without it, any data-driven project risks failure. Manufacturing data isn’t just about numbers; it’s real-time insights on machine health, output efficiency, and product quality. A strong DataOps practice ensures that manufacturers can collect, clean, and utilize this data across various systems and departments.
What Can AI Bring to Manufacturing?
Jon offers a balanced view on AI, highlighting both its promise and its limits. While AI can automate specific tasks, optimize equipment, and predict maintenance needs, it’s not a silver bullet. In manufacturing, AI excels at identifying patterns and improving efficiency in structured, predictable environments. But its impact diminishes without high-quality, well-curated data. Manufacturers must recognize that implementing AI is a journey, requiring continuous improvement and the right expertise to maximize its benefits.
The Three Pitfalls in AI Implementation
Jon also shares insights into common pitfalls in manufacturing AI projects:
Rushing into Production: Companies often move too quickly from pilot projects to full production without thorough testing, resulting in issues that can halt or complicate operations. A slower, more phased approach ensures AI is reliable and integrated seamlessly.
Building a Solid Data Foundation: Quality data is essential, yet many companies still overlook it. Investing in data infrastructure—collection, storage, and processing—is crucial to making AI effective.
Justifying a True Business Case: AI can be flashy, but without a clear, measurable business case, it’s easy for projects to fall short of expectations. Manufacturers must evaluate the ROI of AI, focusing on realistic goals that align with broader business objectives.
ROI Discussion: Is AI Worth It?
Jon wraps up with thoughts on ROI, stressing that AI projects need to demonstrate value beyond the hype. This includes both direct financial gains, such as cost savings through predictive maintenance, and indirect benefits, like improved safety and reduced downtime. Achieving ROI in AI requires patience, strategic planning, and a commitment to building a strong data infrastructure from the start.
Listen to the full episode to hear Jon’s insights on navigating the AI landscape in manufacturing. Subscribe to the IT/OT Insider Podcast for more discussions on the latest in digital transformation and smart manufacturing.
You can find Jon on https://www.thefactoryguy.ai/ or on LinkedIn .
Welcome to the 10th episode ( 🎉) of The IT/OT Insider Podcast! David talks with Gregory Grauwels, who is the current Group OT Manager at Cloetta, a confectionery company in Europe. With years of experience in both industrial automation and digital transformation, Gregory has an impressive track record in OT management. In this podcast, he shares his insights and advice for those aspiring to start a career as an OT manager. Amongst other things, we talked about Doing things step by step, about Land and Expand and about Open architectures.
Gregory's Journey to OT Management
Gregory’s path to becoming an OT manager started with a deep technical background in industrial automation. After gaining experience in the petrochemical industry, where he worked on programming and integrating automation systems such as PLCs, HMIs, and SCADA systems, Gregory transitioned into more senior roles focused on digital transformation. Before joining Cloetta, Gregory held a role at Bayer, focusing on digital manufacturing initiatives like cybersecurity, digital maturity assessments, and overseeing Manufacturing Execution Systems (MES) and Manufacturing Operations Management (MOM).
His move to Cloetta marked a shift from the petrochemical sector to the confectionery industry, which brought unique challenges. As he describes it, "I went from petrochemical to confectionery, which was completely different but exciting." At Cloetta, he was tasked with modernizing their operational technology infrastructure while maintaining a balance between long-standing, traditional machinery and cutting-edge digital systems.
Key Challenges
One of the key challenges Gregory faces at Cloetta is managing a complex mix of old and new technologies. Cloetta, with its long history, still operates some older production machines alongside the latest modern equipment. “We have lines that have been in operation for decades, and some of these machines are still vital to our production processes,” Gregory explains. As an OT manager, one must ensure that these systems run smoothly and integrate with new digital initiatives.
Variation is also a unique challenge. Producing different types of confectionery—whether it’s chocolate, wine gums, or jelly beans—requires different technologies and processes. "Each product comes with its own set of machines and technology. The way we produce jelly beans is entirely different from how we make wine gums, and each of these technologies requires specialized knowledge and equipment,” he says.
Managing these varied technologies means an OT manager must be adept at navigating both older machinery and modern automation tools. Gregory emphasizes the importance of ensuring that every machine, whether old or new, works harmoniously to maintain production efficiency and quality.
Unified Namespace as the Data-Glue between all lines
A key concept in modern industrial digital transformation is the Unified Namespace (UNS), which also came up during our conversation. The UNS serves as a central repository or hub for real-time data exchange across all systems in an organization. In the context of IT/OT convergence, this approach allows for seamless communication between different systems—whether it's legacy equipment, modern IoT devices, or enterprise-level applications like ERP systems. Gregory explained that the Unified Namespace provides a structured, standardized framework that ensures data from various sources is consistently accessible and usable by both OT and IT teams. "The idea behind the UNS is to create a single source of truth for all operational data," Gregory noted. By doing so, organizations can eliminate data silos, improve interoperability, and enable more effective decision-making based on real-time insights. This is particularly useful for industries with diverse systems, where aligning data formats and communication protocols has traditionally been a significant challenge.
