This always gets me thinking as a headline!<\/p>\n
Gartner loves to headline it. Analysts repeat it. Consultants wring their hands over it.<\/p>\n
85% of data and AI projects fail.\u201d<\/p>\n
The implication? That this is a disaster.<\/p>\n
That your organization should be ashamed if a pilot crashes and burns.<\/p>\n
But, maybe, if we think about it for a second, maybe it’s meant to be!<\/p>\n
Stick with me here!<\/p>\n
POCs and pilots aren\u2019t supposed to be flawless.<\/p>\n
They are meant to kill bad ideas early so only the strong survive. Just read that one again. I know you might find it difficult.<\/p>\n
A high early-stage failure rate means your team is doing the most underrated thing in corporate innovation: learning fast, cheaply, and without betting the farm.<\/p>\n
In fact, the real danger isn\u2019t 85 percent failing, it\u2019s actually when 85 percent succeed in pilots, and then stall, deliver no value, or quietly die in production because they were never strategically aligned.<\/p>\n
So, how do you make sure that \u201cfail fast\u201d doesn\u2019t turn into \u201cfail forever?”<\/p>\n
Here\u2019s the 3-part executive playbook to turn AI experimentation into measurable business wins:<\/p>\n
\u00a0Fail Intelligently: Not all Failures are Equal<\/strong><\/p>\n The goal isn\u2019t to make every AI project work. It\u2019s to make the right ones work, at scale, for the business.<\/p>\n Failure is the tuition you pay for future value. The smart executive knows when to stop paying and start cashing in.<\/p>\n Don’t let the FOMO effect from this overused statistic, fear tactic, make you go headless first into an “let’s just do AI for AI’s sake.”<\/p>\n Step back, remember the purpose of the organization, don’t waste money and do it with integrity, not because Gartner keeps piling the pressure on and making you feel sick!<\/p>\n It’s time to change and that change is to get rid of this 85 percent noise and make it real.<\/p>\n Can you do that?<\/p>\n","protected":false},"excerpt":{"rendered":" This always gets me thinking as a headline! Gartner loves to headline it. Analysts repeat it. Consultants wring their hands over it. 85% of data and AI projects fail.\u201d The implication? That this is a disaster. That your organization should be ashamed if a pilot crashes and burns. But, maybe, if we think about it […]<\/p>\n","protected":false},"author":546,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[10],"tags":[],"acf":[],"yoast_head":"\n\n
Align Before You Build: The Biggest Cause of Value Leakage isn\u2019t Bad Tech, it\u2019s Misalignment<\/strong><\/h4>\n
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\u00a0Scale the Survivors: Your Winners Need a Runway<\/strong><\/h4>\n
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