

💼 AI in the Enterprise with Jeremie Dreyfuss
Oct 31, 2024
Jeremie Dreyfuss, Head of AI Research and Development at Intel, shares his expertise on scaling machine learning solutions and AI infrastructure. He delves into the challenges of data collection, emphasizing the need for robust systems in high-stakes environments. The discussion touches on deploying ML models and the transformative impact of large language models. Jeremie also explores strategies for effective AI development, highlighting the importance of balancing user needs with sophisticated algorithms. His insights illuminate the path forward for enterprises navigating the AI landscape.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 3min
Navigating Model Deployment and Data Challenges in Machine Learning
03:17 • 3min
Optimizing Software Testing Strategies
06:32 • 6min
Navigating Machine Learning Deployment Challenges
12:54 • 7min
The Evolution of Data Science with LLMs
19:38 • 9min
Navigating Customer-Centric AI Development
28:26 • 22min