Eric Siegel
San Francisco Bay Area,United States
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Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who makes machine learning and predictive analytics understandable and captivating. He is the founder of the Predictive Analytics World and Machine Learning Week conference series and executive editor of The Predictive Analytics Times. Eric is the author of the bestselling book 'Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die,' which has been used in courses at over 35 universities and translated into more than 15 languages. He is a renowned keynote speaker, known for his ability to demystify complex data science topics for both technical and business audiences, and has delivered presentations for a wide range of organizations. His work focuses on driving the adoption and effective implementation of predictive technologies across various industries.
Professional Summary
Eric Siegel's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Founder of Predictive Analytics World & Machine Learning Week
Established and leads the premier international, vendor-neutral conference series focused on the practical application of predictive analytics and machine learning, bringing together practitioners, leaders, and academics.
Bestselling Author of 'Predictive Analytics'
Authored the highly acclaimed and influential book 'Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die,' making complex data science concepts accessible to a broad audience. The book has been translated into over 15 languages.
Distinguished Educator and Former Columbia University Professor
Served as a professor at Columbia University, teaching machine learning and AI. He continues to educate professionals worldwide through keynote speeches, workshops, and online courses.
Executive Editor of The Predictive Analytics Times
Leads the editorial direction for The Predictive Analytics Times, a key online resource providing insights, articles, and news on the latest developments in the field of predictive analytics.
Educational Background
Ph.D., Machine learning, natural language processing, predictive analytics
Columbia University - Year 1991
M.S., Computer science
Columbia University - Year 1991
B.A., Computer science
Brandeis University - Year 1987
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Company Overview
Gooder AIGooder AI specializes in developing advanced artificial intelligence solutions to enhance customer experiences and optimize business operations. They leverage generative AI and data analytics to provide tools for customer service automation, personalized interactions, and actionable insights, aiming to help businesses improve efficiency and customer satisfaction.
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