According to Gartner analysts, up to 85% of big data projects fail. I suspect that for AI projects, especially if you count the ones that never start, the failure rate is even higher. What are the reasons for the high failure rate with AI projects? Drawing on my technology consulting experience from working at Accenture UK and wider transformation project experience within the highly complex environment of the UK National Health Service (NHS), I wanted to identify the causes and potential solutions. As highlighted in a previous post, although there is a widespread belief among senior executives that AI can give their companies or help them maintain a competitive advantage, only a few had implemented AI in a meaningful manner.Read the article on >

© 2022 ConscientAI Labs (Private) Limited