Summary

I’m an expert in bringing ML and AI driven consumer data technologies to market. Focal use cases for these technologies include: Marketing Operations, Automated Decision Activation, Measurement and Analytics, Info Security and Privacy. The organizations I’ve led have built, marketed, sold, acquired and integrated comprehensive explainable machine intelligence products for marketing and advertising technology businesses.

I've led businesses against aggressive innovation roadmaps and cultural transformation to solve a wide range of issues in marketing operations and information technology including: Marketing optimization, experimentation optimization; user privacy and legal compliance; customer relationship management; cross-channel media measurement; sales-cycle time reduction, self service, data costs and lag time elimination, commercial partnership efficiency, labor costs reduction, agency disintermediation, organizational decision optimization, and I'm best known for my innovations in explainable (causal) prediction to solve both privacy and security challenges as well as costly missing and incomplete data that plague decision making. 

I maintain strong academic ties with top marketing and economics faculty, provide executive education in data driven decision making, and maintain a research program that develops data science for managerial decision making. I have extensive vertical expertise in digital media & e-commerce, automotive, insurance and banking, retail, telecom, and B2B software.

My technical expertise includes: Data Management & Analytics, Econometrics & Bayesian Statistics, Management & Marketing Science, Software Application Engineering, Technical & Cloud Computing, Large-scale Decision Activation Systems & Optimization.

Education

PhD, University of Connecticut

BA, Western Connecticut State University

Contact 

michael@macohen.net