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PACE Data Analytics IG

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Think enterprise AI is too expensive? Think Again. In fact, overlooking the accessibility and value-generating abilities of AI and machine learning will noticeably hurt your business.


Think about it: if your competitors can see insights you cannot and make decisions faster and proactively, they take the cake.


From forecasting sales with scientific precisions to predicting customer needs and buying patterns, the impact of cross-functional AI is profound.


I love this piece by Tom Davenport and HBR, covering the need and outcomes of leveraging AI effectively in a very digestible form.


Comment below if you agree / disagree - is AI really that important to remaining competitive in 2022?


https://hbr.org/2018/01/artificial-intelligence-for-the-real-world

Gary Cokins
Gary Cokins
Jul 23, 2022

Chris ... I agree with what you wrote in your post. I appreciate that you reference Babson College's Tom Davenport. His co-authored "Competing on Analytics" book from a decade ago initiated interest with C-Suite executives with data science.

Many believe that AI and robotic process automation (RPA) are years in the future. They will be adopted much sooner, and many organizations (and people too) are not prepared. ... Gary ... Gary Cokins

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