Bridging the AI–Data Gap: Collect, Curate, Se...

Summary In this episode of the Data Engineering Podcast, Aman Agarwal, creator of OpenLit, discusses the operational groundwork required to run LLM-powered applications reliably and cost-effectively. He highlights common blind spots that teams face, including opaque model behavio ...  عرض المزيد

SummaryIn this episode, Shilpa Kolhar, SVP of Product and Engineering at MongoDB, discusses using MongoDB as a unified foundation for AI-driven and agentic applications. She explains how the Application Modernization Platform (AMP) accelerates the transition from legacy relationa ...  عرض المزيد

Brian Gilmore (@BrianMGilmore, Director IoT/Emerging Technology @InfluxDB) talks about Edge and Industrial Edge Computing, as well as application and data challenges at the edge.

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CLOUD NEWS OF THE WEEK - <a href='http://bit.ly/cloudcast-cnot ...

As part of the IT Press Tour in Silicon Valley, I had the opportunity to sit down with David Flynn, CEO of Hammerspace, to explore how the company is redefining the future of enterprise data storage.

At a time when AI-driven workloads and hybrid cloud computing are push ...

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if y ...  عرض المزيد

The role of data and AI engineers is more critical than ever. With organizations collecting massive amounts of data, the challenge lies in building efficient data infrastructures that can support AI systems and deliver actionable insights. But what does it take to become a succes ...  عرض المزيد