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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.
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 ...
Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. First it was generative AI, then artificial general intelligence captured imaginations. Now, it ...
Mike Kiersey is Global VP of Solution Consulting at Workato. A technology executive bridging the gaps in the digital AI era. Over four in 10 businesses have scrapped at least one AI initiative this ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. AI is the most gifted and least trustworthy colleague I've ...
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 ...
Vendors are deliberately misinterpreting AI’s high failure rate. While failures do happen, it’s usually because management sets objectives without having a clue what the technology can do or how it ...