Advice for Aspiring OT Managers
* Develop a Strong Foundation in Industrial Technology: Gregory’s background in automation and digital manufacturing laid the groundwork for his success as an OT manager. Aspiring OT managers should focus on building a deep technical understanding of automation systems like PLCs, SCADA, and MES, as well as new digital technologies that are reshaping the industry. “A strong technical foundation is key because OT is all about managing the technology that keeps production running,” he advises.
* Learn to Manage Both Legacy and Modern Systems: In many industries, production lines often include a combination of legacy systems and the latest technologies. Gregory stresses the importance of balancing these two worlds. “You don’t replace a functioning machine just for the sake of digitalization. The challenge is to integrate new technologies in a way that complements the existing systems without disrupting production,” he explains.
* Focus on Practical Problem-Solving: Problem-solving is at the heart of OT management. Gregory emphasizes that a good OT manager needs to focus on practical, efficient solutions to keep production moving smoothly. “It’s not just about implementing the latest tools or systems; it’s about ensuring that everything works together seamlessly,” he says. This often involves finding creative solutions to integrate digital tools into established processes.
* Collaborate Across Teams and Departments: One of the most critical skills for an OT manager is the ability to collaborate effectively with different teams, from operators on the shop floor to upper management. Gregory highlights the importance of understanding the needs and challenges of each stakeholder involved in production. “As an OT manager, you’re the link between the technology and the people who use it. Strong communication and collaboration skills are essential,” he advises.
* Keep a Long-Term Vision for Digital Transformation: Gregory views digital transformation as an ongoing process that requires careful planning and a forward-looking mindset. “Digital transformation isn’t just about adopting new technologies; it’s about making continuous improvements to streamline production, reduce costs, and improve product quality,” he explains. For aspiring OT managers, having a strategic vision for how to integrate digital solutions into manufacturing is crucial for long-term success.
Thank you, Gregory, for joining us!
If you have an interesting story to share, feel free to reach out to David !
In this new podcast David had an insightful conversation with Klaas Dobbelaere, IIoT Connectivity Director at Electrolux (also known in some markets under their brands AEG or Frigidaire). Klaas shared valuable insights into the world of Industrial Internet of Things (IIoT) and how Electrolux is embracing IT/OT convergence to drive digital transformation in its manufacturing operations.
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The Electrolux Transformation Journey
Klaas started by highlighting Electrolux's digital transformation efforts across its global footprint. As a leading household appliance manufacturer, Electrolux has to innovate continuously while ensuring its operations remain efficient and sustainable. The company's focus on leveraging IIoT for seamless connectivity across its operations helps optimize everything from energy consumption to predictive maintenance.
One of the key takeaways from our conversation was the importance of actionable data. For Klaas, collecting data from machines, sensors, and production lines is not enough—what matters is translating that data into insights that can inform better decisions and improve operational efficiency. He stressed the significance of finding the right balance between cutting-edge technologies and the practical, everyday needs of the plant floor.
Building Bridges Between IT and OT
Historically, IT and OT have operated in silos—IT managing information systems, while OT focuses on controlling physical operations. This divide has often caused friction in industrial environments, but as Klaas explained, the boundaries are blurring rapidly.
At Electrolux, IT/OT integration is a critical driver for innovation. By bridging the gap, teams can create a more collaborative environment where both the data insights from IT systems and the operational know-how from OT experts can come together to drive better outcomes. One concrete example Klaas gave was their efforts to deploy real-time monitoring systems that allow engineers to analyze machine performance instantly, identifying issues before they lead to costly downtimes.
Navigating the Challenges
Of course, IT/OT convergence isn’t without its challenges. Klaas was candid about the growing pains Electrolux faced, including technical hurdles like legacy equipment integration and organizational barriers that often slow down progress. However, he emphasized the need for patience and strong leadership to guide teams through these transitions.
One challenge particularly close to Klaas' heart is the cultural shift that needs to occur. At Electrolux, as in many manufacturing companies, there's a deeply ingrained culture of precision, safety, and reliability. While these are strengths in traditional operations, they can slow down the adoption of new, agile technologies. For Klaas, the solution lies in fostering a mindset of continuous learning among employees and providing the right training to bridge the knowledge gap between IT and OT.
