Eric Siegel
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Eric Siegel Email & Phone Number

CEO of Gooder AI | Author of “The AI Playbook” & “Predictive Analytics” | Founder of Machine Learning Week | Former Columbia professor. at Gooder AI
Location: San Francisco Bay Area, United States, United States 21 work roles 3 schools
2 work emails found @predictionimpact.com 11 phones found area 415, 669, 917, 212, and 310 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 2 work emails · 11 phones

Work email e****@predictionimpact.com
Direct phone (415) ***-****
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Current company
Role
CEO of Gooder AI | Author of “The AI Playbook” & “Predictive Analytics” | Founder of Machine Learning Week | Former Columbia professor.
Location
San Francisco Bay Area, United States, United States

Who is Eric Siegel? Overview

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Quick answer

Eric Siegel is listed as CEO of Gooder AI | Author of “The AI Playbook” & “Predictive Analytics” | Founder of Machine Learning Week | Former Columbia professor. at Gooder AI, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at predictionimpact.com, phone signal with area code 415, 669, 917, 212, 310, and a matched LinkedIn profile for Eric Siegel.

Eric Siegel previously worked as Cofounder and CEO at Gooder Ai and Author at Book: The Ai Playbook. Eric Siegel holds Ph.D., Machine Learning, Natural Language Processing, Predictive Analytics from Columbia University.

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Email format at Gooder AI

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{first}@predictionimpact.com
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Profile bio

About Eric Siegel

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.

Listed skills include Analytics, Predictive Analytics, Data Mining, Business Intelligence, and 46 others.

Current workplace

Eric Siegel's current company

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Gooder AI
Gooder Ai
CEO of Gooder AI | Author of “The AI Playbook” & “Predictive Analytics” | Founder of Machine Learning Week | Former Columbia professor.
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21 roles · 4 years

Eric Siegel work experience

A career timeline built from the work history available for this profile.

Cofounder And Ceo

Current

Gooder AI maximizes the value of machine learning by testing & visualizing its business performance.

Jul 2023 - Present

Author

Current

"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.

Feb 2024 - Present

Founding Chair

Current

Phoenix, AZ, US

Join 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

Aug 2023 - Present

Founder

Current

Come 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.

Aug 2023 - Present

Keynote Speaker On Ai, Machine Learning, Predictive Analytics

Current
Self-Employed

I have been commissioned to keynote 150+ times. To view videos, available topics, and testimonials from event producers: www.machinelearningspeaker.com

Jan 2007 - Present

Executive Editor

Current

The machine learning professionals' premier resource: articles, videos, events, community – http://www.machinelearningtimes.com

Jun 2012 - Present

President

Current

Consulting on machine learning for Fortune 500 companies, dot-coms, and analytics software vendors since 2003.

Aug 2003 - Present

Instructor

Current

This 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

Feb 2021 - Present

Host

Current

Originally short webisodes that cover the very best of machine learning and predictive analytics, The Dr. Data Show is now a podcast.

Sep 2018 - Present

Founder

Current

Santa Barbara, CA, US

Predictive 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.

Mar 2008 - Present

Founder

Current

Santa Barbara, California, US

Deep 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.

Jun 2018 - Present

Advisory Board Member

Current

Irvine, CA, US

Predictive Analytics Certificate Program, University of California Irvine Extension

Sep 2012 - Present

Founding Chair

Phoenix, AZ, US

Join 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

Aug 2022 - Jun 2023

Bodily Bicentennial Professor Of Analytics

Charlottesville, VA, US

The 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.

2022 - 2023 ~1 yr

Advisory Board Member

Jerusalem, Israel, IL

DMWay 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.

Jul 2016 - May 2019

Founding Conference Chair

Text Analytics World

The business conference covering cross-industry, cross-vendor deployment of text analytics.

Mar 2011 - Jun 2016

Director Of Technology Integration And Co-Founder

US

· 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.

Sep 2001 - May 2003

Cto And Co-Founder

New York, NY, US

Formed 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.

Dec 1999 - Apr 2001

Assistant Professor (Standard Starting Fulltime Faculty Title)

New 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.

Sep 1997 - Aug 2000
3 education records

Eric Siegel education

Ph.D., Machine Learning, Natural Language Processing, Predictive Analytics

Columbia University

M.S., Computer Science

Columbia University

B.A., Computer Science

Brandeis University
FAQ

Frequently asked questions about Eric Siegel

Quick answers generated from the profile data available on this page.

What company does Eric Siegel work for?

Eric Siegel works for Gooder AI.

What is Eric Siegel's role at Gooder AI?

Eric Siegel is listed as CEO of Gooder AI | Author of “The AI Playbook” & “Predictive Analytics” | Founder of Machine Learning Week | Former Columbia professor. at Gooder AI.

What is Eric Siegel's email address?

AeroLeads has found 2 work email signals at @predictionimpact.com for Eric Siegel at Gooder AI.

What is Eric Siegel's phone number?

AeroLeads has found 11 phone signal(s) with area code 415, 669, 917, 212, 310 for Eric Siegel at Gooder AI.

Where is Eric Siegel based?

Eric Siegel is based in San Francisco Bay Area, United States, United States while working with Gooder AI.

What companies has Eric Siegel worked for?

Eric Siegel has worked for Gooder Ai, Book: The Ai Playbook, Machine Learning Week 2024, Generative Ai Applications Summit, and Self-Employed.

How can I contact Eric Siegel?

You can use AeroLeads to view verified contact signals for Eric Siegel at Gooder AI, including work email, phone, and LinkedIn data when available.

What schools did Eric Siegel attend?

Eric Siegel holds Ph.D., Machine Learning, Natural Language Processing, Predictive Analytics from Columbia University.

What skills is Eric Siegel known for?

Eric Siegel is listed with skills including Analytics, Predictive Analytics, Data Mining, Business Intelligence, Predictive Modeling, Machine Learning, Strategy, and Crm.

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