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SummaryIn this episode Soham Azumdar, co-founder and CEO of Wisdom.ai, talks about what “context” really means in data engineering and AI systems. He explores why context has become such an overloaded term, spanning everything from semantic layers and data catalogs to tribal know ...  Show more

Summary In this episode Yetunde Dada discusses Otto, Astronomer’s AI agent for Airflow, and the broader challenge of making agentic tooling actually useful for data engineers. She explored why generic coding assistants often fall short in data workflows, how Otto adds the missing ...  Show more

Edo Liberty (@edoliberty, Founder/CEO @Pinecone) talks about vector databases and building applications that leverage data in new and unique ways. 

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Jack Pertschuck, former Principal Engineer at Pinecone, discusses what vector databases are and why they matter for AI and search applications. He also discusses the challenges of communicating the value of this technology when the problem isn't widely understood. Key Takeaways: ...  Show more

Theo is in the interviewer’s chair for this episode as Frank Liu from Zilliz joins the show to talk about how AI and machine learning are making it possible for developers to understand and extract more value from unstructured data such as text, audio, images, video, and more. Tr ...  Show more

In this episode, I talk with Emmanuel Turlay, Founder & CEO of Sematic, about the pivotal role of AI in Machine Learning infrastructure. Emmanuel shares his expertise in designing and building platforms for Machine Learning pipelines at scale, discussing key components such as da ...  Show more