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Gartner Expert
Erick Brethenoux
Distinguished VP Analyst, Chief of Research/KI Leader
Erick Brethenoux is Gartner's Artificial Intelligence Chief of Research. He specializes artificial intelligence techniques, methods and strategy, decision intelligence and applied cognitive computing. Mr. Brethenoux guides organizations on the strategic, organizational and technology aspects of using artificial intelligence as a driving force of their growth and differentiation. In particular, his research focuses on the operationalization of artificial intelligence techniques and practices, AI Engineering and next-generation decision intelligence systems.
Previous experience
Mr. Brethenoux has extensive experience in the domains of AI, data science and cognitive computing. Prior to rejoining Gartner, he was IBM Director of Machine Learning & Analytics Strategy. Prior to IBM, he was VP of Corporate Development at SPSS, pioneer in predictive analytics, and before that VP at Lazard Freres, working with institutional investors, analyzing startups for venture capital funding and merger and acquisition activities. Before Lazard, Mr. Brethenoux was Research Director of Advanced Technologies at Gartner focusing on decision support systems, knowledge management and advanced software engineering. Prior to Gartner, he conducted a scientific mission for the French Embassy in the U.S. Mr. Brethenoux is also currently an Adjunct Professor at Illinois Institute of Technology.
Professional background
IBM, Director, Business Analytics & Decision Management Strategy, 8 years
Lazard, Vice President, 8 years
SPSS, Vice President, Corporate Development, 5 years
Areas of coverage
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Analytics and Artificial Intelligence
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Data and Analytics Leaders and Programs
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Artificial Intelligence
Education
Ph.D., Cognitive Science, University of Delaware
M.S., Artificial Intelligence, West Chester University of Pennsylvania
Top Issues That I Help Clients Address
How to leverage data science and artificial intelligence technologies and methodologies to achieve competitive differentiation
Define and deploy best practices in artificial intelligence development through the right skills and the creation of AI assets
Define and apply best practices around AI operationalization to deploy, scale and maintain solutions
Understand and decipher the market trends for AI systems
Unveil emerging trends, technologies and markets in the cognitive computing, artificial intelligence, intelligent systems and agent-based systems