Future-Proofing Manufacturing with IIoT
Looking ahead, Klaas believes that the future of manufacturing lies in smart, connected ecosystems. He painted a vision of a factory where every machine, sensor, and operator is linked in a vast network, feeding real-time data into AI-driven systems. These systems will not only make predictions but will autonomously make decisions to optimize production processes.
However, he also issued a word of caution: “Technology can only take you so far. Without the right people and processes in place, even the most advanced systems will fall short.” His message was clear—people remain the most important asset in any digital transformation.
Conclusion
Our conversation with Klaas Dobbelaere underscores the critical role IT/OT convergence plays in the modern manufacturing landscape. For companies like Electrolux, harnessing the power of IIoT and data-driven insights is key to staying competitive and driving innovation. But success doesn’t come easy—it requires breaking down silos, fostering a culture of collaboration, and being willing to embrace change.
To kick off the second season of IT/OT Insider, we’re diving into the world of Digital Transformation, MES and change management with Bram Van Genabet. With a career that spans from refining oil at ExxonMobil over chocolate production at Barry Callebaut (Director of Digital Innovation) to his current role as independent consultant at La Lorraine Bakery Group (Director of Digital Strategy), Bram brings a wealth of experience and a fresh perspective on industrial digital transformation.
You really want to listen to this one.. we have a very cool announcement which we are sharing 😀
Setting the Scene for Digital Transformation
As we (David and Willem) settle back into our editorial chairs after summer, we couldn’t have asked for a more fitting guest to help us explore the themes of innovation and transformation that will define the next wave of content on The IT/OT Insider.
In our conversation, Bram emphasized that digital transformation is more than just a technological shift; it’s a fundamental change in how businesses operate.
"Successful digital transformation is about aligning digital initiatives with the core business strategy, ensuring that technology serves as an enabler rather than just an addition."
This alignment, according to Bram, is what separates successful digital transformations from those that fail to deliver real value.
The Shift from Innovation to Execution
One of the key takeaways from our interview is the critical importance of moving from innovation to execution. Bram notes that while many organizations excel at generating innovative ideas, the real challenge lies in execution:
“It’s easy to get caught up in the excitement of new technology, but without a clear execution plan, those ideas rarely translate into tangible business outcomes.”
Bram’s approach underscores this philosophy. By focusing on scalable solutions that integrate seamlessly into existing operations, he’s driving meaningful change that not only improves efficiency but also enhances the overall customer experience.
Bram talked about these concepts at AVEVA World, you can watch his keynote here:
Special announcement
As we wrap up our conversation, there's still one more piece of exciting news to share…
Here it is: We are super excited that Bram is joining our IT/OT Insider team 🙂
Or, as Bram himself puts it:
“Over the past year, I’ve been following IT/OT Insider closely, reading the insights shared here, and even discussing them with David and Willem at various conferences. What struck me most was how much the day-to-day experiences shared by them resonated with what I’ve encountered in my own journey.
Despite not knowing each other for that long, I’ve found that we have so many common points to talk about. That’s truly fascinating and what motivates me to join this platform. Over the last 10 to 12 years, I’ve dealt with many challenges around effective IT/OT cooperation—bringing different teams together, and navigating the complexities of people, processes, technology, and data.
When I talk with other practitioners, it’s clear we’re all struggling with very similar issues. I’ve often wondered if there’s a magical formula or methodology that can make us more successful in these transformations. While I’m realistic enough to know there’s probably no silver bullet, I do believe that by sharing our experiences and being open to learning from each other, we can get closer to finding better ways of doing things.
That’s why I’m so excited to join IT/OT Insider as a co-author. I see it as a fantastic platform to share our experiences, learn from one another, and build a stronger community within digital manufacturing. Whether it’s talking about mistakes or celebrating successes, I’m eager to contribute and engage with this incredible community.”
Welcome to the team, Bram !
Make sure to subscribe to receive or weekly in-depth articles, expert interviews, and insights. Next week, we will start a new series titled: “Unlocking Success in Digital Transformation”, especially focused on the implementation of Manufacturing Execution System (MES) projects. 🎉
Subscribe today! Don’t miss out on our new series “Unlocking Success in Digital Transformation“ by Bram, David and Willem
After nearly a year of delving into the intricacies of IT/OT convergence, it's time to shift gears and step into the real world where theory meets practice. Introducing our new series, "Idea to Shop Floor: How companies are figuring out IT/OT Convergence," where we'll be showcasing real-life case studies from companies that are at the forefront of digital transformation. These stories will highlight the challenges, triumphs, and lessons learned from businesses that are successfully (or not) integrating IT and OT, providing invaluable insights and inspiration for your own journey.
