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Data Chats Podcast

Bridging the Gap Between Data Science and Business

Nov 17, 2023
Renowned expert Eric Siegel discusses bridging the gap between data science and business. Key topics include aligning with business objectives, measuring deployment success, and the importance of human involvement in AI. Siegel's insights offer a roadmap for organizations seeking to leverage the power of AI in driving their business forward.
50:36

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Success in machine learning projects relies on clear alignment with business objectives.
  • Measuring deployment success requires defining impactful metrics reflecting business impact.

Deep dives

The Importance of Capturing Business Value in Machine Learning Projects

Machine learning projects often face challenges in capturing actual business value, despite the high expectations. Organizations need to shift focus towards successful deployment and integration of machine learning models to drive real business impact. Assimilating core technology with organizational objectives is crucial for maximizing the benefits.

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