AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

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 ...

In this age of ‘always-on, anytime, anywhere,’ human attention spans have decreased drastically, from about 12 seconds in the early 2000s to about 8 seconds in 2018 for the average internet user. That ...

Forbes contributors publish independent expert analyses and insights. Sho Dewan is a career expert who covers work, top jobs, and business. AI isn’t just for tech experts anymore. With the right tools ...

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 ...

This week, an exercise in separating truth from hype. I am old enough to remember when generative AI (genAI) was the best thing since sliced bread — destined to solve any and all problems. But CIO.com ...

Almost two-thirds (63%) of organizations are unsure they have the right data management practices for AI, according to research firm Gartner. This lack of readiness has an impact: the analyst predicts ...