In this podcast David talks to Sophie Van Nevel. She is the Global IT Lead for Strategy and Governance and also Data and Analytics at Bekaert.
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Established in 1880, Bekaert is a global leader in steel wire transformation and coating technologies. You can find their steel products in various applications: Champagne cork wire, fishhook wire, steel cord inside tires, concrete reinforcement, very specialized applications in renewable energy, fencing and many others.
At Bekaert, you will find various types of industrial processes, one of them is cold drawn steel wire. Cold-drawing changes the steel's shape and size by pulling the material through a carbide die or turks head. Often, steel will go through cold-rolling first and then cold-drawing to enhance its properties for better performance.
Obviously, minimizing energy consumption while increasing the reliability/uptime of the production lines is extremely important for Bekaert. This is where data and Sophie’s team comes into play!
“The basic process is drawing the wire into a smaller diameter, then adding coatings or bundling wires together to create new material properties. This intricate process requires precise measurements and adjustments, making sensor data critical. Sensor data quality is essential to ensure we meet the desired parameters throughout the production process,” Sophie explains.
Building Digital Products
Sophie's team is responsible for creating digital products that leverage data analytics to optimize production processes. This includes using dashboards to monitor energy consumption and employing AI models to refine product quality. “We work closely with our business teams to drive intelligent processes, aiming to optimize our production with the help of technology and data,” Sophie explains. One of their innovative goals is to provide sensor data as a service to their customers, enhancing transparency and collaboration.
The Role of Data Governance
Data governance, often seen as a theoretical concept, is vital for managing both transactional and sensor data. Sophie emphasizes the importance of integrating data governance into everyday practices. “We’ve set up roles like data stewards and custodians, and provide training to ensure everyone understands their role in the data delivery value chain,” she says. This approach ensures high data quality and consistency, which are crucial for generating reliable insights and driving business value.
Case Study: Energy Management
A prime example of Bekaert’s data-driven approach is their energy management program. The company installed energy meters in their plants to monitor and reduce energy consumption, aligning with their sustainability goals. “We started by reporting the data from the meters, but soon realized the need for better accuracy,” Sophie recalls. By analyzing discrepancies between machines and understanding the underlying causes, such as temperature changes or data drift, Bekaert was able to develop predictive models to optimize energy use.
Cross-Team Collaboration
At Bekaert, the convergence of IT and OT is achieved through cross-team collaboration. “We bring together IT, business, and engineering teams to solve specific cases, focusing on driving end-to-end value,” Sophie explains. This collaborative approach leverages diverse expertise to tackle complex challenges, such as optimizing energy consumption, and ensures that solutions are practical and effective.
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From Services to Manufacturing
Transitioning from a service-oriented organization to a manufacturing environment presented unique challenges for Sophie. “In banking, it’s more about services, whereas at Bekaert, the impact of data actions is very concrete and immediate,” she notes. This tangible impact underscores the importance of effective change management, particularly when dealing with existing assets and technology that may not be digital-native. “We focus on data literacy and involve people in the journey to ensure they see the value of their contributions,” Sophie adds.
Scaling and Sustainability
Scaling digital initiatives from pilot projects to full-scale implementations is a critical aspect of Bekaert’s strategy. Sophie outlines their governance approach, which assesses the value and applicability of pilots across different plants. “Not every plant or product is the same, so we define criteria to determine whether we can scale a digital product,” she explains. This method ensures resources are allocated to initiatives with the highest potential impact while discontinuing those that do not deliver expected results.
The Future of AI and Data at Bekaert
Looking ahead, Sophie is optimistic about the role of AI and data in driving business value. “We hope to continue leveraging AI and data to create significant business value. Data quality and governance will remain crucial as we develop more advanced AI models,” she asserts. The foundation of robust data practices will enable Bekaert to harness the full potential of digital technologies, ensuring sustainable growth and innovation. Bekaert's journey exemplifies how IT/OT convergence can transform traditional manufacturing processes through the strategic use of data and collaboration.
As we continue this series, we’ll explore more real-world stories to inspire and guide your digital transformation efforts. Stay tuned for more insights from industry leaders who are turning theory into practice.
Find Sophie on LinkedIn.
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Welcome back to the IT/OT Insider Podcast, Today, we have a special guest, Dr. Amir Cahn, CEO of the Smart Water Networks Forum (SWAN). Dr. Cahn brings a wealth of knowledge and experience in leveraging data-driven technologies to transform water, wastewater and stormwater networks worldwide.
The SWAN (Smart Water Networks) Forum is a global hub for industry experts, innovators, and thought leaders dedicated to the digital transformation of the water sector. SWAN's mission is to accelerate the adoption of data-driven solutions to improve the efficiency, sustainability, and resilience of water networks worldwide. They unites a diverse range of stakeholders, including water utilities, engineering firms, technology companies, startups, investors, and academics, fostering collaboration and innovation across the water sector.
