5 Principles for Business Value and Artificial Intelligence

3 min read

How to unlock business value with AI by focusing on user experience and enterprise value levers Extracting business value is hard. I mean really hard… And when it comes to advanced analytics that process is even more difficult. After struggling to convince executive teams and boards of the value of these solutions, I have realized there are 5 critical components of extracting business value from AI projects. In this post I hope to illuminate these principles as best I can and hope that it will spur further conversation. I don’t consider these principles exhaustive by any means, but I do…...

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Michael Young After escaping the depths of academia doing physics and mathematics in basement offices, Michael started his “real world” career in business valuation consulting working on distressed asset liquidations and insurance value estimates. He then snapped out out it and went to work for SAP as a business transformation consultant working on Incentive Compensation strategies and technology for fortune 100 companies. After catching the cloud bug by helping launch SAPs cloud sales suite, Michael made is first foray at Salesforce as a solution engineer where he worked as an early evangelist for everything AI&ML. This led him to be recruited by a Private Equity firm where he lead a digital transformation group working at the board level to drive competitive advantage through technology, and executing transactions (including carve-outs, platform investments, growth strategies, etc) to welcome new members to the family.