Data Chats Podcast
Data Chats Podcast
Nov 17, 2023
Bridging the Gap Between Data Science and Business
Play • 51 min

"There's a gap between the technical side and the business side. You need to bridge that gap with a common understanding of what's predicted, how well, and what's done about it." 

– Eric Siegel

In this insightful Data Chats episode, we explore the critical intersection of business and machine learning with Eric Siegel, a renowned expert in the field. Eric’s insights offer a roadmap for organizations seeking to leverage the power of AI to drive their business forward.

Eric Siegel is the founder of Machine Learning Week, former Columbia professor, and bestselling author of his new release, “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment.” He has a talent for bridging the gap between complex data science concepts and the practical application of machine learning in the business world. 

Check out Eric’s new release, “The AI Playbook: Mastering the Rare Art of Machine Learning Deployment” here

With his remarkable insights, Eric Siegel sits down with host, Chris Richardson, as he guides us through the exciting yet challenging landscape of AI's role in business. They discuss: 

  • Aligning with Business Objectives: Success comes from defining clear goals and understanding how AI can contribute to achieving them.
  • Measuring Deployment Success: Companies must define meaningful metrics that reflect the project's impact on the business.
  • Human Involvement: While AI and ML hold great potential, there’s still a need for human involvement to validate AI-generated results and maintain quality control.
  • New Roles and Responsibilities: As AI's role in business continues to evolve, new job titles and roles, such as machine learning business liaisons, are emerging. 

Want to learn more from Eric? Tune in to his previous interview with us here

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