Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. On Tuesday, researchers at Stanford and Yale revealed something that AI companies ...

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 ...

Indians are embracing delivery apps, placing millions of orders every day for everything from biryani to cell phones. Swiggy, one of India’s biggest on-demand convenience platforms, received 923 ...

Warehouse-native access is emerging as the fastest, safest path to unified customer intelligence. It isn't without its challenges. As customer data platforms (CDPs) continue to evolve, zero-copy ...

DevRev developed a connector that integrates data residing in Microsoft OneLake with DevRev’s customer and product data This integration will enable enterprises to unify their data across applications ...

Data fabric acts as a flexible, unified architecture that connects diverse data sources, improving data quality and contextualization. Implementing a data fabric can significantly reduce unplanned ...

It has been just over a year since Cisco began the process of integrating security and observability giant Splunk into its fold, a move that has raised questions on whether innovation at the ...

Drive in almost any direction from almost any American city, and soon enough you’ll arrive at a data center—a giant white box rising from graded earth, flanked by generators and fenced like a prison ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

As the volume, velocity, and variety of data continue to accelerate, developers are facing a critical shift: data is no longer just stored and queried--it's constantly on the move. From traditional ...

If poor quality, incomplete, biased, or sensitive data is fed into AI models, the results will be equally flawed, leading to sensitive data leaks and inaccurate predictions—both of which create ...