Understanding Data-as-a-Service (DaaS)
I was particularly interested in learning more about Data-as-a-Service (DaaS), a transformative model for water utilities. Unlike traditional methods where utilities manage their hardware and their data, DaaS shifts the responsibility to a service provider, who handles data generation, transmission, and analytics. This model allows utilities to focus on outcomes rather than infrastructure management.
"Data-as-a-Service is about shifting the risk and responsibility from the utility to the service provider. This way, utilities can decide whether they want just the data, a summary report, or predictive analytics," explains Dr. Cahn.
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The Services Staircase
We also talked about the Services Staircase, a framework that outlines the progressive stages utilities can follow to enhance their data management capabilities. There are three different types of service levels: base (product), intermediate (service), and advanced (capability). This structured approach helps utilities gradually improve their data capabilities, ensuring a sustainable and scalable transformation. By following the Services Staircase, utilities can systematically build their expertise and infrastructure, leading to smarter, more efficient water management practices.
Real-World Examples of DaaS Implementations
Gonzales, Louisiana: Enhancing Service Quality with Smart Metering
In Gonzales, Louisiana, a small utility faced significant budget constraints that limited its ability to upgrade its infrastructure. By adopting a smart metering DaaS model, the utility was able to implement advanced metering infrastructure without the need for substantial upfront capital. The DaaS provider handled the data generation, transmission, and analytics, delivering actionable insights directly to the utility. This approach allowed the utility to improve billing accuracy and efficiency, while simultaneously enhancing service quality. As a result, Gonzales saw a reduction in water losses, improved customer satisfaction, and better resource management, demonstrating the tangible benefits of DaaS in a cost-effective manner.
Jerusalem: Reducing Industrial Pollution through Data-Driven Monitoring
In Jerusalem, the city's water utility faced challenges in monitoring and managing industrial pollution, which posed significant environmental and public health risks. By partnering with a DaaS provider, the utility was able to implement a comprehensive monitoring system that continuously collected and analyzed data from various industrial sites. This system provided real-time alerts and predictive analytics, enabling the utility to identify pollution sources and respond promptly to potential issues. The DaaS model not only improved the utility's ability to manage industrial pollution but also facilitated compliance with environmental regulations. This proactive approach led to a significant reduction in pollution incidents, showcasing how DaaS can drive environmental improvements and operational efficiency in urban water management.
The Future of Water Management
As we look to the future, Dr. Cahn envisions increased collaboration between utilities, technology providers, and other sectors. This collaborative approach is essential for addressing pressing challenges like climate change and resource management. Dr. Cahn encourages utilities to embrace DaaS and other innovative models to enhance their operations and sustainability.
"We're at a pivot point where water management needs innovative solutions more than ever. By working together, we can advance the sector and address global challenges."
Join the 350+ members of the SWAN Network
To learn more about DaaS and other innovative water management solutions, visit the SWAN Forum's website. Now is a great time to get involved, as SWAN is offering a 10% discount on membership until July 30th. Join SWAN's global community to share insights, collaborate on projects, and drive the future of water management.
Resources
Find Dr. Amir Cahn on LinkedIn: https://www.linkedin.com/in/amir-cahn/ Download the free DaaS Playbook: https://swan-forum.com/publications/swan-daas-playbook/Become a SWAN member: https://swan-forum.com/join/
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In this episode of the IT/OT Insider podcast, David sat down with Toni Manzano, a veteran in the pharmaceutical industry and co-founder and Chief Scientific Officer at Aizon. We delve into how IT/OT convergence concepts can be applied to the pharmaceutical industry, an area where precision, regulation, and innovation intersect in complex ways.
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The life sciences industry, encompassing sectors like pharmaceuticals, biotechnology, and medical devices, has an impact on all of us. They are pivotal in advancing global health by innovating and producing therapies, diagnostics, and treatments that improve and save lives. This industry represents a significant portion of the global economy, with the pharmaceutical sector alone generating approximately $1.6 trillion in global revenue in 2023.
Let’s delve into this super interesting sector and discover how digital solutions are transforming the way medicines are developed and produced!
From Astrophysics to Pharma
Toni began by sharing his intriguing transition from teaching astrophysics to spearheading software innovation in the highly regulated pharmaceutical industry. He reflected on his contributions to the development of Laboratory Information Management Systems (LIMS) and Manufacturing Execution Systems (MES). "Twenty years ago, LIMS and MES were something ‘wow’, and today it's still ‘wow’," Toni noted, emphasizing the continuous relevance of these systems, but also the slow adaptation.
