Most companies still approach AI like a software rollout, when in reality it behaves more like an organizational stress test.

Forbes contributors publish independent expert analyses and insights. Andrea Hill is a multi-industry CEO covering business & technology. Despite $30–40 billion in enterprise investment in generative ...

Hundreds of agents tried building a browser for a week, producing 1M lines of code, 1,000's of files yet missed web standards ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

AI coding tools are stripping cost and friction out of software development, turning tasks that once took teams weeks into ...

The answer is simple. Start with boring. Boring projects make money. Clients who address these three elements are more likely ...

IT leaders rushing ahead on generative AI projects often don’t realize the technical junk they might inadvertently be creating. Gunslinging IT leaders with high generative AI (genAI) experiment ...

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...

Memory-safety exploits account for 70 percent of vulnerabilities ...

Artificial intelligence is powerful, but are businesses using it the wrong way? In this episode of Today in Tech, host Keith Shaw sits down with Alan Trefler, Founder and CEO of Pega, to discuss why ...