How Aligning AI Project Teams Can Ensure Ai Success
EnterpriseAI, June 19th, 2020
June 19, 2020,
Volume 267, Issue 3
While AI deployments are picking up steam, challenges to success, both technical and cultural, abound
"One of the biggest challenges is the lack of alignment among the three pillars of enterprise AI success: business users who are closest to the data, data engineers charged with keeping the data pipes open, and data scientists who make AI work. This lack of alignment typically means that data science teams find themselves 'boiling the ocean' without a clear scope, while data engineers don't know what data sets to focus on - which can lead to very disappointing results for AI projects. Only by aligning these groups around a standard data science methodology can consistent AI success be achieved..."
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