Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

The introduction of more capable models by frontier AI firms such as Anthropic and OpenAI poses a real threat to seizing more ...

Dashboards are great for steady states, but they buckle during real crises. We need a data layer that handles messy, ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

With an overflowing war chest from its $5 billion raise that closed last month (not to mention billions in revenue), Databricks is acquiring. The company, best known for its cloud data analytics ...

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The Department of Homeland Security is preparing a blanket purchase agreement to ensure the continued operation of its data lakehouse environment and intelligence platform. Sign up for the Potomac ...

Enterprise clients can now leverage Growth Protocol's reasoning engine directly within Databricks via an SDK, without moving any data. Growth Protocol is an enterprise reasoning platform that uses ...

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# MAGIC - Demonstrate the similarities of the pandas API on Spark API with the pandas API # MAGIC - Understand the differences in syntax for the same DataFrame operations in pandas API on Spark vs ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.