ABOUT THIS EPISODE
On episode 54 of Generationship, Rachel Chalmers sits down with Vishakha Gupta to explore the hidden infrastructure challenges behind modern AI. They unpack why multimodal data systems are still fragmented, how graph and vector approaches can be unified, and what it takes to build production-ready AI pipelines. This conversation offers a systems-level perspective on scaling AI beyond prototypes.
The post appeared first on Heavybit.
English
United States
explicit content
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OTHER EPISODES IN THIS PODCAST
In episode 50 of Generationship, Rachel Chalmers sits down with Joshua McKenty to unpack how AI-driven scams, deepfakes, and identity fraud are already reshaping our digital lives. From scam factories and nation-state actors to broken trust infrastructure, Josh explains why authenticity is the core…
On episode 52 of Generationship, Rachel Chalmers sits down with Piyush Agarwal to explore how developer behavior reveals far more about buying intent than traditional sales signals. They discuss why most dev tool GTM strategies fail, how to distinguish curiosity from real demand, and what it takes …
In episode 48 of Generationship, Rachel Chalmers speaks with Sarah Novotny. They dig into why AI models fall short of true creativity, how the tech industry drifted into extractive incentives, and what real security and accountability might look like at scale. Sarah highlights lessons from Kubernet…
On episode 51 of Generationship, Rachel Chalmers sits down with Soya Park of Akify to explore why an organization’s most valuable knowledge rarely makes it into formal systems. They discuss how leaders make excellent decisions every day without realizing it, and how AI can surface, reinforce, and s…
On episode 49 of Generationship, Rachel Chalmers sits down with Denise Koessler Gosnell and Kathryn Erickson to unpack their new book Tech Confidential. Together they explore burnout, leadership, motivation, and the surprising ways our emotional wiring shapes tech culture. It’s a candid, deeply hum…
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