Eric Siegel Email and Phone Number
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Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the cofounder and CEO of Gooder AI, the founder of the long-running Machine Learning Week conference series, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die," which has been used in courses at hundreds of universities, as well as "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment." Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate *computer science* courses in ML and AI. Later, he served as a *business school* professor at UVA Darden. Eric has appeared on numerous media channels, including Bloomberg, National Geographic, and NPR, and has published in Newsweek, HBR, SciAm blog, WaPo, WSJ, and more.
Gooder Ai
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Cofounder And CeoGooder Ai Jul 2023 - PresentGooder AI maximizes the value of machine learning by testing & visualizing its business performance.
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AuthorBook: The Ai Playbook Feb 2024 - Present"The AI Playbook: Mastering the Rare Art of Machine Learning Deployment," by bestselling author Eric Siegel, presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment: bizML. For techies, corporate professionals, and anyone curious about AI, this book shows how to make the most of this incredibly important and fast-changing technology. -
Founding ChairMachine Learning Week 2024 Aug 2023 - PresentPhoenix, Az, UsJoin us in Phoenix on June 6-7 for Machine Learning Week 2024, with leading-edge tracks of sessions covering the commercial deployment of machine learning. Register to also optionally attend full-day training workshops, as well as the co-located Generative AI Applications Summit. For info: www.machinelearningweek.com -
FounderGenerative Ai Applications Summit Aug 2023 - PresentCome to Generative AI Applications Summit, June 6-7, 2024 in Phoenix. We provide a platform for the burgeoning generative AI community to share success stories and insights with their industry peers. Don’t miss four days that provide the perfect opportunity for in-depth knowledge-sharing, interactive, expert discussions and intensive industry networking. -
Keynote Speaker On Ai, Machine Learning, Predictive AnalyticsSelf-Employed Jan 2007 - PresentI have been commissioned to keynote 150+ times. To view videos, available topics, and testimonials from event producers: www.machinelearningspeaker.com
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Executive EditorThe Machine Learning Times Jun 2012 - PresentThe machine learning professionals' premier resource: articles, videos, events, community – http://www.machinelearningtimes.com -
Bestselling AuthorBook: Predictive Analytics Jan 2016 - Present -
PresidentPrediction Impact, Inc. Aug 2003 - PresentConsulting on machine learning for Fortune 500 companies, dot-coms, and analytics software vendors since 2003. -
InstructorMachine Learning Leadership And Practice – End-To-End Mastery Feb 2021 - PresentThis end-to-end, three-course series will empower you to lead and launch machine learning. Accessible to business-level learners and yet vital to techies as well, it covers both the state-of-the-art techniques and the business-side leadership best practices.http://www.MachineLearning.courses -
HostThe Dr. Data Show Sep 2018 - PresentOriginally short webisodes that cover the very best of machine learning and predictive analytics, The Dr. Data Show is now a podcast. -
FounderPredictive Analytics World Conference Series Mar 2008 - PresentSanta Barbara, Ca, UsPredictive Analytics World is the leading cross-vendor event for machine learning and predictive analytics professionals, managers and commercial practitioners. The only conference of its kind, PAW delivers vendor-neutral sessions across verticals such as banking, financial services, e-commerce, entertainment, government, healthcare, manufacturing, high technology, insurance, non-profits, publishing, and retail. -
FounderDeep Learning World Jun 2018 - PresentSanta Barbara, California, UsDeep Learning World is the premier conference covering the commercial deployment of deep learning. The event’s mission is to foster breakthroughs in the value-driven operationalization of established deep learning methods. DLW is co-located alongside four established industry Predictive Analytics World events — PAW Business, PAW Financial, PAW Healthcare, and PAW Manufacturing — which will compose PAW’s single “mega” event for 2019. -
Advisory Board MemberUc Irvine Sep 2012 - PresentIrvine, Ca, UsPredictive Analytics Certificate Program, University of California Irvine Extension -
Advisory Board MemberBrandeis University - Graduate Professional Studies Sep 2014 - PresentWaltham, Ma, UsBrandeis University Strategic Analytics Professional Advisory Committee member -