AI in Pharma: Beyond the Buzz
We discussed the current hype surrounding artificial intelligence (AI) in pharma. Toni describes AI as a "cocktail" with power computing, algorithms, maths, and crucially for pharma, quality data as ingredients. "The secret sauce of this cocktail in pharma is the quality data. Without quality data, you cannot bring AI to fruition," Toni explained.
Toni shared a story about handling human plasma. Unlike other raw materials where quality non-compliance could simply lead to a batch rejection, human plasma represents a unique and invaluable resource that cannot be discarded. Here, Toni illustrated how AI can play a critical role. He described a scenario where, despite the high quality of operations, fluctuations in the quality of plasma can affect the final product. This complexity is where AI excels—by integrating vast amounts of operational and quality data to optimize processes that traditional methods cannot. This example not only underscores the complexity inherent in pharma manufacturing but also highlights the transformative potential of AI in managing such complexities, ensuring that every batch of product meets quality standards without wasting precious resources.
Challenges and Conservatism
Addressing the conservatism in the pharmaceutical industry, Toni pointed out the paradox of massive profitability discouraging rapid innovation. "If the industry is earning a lot of money with the status quo, there's less perceived need to evolve," he said. This highlights a significant barrier to adopting new technologies in an environment where traditional methods continue to yield high returns.
Regulatory Insights and the Path Forward
We also talked about the critical role of regulations in pharma, which ensure the safety, quality, and efficacy of medical products. Toni illuminated the evolving nature of regulatory frameworks which are increasingly accommodating modern computational methods, including AI. "Regulatory bodies are promoting innovation and the modernization of the pharmaceutical industry," Toni stated, suggesting a gradual but inevitable shift towards more advanced, data-driven manufacturing processes.
Outlook
As we wrapped up our conversation, Toni expressed optimism about the future of IT/OT convergence in pharma, driven by societal demands for rapid innovation and a generational shift in executive leadership towards tech-savviness. "Young executives understand and live with digital technology daily. It's not something strange; it's necessary," he remarked.
Find Toni on LinkedIn: https://www.linkedin.com/in/tonimanzano/Interested in finding out more about Aizon? Visit https://www.aizon.ai/
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Welcome to a special episode of the IT/OT Insider Podcast! Today is the first time we, David and Willem, are interviewing each other instead of hosting a guest. As co-authors of this blog and both working in the field of industrial digitalization, we thought it would be fun to share our own stories. In this episode, we'll delve into our backgrounds, our journeys in IT and OT, and our joint presentation at the Enterprise Technology Leadership Summit Europe last week.
This conference was organized by IT Revolution, who published many of our favorite books including The Phoenix Project, Team Topologies, Sooner Safer Happier, DevOps Handbook and others. We were introduced by Gene Kim who shared that he too had witnessed the IT-OT divide in critical infrastructure. Our presentation is available on their website, you need to create a free trial account to get access or you can listen to this podcast ;)
The Paradox of Digital Solutions
We discussed the paradox that despite the promising potential of digital solutions, their implementation often fails when subjected to the realities of diverse and incompatible systems across manufacturing sites. "Billions have been poured into digitization, yet the average shop floor whispers tales of the 1980s," we noted during our talk. This mismatch between investment and outcome highlights the difficulty in scaling digital projects beyond pilot 'lighthouse' plants.
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The Socio-Technical Ecosystem
Our conversation emphasized that IT/OT integration is not merely a technical challenge but a socio-technical endeavor that involves people, processes, and entrenched cultural norms. We pointed out that the disparity between IT and OT spans not only systems but also cultures, with IT's rapid innovation cycle clashing with OT's priority for reliability and gradual evolution.
New!! Because we already have 30+ articles, we have now created 3 summary pages containing our most influential articles on Organization, Change, and Technology. Make sure to check them out!
Challenges of Top-Down Directives
We critiqued the common practice of dictating IT/OT convergence from the upper echelons of management, a top-down approach that often underestimates the intricate dynamics of integration. "Converging two organizations is not a management decision," we explained, emphasizing that these initiatives should consider the socio-technical aspects where both IT and OT bring unique strengths and cultural perspectives.
Anti-Patterns in Convergence
Highlighting the pitfalls in current convergence practices, we talked about how mismanaged efforts can lead to increased divergence instead of integration. "When done wrong, efforts to converge will quickly lead to quite the opposite: divergence," we observed. We discussed how organizational comfort zones and resistance to change can exacerbate friction and mistrust between IT and OT departments.
