Generative AI | News, how-tos, features, reviews, and videos
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.
Adobe Experience Platform Agent Orchestrator and a suite of purpose-built customer experience agents are coming soon, Adobe said.
RamaLama makes it a snap to spin up AI models locally in containers and streamlines the path from experimentation to production.
Test-time Adaptive Optimization can be used to increase the efficiency of inexpensive models, such as Llama, the company said.
Vibe coding is a new way of coding with AI, where you guide the model only through natural language. It’s going to change everything.