The first is the convergence of software and data engineering disciplines. The second is the rise of generative AI, which is accelerating both technical and organizational change. The Convergence Of ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

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.

The 13% succeeding with AI platforms share one move: unifying their data on an extensible Postgres® foundation.

As AI adoption accelerates, enterprises are rethinking fragmented data architectures in favor of unified intelligence operating models.

KDNuggets, a community site for data professionals, ranked “We Don’t Need Data Scientists, We Need Data Engineers,” by Mihail Eric, a venture capitalist, researcher, and educator, as its top story of ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...

Migration to the cloud is often perceived as an exclusively technical process, but a Microsoft Certified Data Engineer, ...

OpenSecrets is a nonpartisan, nonprofit organization dedicated to tracking money in U.S. politics and its influence on elections and public policy. As the nation’s most comprehensive resource for ...