Our Vision for Collaboration
Looking forward, we advocate for fostering a culture of collaboration where IT and OT not only coexist but actively cooperate, leveraging each other's strengths. We propose building a bridge over the existing differences to create systems and processes that are IT-enhanced yet respect the operational imperatives of OT.
Moving Toward Effective Integration
Our discussion concludes with a call to action for organizations to rethink their approach to IT/OT integration. We emphasize the need for adaptive strategies that recognize the complexities of modern industrial environments and promote a balanced integration of technology and operational practice. By focusing on collaborative approaches and understanding each domain's unique contributions, companies can more effectively navigate the challenges of digital transformation in manufacturing.
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In this latest episode of the IT/OT Insider podcast, David welcomed Jan Meskens, a seasoned data consultant with a rich background in data management and academia. The discussion provided deep insights into the evolving landscape of industrial data management, emphasizing the critical need for bridging the gap between Information Technology (IT) and Operational Technology (OT) to leverage the full potential of data in Industry 4.0.
User-Centric Data Management
“In the world of data, usability is often an afterthought”
Jan, who started his career in user experience design before transitioning into data consultancy, shared his unique perspective on making data systems as user-friendly as possible. “In the world of data, usability is often an afterthought,” Meskens explained. He highlighted the common industry challenge where crucial data is frequently trapped within complex systems like massive Excel spreadsheets, understandable only by their creators.
The Two-Pronged Approach to Data Projects: Bottom-up + Top-down
The conversation shifted towards how organizations initiate and drive data projects. Meskens outlined a dual approach seen in most successful enterprises: a bottom-up initiative driven by specific teams who see value in data and a visionary top-down strategy led by leaders who understand the broader benefits of data integration. “Both directions are crucial for cultivating a data-driven culture within any organization,” Meskens noted.
Proof of Concept: Learning or a Pitfall?
“The real success stories are those where PoCs serve as a stepping stone to full-scale implementation and integration.”
A significant focus was on the role of proofs of concept (PoCs) in data management projects. Meskens emphasized that PoCs should be learning instruments rather than final solutions. “The real success stories are those where PoCs serve as a stepping stone to full-scale implementation and integration,” he stated. This approach mitigates the risk of what he humorously refers to as "PoC purgatory," where projects perpetually cycle through the proof-of-concept phase without reaching full deployment.
Integrating IT and OT Perspectives
David and Jan also delved into the cultural and procedural nuances that differentiate IT and OT. Meskens pointed out that while IT projects can often pivot and adapt rapidly, operational technology demands a more methodical and safety-oriented approach due to the physical nature of the machinery and processes involved. This difference often leads to a clash of expectations and methodologies when managing data projects across IT and OT boundaries.
Facilitating Change through Sketches
Highlighting an innovative communication method, Meskens shared how sketching complex ideas has helped bridge the communication gap between various stakeholders in data projects. “Sketches open a dialogue—they are simple yet powerful tools for visualization and feedback,” he remarked, noting how this method helps stakeholders engage more constructively in project discussions.
Book Recommendations
Meskens recommended two influential books for those interested in deepening their understanding of data management and project dynamics: "The Phoenix Project" and "Data Management at Scale." These readings, he believes, provide foundational knowledge and advanced insights into effectively managing and scaling data projects.
Insights for the Future
The podcast wrapped up with a reflective discussion on the future of IT/OT convergence, with both David and Jan advocating for more integrated and cooperative approaches to managing industrial digital transformation.
This episode of the IT/OT Insider not only shed light on the technical and cultural facets of data management but also underscored the importance of strategic and human-centric approaches to digital transformation in the manufacturing sector. As industries worldwide continue to evolve, the principles discussed by David and Jan will undoubtedly influence future innovations and integrations across the IT-OT spectrum.
Book giveaway!
We are giving away a copy of The Phoenix Project ! Details can be found at the end of the episode. Send your answers to [email protected] or DM me on LinkedIn.
About our Guest
Find Jan on LinkedIn: https://www.linkedin.com/in/janmeskens/ or via his website https://sievax.be. Make sure to subscribe to his blog on Medium: https://medium.com/@meskensjan
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In the heart of the digital revolution, companies across the globe are recognizing the need to adapt and transform. The industrial sector is no exception. David had the privilege of speaking with Mike Hughes, Zone President at Schneider Electric for the Nordics and Baltic region, who has been at the forefront of this transformation. With years of experience and a career that spans various regions, including the UK and Ireland, Mike shared valuable insights on the evolving landscape of digitalization in manufacturing.
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“Digitalization isn't a new concept; it's been on the corporate agenda for years. However, the urgency to adopt digital strategies has significantly increased.”
The Why and How of Digitalization
David: “Why should companies talk about digital transformation today?”
