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AI Knowledge Retention in the Enterprise – Making the Most of Lessons Learned

AI Knowledge Retention in the Enterprise - Making the Most of Lessons Learned 950x540

Novice AI project leaders measure projects entirely by (unrealistic) near-term financial benchmarks.
Relatively experienced AI project leaders understand that AI initiatives must be measured by well-considered measurable benchmarks along with relevant progress on larger strategic goals for the organization.
Many expert enterprise AI project leaders would argue that deploying initial AI projects is more about the ROI of learning than it is about the ROI of any first AI application itself.
We might think about a variation of the "teach a man to fish" proverb:
Implement a successful AI initiaive ...

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Novice AI project leaders measure projects entirely by (unrealistic) near-term financial benchmarks.
Relatively experienced AI project leaders understand that AI initiatives must be measured by well-considered measurable benchmarks along with relevant progress on larger strategic goals for the organization.
Many expert enterprise AI project leaders would argue that deploying initial AI projects is more about the ROI of learning than it is about the ROI of any first AI application itself.
We might think about a variation of the "teach a man to fish" proverb:
Implement a successful AI initiaive ...

[mrj_paywall] unauthorized access

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