SCOTTSDALE, AZ / ACCESS Newswire / May 27, 2026 / Sonatafy Technology today announced the release of "Why Software Projects Fail: The Sonatafy Software Delivery Failure Index, 2026 Edition", a ...
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.
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 ...
Most data leaders already understand the constraints: legacy architecture that cannot be replaced overnight, regulatory demands for explainability, enterprise-wide data availability requirements and ...
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 ...
The success rate of projects is by no means high.According to a survey by the PMI (Project Management Institute), about 30-40% of projects worldwide end in failure due to "scope creep" or "delayed ...
The claim that “AI projects are failing” has become a familiar headline—and a valid one. But while the failure rate may be high, it’s not necessarily cause for alarm. In fact, understanding why these ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Every year, the same pattern plays out. By late summer ...
I have not failed. I’ve just found 10,000 ways that won’t work,” Thomas Edison is known to have said. Project failure is a persistent and costly challenge in business, affecting organizations of every ...
As enterprises rush to adopt AI, SuiteCRM and AI solutions provider TechEsperto identifies the missteps that derail AI initiatives — and how to avoid them. Most AI projects don’t fail because the ...
In previous blogs, I’ve discussed why segmentation matters, the challenges of getting it right, and the benefits that organizations see when they fully commit to both macro- and micro-segmentation.
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