EP 326: How Data Will Be AI’s Bottleneck

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Yeah, AI is cool. But have you tried AI WITH good data?! If you're running into AI implementation bottlenecks, it could be your data to blame. Matthijs de Vries, Founder & CEO of Nuklai, joins us to tackle AI and data.

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Related Episodes: Ep 268: AI’s Data-Driven Decision Paradox
Ep 145: NVIDIA Leader Talks GenAI + Data: Unlocking new ways to interact with our world

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Topics Covered in This Episode:
1. Data and Large Language Models (LLMs)
2. Practical Data Strategies
3. Data Quality Issues

Timestamps:
01:35 Daily AI news
05:00 About Matthijs and Nuklai
06:48 Data bottleneck hinders implementation of generative AI.
10:26 Start with a goal, leverage data effectively.
13:20 Collaborating on data is costly, causing limitations.
15:46 Standardize data access to improve overall efficiency.
18:46 Discussion on the use of synthetic data.
23:13 Challenges for small AI projects due to funding.
27:33 Crowdsourcing data important for future developments.
28:38 Data used to improve bread quality. Multiple purposes.

Keywords:
Everyday AI, Jordan Wilson, generative AI, data bottleneck, OpenAI, GPT 4, SAM 2, video segmentation, Meta, AI Studio, chatbot creation, llama 3.1 model, Matt deFries, Nuclei, structured data, unstructured data, Large Language Models (LLMs), AI implementation, data in silos, data consortiums, data pipelines, data collection, memory efficiency, synthetic data, crowdsourcing data, data quality, human-generated data, collaboration, data science, philosophy in data.

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