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Ep 32: CEO and Founder of Pinecone Edo Liberty on Pioneering Vector Databases, Barriers to Productionalizing Models and Why What’s Happening with GPUs is Not Sustainable

Unsupervised Learning

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Diverse Applications and Efficiency of Pinecone for Vector Workloads

Explore the diverse applications of Pinecone, from AI solutions in companies like Notion and Gong to challenges of deploying AI models into production. Discuss the significance of vector databases in various industries and the importance of cost-effective solutions over expensive ones, emphasizing the need for trustworthy AI startups. Delve into preparing data for vector databases in an enterprise context, highlighting the role of ETL processes for seamless integration and transformation of structured data.

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