Despite the billions of dollars being poured into AI startups and applications - it is common knowledge that most enterprise AI initiatives fail.
While we could write an entire report about the reason that AI enterprise projects fail (Getting Started with AI is a good start), it's important to note that most failures have the same origin:
Executive leadership doesn't understand AI.
We could blame vendors for overselling their vision - but savvy executives would have known that their promises were unrealistic (and they would have asked for case studies with other clients).
We could blame the project's failure on the disjointed state of our data infrastructure - but savvy executives would have done a small data audit to determine the feasibility of the project ahead of time.
We could blame the failure on team members who couldn't work together across silos - but savvy executives would have built a dedicated project team committed (and accountable for) such collaboration.
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