Mike Hughes: “Digitalization is not a new concept; it's been part of the dialogue for many years. However, what's changed is the urgency and the necessity for it. The advancements in sensor technology over the past decade, coupled with exponential growth in computing power, particularly through AI and companies like NVIDIA, have propelled us into a new era. It's not just about being able to gather data anymore; it's about analyzing and extracting valuable insights from that data to drive significant productivity gains.”
A compelling aspect of our conversation centered around the realization that digitalization transcends IT. This transition is not just about enhancing IT infrastructure but transforming industrial processes to unlock new value.
Key Drivers of Change
From the introduction of SCADA systems to the integration of industrial software, the landscape has changed. This evolution is fueled by the need for data-driven insights to optimize processes and reduce inefficiencies.
Mike: “Over the past five years, the shift has been remarkable. Historically, IT and OT have operated in silos, but we're seeing those barriers come down. The realization that the largest potential for value lies not within office productivity tools but within industrial processes has been pivotal. When you combine digital sensor technology with AI capabilities, you create a powerful tool for unlocking efficiency on the shop floor. This convergence of IT and OT is vital for leveraging data across the entire manufacturing ecosystem.”
Sustainability + Digitalization
Another key theme that emerged was the role of digitalization in promoting sustainability.
Mike: “Sustainability and digitalization go hand in hand. As regulations around sustainability tighten, companies are compelled to not only track but actively manage their environmental impact. Digital tools allow for better energy management, supply chain transparency, and overall resource efficiency. It's a win-win scenario where companies can achieve sustainability targets while enhancing operational efficiency. [..] One of the most important lessons is that digital transformation goes beyond technology. It's fundamentally about rethinking processes and systems to unlock new value. Another critical aspect is the blurring lines between IT and OT, enabling seamless data flow and analytics. Lastly, sustainability can serve as a powerful catalyst for digital adoption, driving companies towards practices that are not only efficient but also environmentally friendly.”
Looking forward: what does the future hold?
Mike: “The future is incredibly promising. As we refine our approaches to integrating IT and OT and as technologies continue to advance, I believe we'll see even more innovative applications of digital tools in manufacturing. Sustainability will remain a key focus, driving further innovation in how we manage resources and reduce environmental impact. The journey of digitalization is ongoing, and it will continue to shape the manufacturing sector in profound ways.”
Lessons Learned
Reflecting on our conversation, several lessons stand out:
* Digitalization is a strategic imperative, not just a technological upgrade. It's about rethinking processes and systems to unlock new value.
* The integration of IT and OT is a game-changer, enabling seamless data flow and analytics across the manufacturing value chain.
* Sustainability can be a powerful catalyst for digital transformation, driving companies to adopt practices that are not only efficient but also environmentally friendly.
A big thank you to Mike, the Schneider Electric Marketing & Communication team and AVEVA Select Scandinavia !
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Welcome to today’s episode, where we dive deep into the world of IT/OT convergence with Shiv Trisal, the global manufacturing, transportation, and energy market leader at Databricks. Join us as we explore the transformative power of data across industries and discuss the future of industrial digital transformation.
Timestamps:
[00:00] Meet Shiv Trisal
[00:33] Databricks Explained
[01:36] IT vs. OT Data
[02:31] Shiv's Journey
[05:26] Industry Comparisons
[05:34] Greenfield vs. Brownfield
[10:16] Jargon Challenges
[10:20] Bridging Gaps
[17:41] Data Convergence
[22:56] Cloud Transformation
[29:32] Episode Wrap-Up
Key Takeaways:
Databricks is at the forefront of empowering organizations with data intelligence, providing tools for companies to harness specific insights from their data, leveraging both IT and operational technology (OT) information.
The convergence of IT and OT data is crucial for the future of industrial digital transformation, requiring a unified approach to data analysis and utilization.
Shiv Trisal highlights the significant shift in data utilization and perception during his transition from the aviation industry to Databricks, emphasizing the value of AI and machine learning in discovering patterns and insights.
The conversation underscores the challenges and opportunities in IT/OT convergence, emphasizing the need for domain expertise, mutual understanding, and the alignment of perspectives between IT and OT domains.
The future of IT/OT integration is collaborative, focusing on creating a shared data foundation and maintaining data quality to drive actionable insights and outcomes.
Resources and Links:
Databricks Official Website: https://www.databricks.com/
AVEVA Partnership Announcement: https://www.aveva.com/en/about/news/press-releases/2024/aveva-and-databricks-forge-strategic-collaboration-to-accelerate-industrial-ai-outcomes-and-enable-a-connected-industrial-ecosystem/
Shiv Trisal’s LinkedIn Profile: https://www.linkedin.com/in/shiv-trisal/
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