Forbes contributors publish independent expert analyses and insights. Aleksandra Bal covers indirect tax and technology developments. The promise of AI in the world of tax is compelling: streamlined ...

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.

UB researchers are tapping the incredible power of Empire AI. The $400 million statewide consortium — which Gov. Kathy Hochul announced last year, including its supercomputing center located at UB, a ...

Artificial intelligence (AI) continues to shape the future of business, and 2024 provided valuable insights into leveraging AI for long-term success. From small wins to strategic scaling, these key ...

Every year during Adobe Summit, the company gives the public a sneak peek into its latest experimental innovations, with 40% of them historically making it to actual rollout. In the past, some of ...

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 ...

AI in healthcare has reached a critical inflection point. Across the industry, organizations are investing heavily in artificial intelligence, believing it will revolutionize patient care, reduce ...

Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...

Nvidia seems to be everywhere at this year's CES, providing companies with the tools for advancing their autonomous driving ...

Though agentic AI offers a lot of promise, poor performance, high costs, and unclear value could lead to projects being canceled without showing ROI, according to Gartner Research. More than 40% of ...

A new MIT study has cast doubt on the AI gold rush, revealing that 95% of generative AI business projects are failing to deliver meaningful results. Despite more than $44 billion being invested in AI ...