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Translating Data Science to Business Value

AI offers the potential to solve our most complex business problems; but to truly deliver on this potential, enterprises need to rethink core operating principles and build new practices that translate data science to business value. In this session, I will share some tough lessons learned over the years when trying to bring data science projects into production and truly impact business value. I'll close by introducing a step-by-step framework for accelerating the use of ML to solve business problems. From building a business case to measuring and optimizing performance in production, I'll share specific case studies across industries with actionable insights.

Speakers
Keegan Hines
Keegan Hines
Vice President of Machine Learning @ Arthur
Keegan Hines
Keegan Hines
Vice President of Machine Learning @ Arthur
Agenda
8:00 PM
8:45 PM
Presentation

Translating Data Science to Business Value

AI offers the potential to solve our most complex business problems; but to truly deliver on this potential, enterprises need to rethink core operating principles and build new practices that translate data science to business value. In this session, I will share some tough lessons learned over the years when trying to bring data science projects into production and truly impact business value. I'll close by introducing a step-by-step framework for accelerating the use of ML to solve business problems. From building a business case to measuring and optimizing performance in production, I'll share specific case studies across industries with actionable insights.

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Keegan Hines
Event has finished
March 03, 8:00 PM, GMT
Online
Hosted by
AI Exchange
AI Exchange
Event has finished
March 03, 8:00 PM, GMT
Online
Hosted by
AI Exchange
AI Exchange