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AIAW Podcast
Hyperight
184 episodes
1 week ago
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 ...
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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 ...
Show more...
Technology
Business
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E151 - AI Meets Product Growth - Tifenn Dano Kwan
AIAW Podcast
1 hour 16 minutes
7 months ago
E151 - AI Meets Product Growth - Tifenn Dano Kwan
In Episode 151 of the AIAW Podcast, we sit down with Tifenn Dano Kwan, CMO at Amplitude and former marketing leader at SAP Ariba and Dropbox, to explore the power of product-led growth, how AI is transforming digital experiences, and the role of behavioral data in shaping smarter marketing strategies. From the future of UI and onboarding to the ethical challenges of AGI, this episode is packed with insights for anyone interested in the intersection of AI, marketing, and product innovation. Tu...
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 ...