In Episode 170 of the AIAW Podcast, we’re joined by Jim Dowling, CEO of Hopsworks, co-creator of featurestore.org, and author of the upcoming O’Reilly book Building Machine Learning Systems with a Feature Store. Known as "Mr. Feature Store," Jim walks us through the evolution of AI infrastructure. From traditional batch learning to real-time, agentic workflows powered by vector databases, RAG, and LLMs. We discuss how feature stores serve as the memory layer of AI agents, enabling contextual ...
All content for AIAW Podcast is the property of Hyperight and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
In Episode 170 of the AIAW Podcast, we’re joined by Jim Dowling, CEO of Hopsworks, co-creator of featurestore.org, and author of the upcoming O’Reilly book Building Machine Learning Systems with a Feature Store. Known as "Mr. Feature Store," Jim walks us through the evolution of AI infrastructure. From traditional batch learning to real-time, agentic workflows powered by vector databases, RAG, and LLMs. We discuss how feature stores serve as the memory layer of AI agents, enabling contextual ...
E152 - Empowering Human Autonomy Through Personal Digital Twins - Ingo Paas
AIAW Podcast
2 hours 31 minutes
8 months ago
E152 - Empowering Human Autonomy Through Personal Digital Twins - Ingo Paas
In Episode 152 of the AIAW Podcast, we delve into the dynamic intersection of digital transformation, innovation, and AI with award-winning leader, author, and CIO at Green Cargo, Ingo Paas. Drawing on a career that spans retail, sports, and logistics, Ingo shares strategies for building Digital Composable Enterprises, bridging legacy systems with cutting-edge AI, and harnessing horizontal and vertical innovation for holistic growth. He also offers insights into scalable investment approaches...
AIAW Podcast
In Episode 170 of the AIAW Podcast, we’re joined by Jim Dowling, CEO of Hopsworks, co-creator of featurestore.org, and author of the upcoming O’Reilly book Building Machine Learning Systems with a Feature Store. Known as "Mr. Feature Store," Jim walks us through the evolution of AI infrastructure. From traditional batch learning to real-time, agentic workflows powered by vector databases, RAG, and LLMs. We discuss how feature stores serve as the memory layer of AI agents, enabling contextual ...