Founding ChairMachine Learning Week 2023 Aug 2022 - Jun 2023Phoenix, Az, UsJoin us in Las Vegas June 18-22 for Machine Learning Week 2023, with seven tracks of sessions covering the commercial deployment of machine learning. Register to attend one or more of MLW’s five co-located conferences: PAW Business, PAW Financial, PAW Industry 4.0, PAW Healthcare, and Deep Learning World. For info: http://www.machinelearningweek.com
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Bodily Bicentennial Professor Of AnalyticsUniversity Of Virginia Darden School Of Business 2022 - 2023Charlottesville, Va, UsThe inaugural holder of this position. In this one-year position, a leader in the field of analytics collaborates and share insights with the Darden and broader University of Virginia community, advancing the world through analytics. -
Advisory Board MemberDmway Analytics Jul 2016 - May 2019Jerusalem, Israel, IlDMWay Analytics is a leading innovator of an Artificial Intelligence Predictive Analytics platform, that enables subject matter domain experts (marketing manager, BI Analyst, Risk manager, Non-data scientist) with limited knowledge (if any) in Statistics, Analysis, Machine Learning and Math to generate predictive analytics models (at a level of data science expert) addressing emerging business needs fast and in DIY mode. The global analytics workforce is struggling to keep up, and is currently lacking the capability of effectively utilizing the burgeoning amount of data that is created daily. Moreover, current technologies require highly skilled statisticians and programmers to create predictive models. DMWay disrupts this niche, allowing every player the ability to build better predictive models in hours; offering a reimagined and immediate analytics response to degenerating legacy models; accessible and affordable to all. -
Founding Conference ChairText Analytics World Mar 2011 - Jun 2016The business conference covering cross-industry, cross-vendor deployment of text analytics.
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Director Of Technology Integration And Co-FounderCounterstorm (Formerly System Detection) Sep 2001 - May 2003Us· Resident scientist leading data mining research · Project lead/lead designer for an agency-sponsored prototype · Supervise transfer of data mining technology from research lab · Writing research publications, research grant proposals, SOWs, whitepapers · Technical sales (acting systems engineer) · Lead for IP protection · Assisted fundraising, including intro to lead investor -
Cto And Co-FounderKargo, Inc. Dec 1999 - Apr 2001New York, Ny, UsFormed and led a team of 20 engineers to design and implement wireless solutions, including the customer profile solution, Preference Management Technology, an early embodiment of conceptual contributions promoted by Sun's Liberty Alliance. Led venture fundraising of $250,000, and assisted in obtaining $2,750,000. -
Assistant Professor (Standard Starting Fulltime Faculty Title)Columbia University, Dept. Of Computer Science Sep 1997 - Aug 2000New York, Ny, Us· Taught graduate courses on machine learning and AI· Taught intro concepts to non-engineers · Chaired masters degree admissions (all final decisions)· Departmental representative to Columbia College · Advised and supervised student research · Created/revised undergraduate and graduate curricula · Recruited/interviewed faculty candidates · Academic advisor to masters and undergraduate students
Eric Siegel Skills
Eric Siegel Education Details
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Columbia UniversityPredictive Analytics -
Columbia UniversityComputer Science
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Brandeis UniversityComputer Science
Frequently Asked Questions about Eric Siegel
What company does Eric Siegel work for?
Eric Siegel works for Gooder Ai
What is Eric Siegel's role at the current company?
Eric Siegel's current role is CEO of Gooder AI | Author of “The AI Playbook” & “Predictive Analytics” | Founder of Machine Learning Week | Former Columbia professor..
What is Eric Siegel's email address?
Eric Siegel's email address is er****@****act.com
What is Eric Siegel's direct phone number?
Eric Siegel's direct phone number is +141538*****
What schools did Eric Siegel attend?
Eric Siegel attended Columbia University, Columbia University, Brandeis University.
What skills is Eric Siegel known for?
Eric Siegel has skills like Analytics, Predictive Analytics, Data Mining, Business Intelligence, Predictive Modeling, Machine Learning, Strategy, Crm, Start Ups, Business Analytics, Big Data, Data Analysis.
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