Creating an Enterprise AI Strategy: If Your Company Isn’t Good At Analytics, It’s Not Ready For AI

If Your Company isn't Good at Analytics, You're Not Ready for AI

Succeeding in AI requires being good at data engineering AND analytics. Unfortunately, management teams often assume they can leapfrog best practices for basic data analytics by directly adopting advanced technologies such as ML/AI – setting themselves up for failure from the get-go. 

Watch this on-demand webinar featuring Dave Mariani, AtScale Co-founder and Chief Strategy Officer, to learn how if you do not have technology that creates and maintains data pipelines and basic data engineering, your ability to solve problems with AI will become elusive.

AI requires a highly sophisticated application of data to draw correlations and operate properly. In other words, if you’re willing to put in a few years of diligent, hard work, you can become an overnight AI success.

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