At the edge Models are built on the cloud and applied at the edge. Moving data from inspection/metrology systems to the cloud to make a decision to execute back at the system is simply impractical.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Database administrator has been a long-standing and highly in-demand job. But technology, as ...

SAN FRANCISCO--(BUSINESS WIRE)--Trifacta, the global leader in data preparation, today announced a major expansion to its platform to deliver the industry’s first data engineering cloud. In keeping ...

Vercel has released Vercel Drains, a system for exporting observability data from its platform into external services. The ...

Databricks edged out the "Big 3" cloud giants in the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms, which itself mirrors the industry shift to agentic AI, emphasizing ...

Enterprise software giant SAP SE today debuted the Business Data Cloud, a new data solution that unifies all SAP data and third-party data throughout an organization to provide a foundation for ...

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 ...

A startup called TensorStax says it’s looking to bring artificial intelligence-powered automation to the unyielding world of data engineering after raising $5 million in seed funding. Today’s round ...

Tigris has raised $25 million to expand its growing network of localized data storage centers — the storage layer for ...