Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...

Data center moratoriums are the new fracking bans. Environmental nonprofits are deploying the same playbook against data centers that they have used against oil, gas, nuclear and chemical companies ...

Microsoft has acquired Osmos to bring autonomous, agentic data engineering into Microsoft Fabric. Osmos technology automates data preparation and transformation within Fabric workflows. The ...

The acquisition could help enterprises push analytics and AI projects into production faster while acting as the missing autonomy layer that connects Fabric’s recent enhancements into a coherent ...

Microsoft is acquiring AI platform Osmos to integrate autonomous "Agentic AI" workflows and automated data ingestion directly into Microsoft Fabric. Microsoft has acquired Osmos, an AI-driven data ...

Microsoft (MSFT) announced today it has acquired Osmos, an agentic artificial intelligence data engineering platform designed to simplify complex data workflows. No financial details on the ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Jan 5, 2026 at 2:28 ...

Some tech leaders are concerned that the artificial intelligence race will exhaust available land and energy. The solution might lie in orbit. Credit...Soña Lee Supported by By Eli Tan and Ryan Mac ...

The Midwest is a fast-growing hub for data centers, with companies seeking cheaper land outside of Chicagoland. Illinois' Biometric Information Privacy Act (BIPA ...

Data is called an asset, but only if you can use it. In its original form, it's not. Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates ...

Data engineering is the gritty, often unglamorous work that underpins every AI model, every dashboard, and every strategic data driven decision. For years, we treated our data lakes like giant, messy ...