In this episode, Dean speaks with Jeremie Dreyfuss, Head of AI Research and Development at Intel, about the evolving role of AI in the enterprise. Jeremie shares insights into scaling machine learning solutions, the challenges of building AI infrastructure, and the future of AI-driven innovation in large organizations. Learn how enterprises are leveraging AI for efficiency, the latest advancements in AI research, and the strategies for staying competitive in a rapidly changing landscape.

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--- Timestamps: 00:00 Introduction and Overview 00:55 Challenges of Data Collection and Infrastructure 05:00 Optimizing Test Recommendations 14:42 Tips for Deploying Entire ML Pipelines 21:19 The Impact of Large Language Models (LLMs) 25:30 How to Decide About LLM Investment in the Enterprise 29:29 Evaluating Models and Using Synthetic Data 35:34 Choosing the Right Tools for ML and LLM Projects 45:21 The Beauty of Small Data in Machine Learning 48:22 Recommendations for the Audience

➡️ Jeremie Dreyfuss on LinkedIn – https://www.linkedin.com/in/jeremie-dreyfuss/

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