2025-10-01
In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own hands-on performance testing, reveals an industry paradox: developers want speed, but enterprise buyers demand security, compliance and deployment control. This disconnect is reshaping the market, driving adoption patterns that contradict mainstream performance benchmarks.
The most significant finding is that compliance requirements systematically eliminate the fastest AI coding tools from consideration in enterprises. GitHub Copilot dominates enterprise adoption (82% among large organizations) while Discover Copy
2025-10-07
For many enterprises, there continue to be barriers to fully adopting and benefiting from agentic AI.IBM is betting the blocker isn't building AI agents but governing them in production.At its Te [...]
2025-10-02
Salesforce Inc. is expanding its artificial intelligence platform with new data management and governance capabilities, aiming to address what the company says is a crisis in enterprise AI adoption wh [...]
2025-08-13
One thing I need to make clear right from the start: this is a review of Norton VPN (formerly Norton Secure VPN, and briefly Norton Ultra VPN) as a standalone app, not of the VPN feature in the Norton [...]
2025-08-14
This past spring, Anthropic introduced learning mode, a feature that changed Claude's interaction style. When enabled, the chatbot would, following a question, try to guide the user to their own [...]