Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery

Collecting And Retaining Contextual Metadata ...

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Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes

SummaryIn this episode Robert Nishihara, co-founder of Anyscale and co-creator of Ray, talks about maximizing hardware utilization for AI and data-intensive workloads. He explores Ray’s evolution alongside Kubernetes and PyTorch, and why consolidation at these layers has enabled ...  Show more

The AI-First Data Engineer: 10–50x Productivity and What Changes Next

Summary In this episode, I sit down with Gleb Mezhanskiy, CEO and co-founder of Datafold, to explore how agentic AI is reshaping data engineering. We unpack the leap from chat-assisted coding to truly agentic workflows where AI not only writes SQL and dbt models but also executes ...  Show more

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