Using the Economics Value Curve to Drive Digital Transformation

#artificialintelligence 

I'm missing my Thursday evening Big Data MBA classes at the University of San Francisco School of Management (though I expect my students are glad that ordeal is over). One of my biggest learnings from this semester was around how to properly construct an actionable and measurable business hypothesis. The problem with these business objectives is that they don't fully capture the complexity of the real business world – they are one-dimensional; they only solve for a single variable. One can quickly see that those solutions, while technically possible, are not realistic. Optimizing a single objective, or a single point, is actually quite easy because there are no conflicting objectives.