Data Quality Management For The Whole Team Wi...

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 ...  Show more

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 ...  Show more

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 ...

YOU want to break into data analytics but not sure where to start? This interactive choose-your-own-adventure episode will help you! Get ready to make real-life decisions that will shape your data career. Play now and see where your choices take you.💌 Join 10k+ aspiring data ana ...  Show more

Whether you prefer the term data-driven, or data-informed, or data-dazzled, it doesn't matter—today's tech cannot survive without high quality data sets AND the tools to use them effectively. But we also can't afford to think about data as the responsibility of ...

There is an impossible choice most organizations face. Companies building modern AI face a brutal, binary-feeling decision: either ship a privacy-first model that “kinda low key sucks,” or ship a high-performing model that likely exposes sensitive personal data. Luckily, there's ...  Show more