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5 Principles for Business Value and Artificial Intelligence

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How to unlock business value with AI by focusing on user experience and enterprise value levers

1. Can a front line employee understand each prediction?

2. Does your business process match your features?

3. Can the C-Suite use the models to make decisions?

4. Is there a strong business case for AI vs. simpler methods?

5. Do your models support cross-business unit decision making?

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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.

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