Upcoming Webinars

The Princeton 20: A Framework for Identifying and Managing AI Project Risk

Event Info

icon_calendar.jpgJanuary 21, 2022
icon_clock.jpg12 noon ET
icon_stopwatch.jpgDuration: 1 hour
 

Speaker

Steve Sashihara is the CEO of Princeton Consultants, www.princeton.com, which he founded in 1981. The firm blends AI, optimization, software development and management consulting to help companies achieve transformational improvement.

 Steve is the author of The Optimization Edge: Reinventing Decision Making to Maximize All Your Company's Assets (McGraw Hill), www.optimizationedge.com, the first book to explain optimization to a general business executive. He is a frequent guest speaker at business and industry events, and a contributor to many publications about AI, optimization, and digital disruption in freight transportation and logistics.

 Steve is a graduate of Princeton University, where he serves on the Advisory Board of the Department of Operations Research and Financial Engineering. He represents Princeton Consultants on the INFORMS Roundtable.

For 40 years, Princeton Consultants has had the privilege to work with many of the world's most successful companies to improve their core business processes with AI and Optimization. Our clients have spanned virtually every industry: Transportation and Logistics, Life Sciences and Healthcare, Manufacturing and Distribution, Media and Technology, E-commerce and Retail, Education and Government, and Financial Services. Throughout this time, we have come to believe that the hardest part of any project is "Deployment" -- the phase where a promising innovation moves from the laboratory to broad field production. In this talk, Steve will present "The Princeton 20," an internally developed framework we use to identify and manage the most important risk factors for the Deployment of an AI/Optimization system, independent of industry or application.

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This webinar is part of the series "Sustaining Outstanding Analytics Organizations" organized by Arnie Greenland. 

Machine Learning in Real Time Healthcare

Event Info

icon_calendar.jpgJanuary 28, 2022
icon_clock.jpg12 noon ET
icon_stopwatch.jpgDuration: 1 hour
 

Speaker

Dr. Bex Thomas, GE Healthcare leads a Machine Learning Team. His team focuses on building a broad range of large-scale machine learning and optimization solutions for managing hospital operations. His team has delivered predictive/prescriptive solutions for multiple hospitals. Before he transferred to GE Healthcare, Bex was a researcher at GE Global Research. His research work has been commercialized and successfully applied in the areas of healthcare, renewable energy, and transportation. Bex was a finalist for INFORMS Wagner Prize in 2009 and 2012. He has received several GE awards for his technical contributions. Bex received his MS and PhD degrees in Industrial Engineering from the University of Wisconsin-Madison.

We will discuss a few use cases of how machine learning and other advanced analytics create intuitive actionable information in real time to help healthcare providers orchestrate patient care for better outcomes and efficiency. 

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