Artificial Intelligence | News, analysis, features, how-tos, and videos
Large language models and small language models will play different roles in ensuring that we deliver valuable generative AI applications at cost-effective levels.
Data show AI assistants make it significantly faster and easier to develop software, spurring companies to tackle more software projects—and hire more developers.
Intelligent Data Management Cloud (IDMC) is getting a host of new AI features, although some of them are still only in preview.
Automated RAG, PII sanitization, and LLM orchestration in Kong AI Gateway 3.10 help teams simplify, scale, and secure their AI development workflows.
In this issue: We explore the intersection of AI and analytics. Data analytics only gets more complex. And its growing use for artificial intelligence applications brings a new set of considerations and strategies for IT and business leaders.
A strong AI governance defense does more than reduce risks: it drives the offense, and the offense is what delivers value.
The hyperscalers are reeling from the slower-than-expected growth of generative AI on their platforms, and many are now placing bets on agentic AI. I have some bad news.
By automating routine tasks and reducing friction, AI-powered IDEs allow developers to spend more time developing. Here’s what they add to the traditional IDE feature set.
Gemini 2.5 Pro Experimental is Google’s most advanced model for coding, math, science, and complex tasks, Google said.
When training an LLM has enormous costs and environmental impact, it’s worth asking what we gain by creating another one—especially if it isn’t that different from other models.