Published: 05 February 2018
Organizational and process pitfalls in data science and machine-learning projects have the potential to derail success and destroy organizationwide confidence in these techniques. Data and analytics leaders should use this checklist to avoid six critical project execution pitfalls.
Analysts:
Nigel Shen, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden
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