About Michael
1996 - 2004
Early Scholastic & Athletic accomplishments set the foundation for his leadership, academic achievement, and bias for action
2005 - 2009
During his PhD Michael starts experimenting with little known GPU computing for matrix operations and parallel processing for efficiently training computationally intensive prediction machines for consumer demand problems,
2010 -2013
As a professor at NYU Stern Michael authored key research on ML/AI methods and computational approaches for marketing measurement and optimization problems
2013 - 2021
Michael leads the creation and go to market releases of three successful commercial cloud software products for marketing measurement and optimization
2022
Michael leads the launch of AIOS a next generation agentic AI cloud software for marketing campaign creation, measurement, and personalization
Meet Michael
Visionary AI strategist, Michael Cohen, has pioneered explainable machine learning (ML) solutions for consumer data-driven marketing, setting a new standard in predictive intelligence and data analytics.
With extensive experience in developing, launching, and scaling data, prediction, and AI products for marketing operations, automated decision-making, and privacy-centric intelligence, Michael has transformed the marketing technology ecosystems with systems that drive true business growth. His leadership has shaped innovation roadmaps that prioritize explainability and actionable insights, empowering organizations to optimize marketing campaigns, enhance customer experience, and ensure regulatory compliance.
Michael has launched several enterprise cloud software businesses with novel predictive intelligence platforms, most recently AIOS, which delivers a high fidelity view of the customer journey, empowering marketing teams with powerful creative insights and outputs, precision analytics, and seamless targeted cross-channel optimization.
Known for building and using prediction machines to solve complex issues—from user privacy to data lag elimination, Michael’s approach to machine intelligence reduces labor costs, boosts efficiency, and eliminates data silos, setting the bar for return to MOIC in AI in the marketing and advertising landscape.