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 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 ...

Modern data acquisition software helps engineers collect and analyze testing data faster. Learn how new tools are improving engineering measurement and testing.

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 ...

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

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

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 ...

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 ...

Daikin Industries has selected Outerport as its core platform for extracting structured data from complex engineering documents, drawings and diagrams. The Outerport platform has been fully deployed ...