ZoomInfo reports that 95% of enterprise AI projects fail to deliver ROI due to inadequate data infrastructure. Successful ...

Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. Despite billions invested in AI platforms, cloud infrastructure, ...

As AI helps improve efficiency and decision making across industries and organizations, almost all startups are building their own AI model. However, there’s one critical aspect that most startups ...

Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

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.

In 2025, to borrow a phrase: the AI revolution is already here; it's just not evenly distributed. While individuals are seeing productivity gains from LLMs or newer agentic systems, larger projects ...

In this special guest feature, Robin Purohit, Group President of the Enterprise Solutions Organization at BMC Software, Inc., discusses how IT and data teams can make sense of the right data that will ...

Over at InformationWeek, a profile on Ford predictive analytics group leader Michael Cavaretta reveals the main reason Big Data projects fail. The biggest difficulties have to do with expectations.