Dr. Eric Siegel, Founder of Machine Learning Week, on 6 steps to usher in successful ML projects
02/12/24 • 36 min
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Dr. Eric Siegel is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, 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.
Listen and learn
- How he’s progressed in the field of machine learning over 30 years
- 6-step process to usher in machine learning programs from conception to deployment
- What 3 things non-technical people in business should know about how machine learning works & delivers value
- How to know when to use classical machine learning vs generative AI to solve a data problem
- How to mitigate the impact of human bias in shaping AI
Resources
- Purchase "The AI Playbook" — http://www.bizML.com
- Scott Zoldi episode —https://feeds.buzzsprout.com/520474.rss
Dr. Eric Siegel is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, 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.
Listen and learn
- How he’s progressed in the field of machine learning over 30 years
- 6-step process to usher in machine learning programs from conception to deployment
- What 3 things non-technical people in business should know about how machine learning works & delivers value
- How to know when to use classical machine learning vs generative AI to solve a data problem
- How to mitigate the impact of human bias in shaping AI
Resources
- Purchase "The AI Playbook" — http://www.bizML.com
- Scott Zoldi episode —https://feeds.buzzsprout.com/520474.rss
Previous Episode
Juliette Powell & Art Kleiner, Entrepreneurs & Professors, Discuss The 7 Principles of Responsible Technology
Juliette Powell is the founder and managing partner of Kleiner Powell International [KPI], a New York City-based consultancy. As a consultant at the intersection of responsible technology and business, she has advised large companies and governments on how to deal with the accelerating change underway due to AI-enabled technological innovation coupled with shifting social dynamics and heightened global competition. She’s also on the faculty at New York University and teaches in the Interactive Telecommunications Program.
Art Kleiner is a writer, lecturer, and consultant with a background in management, interactive media, corporate environmentalism, scenario planning, and organizational learning. He is a co-author (with Pete Senge et al.) of the best-selling Fifth Discipline Fieldbook, The Dance of Change, and Schools That Learn; and author of Who Really Matters: The Core Group Theory of Power, Privilege, and Success. Since 1986, he has taught in New York University's Interactive Telecommunications Program.
Juliette and Art co-authored a new book, The AI Dilemma: 7 Principles for Responsible Technology.
Listen and learn
- How Juliette and Art started their careers
- The Principles of Responsible Technology
- What could happen if AI became sentient?
- How can we prevent AI from reinforcing negative biases and discrimination?
- How people and organizations can practice better ethics when leveraging AI?
- What will it take to engrain more ethical, equity-oriented thinking into business education?
- Much more
References in this episode...
Next Episode
Atif Rafiq, CEO & Bestselling Author, on the decision sprint process
Atif has blazed trails in Silicon Valley and the Fortune 500 for over 25 years. After rising through digital native companies like Amazon, Yahoo!, and AOL, Atif held C-suite roles at McDonald’s, Volvo, and MGM Resorts. He oversaw thousands of employees as a global P&L, transformation, and innovation leader.
Rafiq was the first Chief Digital Officer in the history of the Fortune 500, a pioneering role he held at McDonalds, and he rose to the President level in the Fortune 300. While leading business units, teams, and growth for companies, Atif has built a large following as one of today’s top management thinkers. Over 500,000 people follow his ideas about management and leadership on LinkedIn, where he is a Top Voice, and his newsletter Re:wire has over 100,000 subscribers. Atif has also been nominated
Atif is passionate about helping companies push boldly into the future. He accomplishes this through Ritual, a software app revolutionizing how teams innovate and problem-solve, and through his work as keynote speaker, Board member, and CEO advisor.
Listen and learn
- What’s broken about the decision-making process in large companies
- What is the decision sprint process
- How will team formation/team structure change as a result of AI?
- How do we measure the quality of the output of a decision sprint?
- What are the smartest ways to engage generative AI in the decision sprint process?
- How do you reasonably deal with the fear of AI replacing your job?
- Much more
Resources
— Buy the book — https://www.decisionsprint.com/
— Ritual — https://www.ritual.work/
— Listen to a related episode — https://www.buzzsprout.com/520474/14158168-bruce-feiler-best-selling-author-ted-celebrity-tv-personality-and-new-york-times-columnist-discusses-navigating-life-transitions
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