How AI and Machine Learning Transform Business Decision-Making

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What is it about artificial intelligence and machine learning that makes these technologies such game-changers for business? Watch the encore presentation as Dr. Maytal Saar-Tsechansky demonstrates how machine learning is being integrated into and often entirely transforming everyday business processes.

During this webcast, Dr. Saar-Tsechansky will:

  • Explain why machine learning is so powerful for driving better decisions
  • Walkthrough several real-world applications of machine learning and AI
  • Answer common questions that leaders have when considering adopting these technologies

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David A. Harrison, Ph.D.

Department of Management
McCombs School of Business

David A. Harrison is the Charles & Elizabeth Prothro Regents Chair of Business Administration in the Management Department at UT Austin.  He has published over 120 articles, book chapters, editorial reviews, papers, and monographs.  His main research interests are in leadership and the experience and management of diversity in organizational teams.  He teaches leadership classes to the full-time and working professional MBA, as well as diversity and inclusion programs to the undergraduate, graduate, employee, and executive outreach groups at UT. He also consults with many regional, national, and international corporations.

Maytal Saar-Tsechansky, Ph.D.

Professor of Information, Risk &
Operations Management
McCombs School of Business

Maytal Saar-Tsechansky is a Professor of Information, Risk and Operations Management at the McCombs School of Business, The University of Texas at Austin, and a co-founder of Sweetch, a mobile health startup firm. Her research develops machine learning (ML) and artificial intelligence (AI) methods to improve decision-making and to benefit people, organizations, and society. At McCombs, she developed and is teaching machine learning and AI courses tailored to business graduate and executive MBA students.

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