Vitaly Meursault

Vitaly Meursault
  • Lecturer

Contact Information

Teaching

Current Courses (Fall 2026)

  • OIDD6670 - A.i., Business & Society

    The course provides an overview of AI and its role in business transformation. The purpose of this course is to improve understanding of AI, discuss the many ways in which AI is being used in the industry, and provide a strategic framework for how to bring AI to the center of digital transformation efforts. In terms of AI overview, we will go over a brief technical overview for students who are not actively immersed in AI (topics covered include Big Data, data warehousing, datamining, machine learning, etc). In terms of business applications, we will consider applications of AI in Media, Finance, Healthcare, Retail, and other industries. Finally, we will consider how AI can be used as a source of competitive advantage. We will conclude with a discussion of ethical challenges and a governance framework for AI. No prior technical background is assumed but some interest in (and exposure to) technology is helpful. Every effort is made to build most of the lectures from the basics.

    OIDD6670001 ( Syllabus )

All Courses

  • OIDD6670 - A.I., Business & Society

    The course provides an overview of AI and its role in business transformation. The purpose of this course is to improve understanding of AI, discuss the many ways in which AI is being used in the industry, and provide a strategic framework for how to bring AI to the center of digital transformation efforts. In terms of AI overview, we will go over a brief technical overview for students who are not actively immersed in AI (topics covered include Big Data, data warehousing, datamining, machine learning, etc). In terms of business applications, we will consider applications of AI in Media, Finance, Healthcare, Retail, and other industries. Finally, we will consider how AI can be used as a source of competitive advantage. We will conclude with a discussion of ethical challenges and a governance framework for AI. No prior technical background is assumed but some interest in (and exposure to) technology is helpful. Every effort is made to build most of the lectures from the basics.

Knowledge at Wharton

How Data Changed MLB Pitching

Adam Ottavino, former 15-year MLB reliever and current ESPN analyst, explains how data and technology transformed pitch design, scouting, and in-game strategy.Read More

Knowledge @ Wharton - 8/19/2026
Want More Women Candidates? Ask Employees for More Referrals

A Wharton paper found that increasing referral targets prompted employees to look beyond their first choices, bringing more women into the recruitment pipeline.Read More

Knowledge @ Wharton - 8/18/2026
The AI Boom Is Testing America’s Power Grid

Serguei Netessine, Wharton's senior vice dean for innovation and global initiatives, examines AI's growing electricity demand and the infrastructure needed to support it.Read More

Knowledge @ Wharton - 8/18/2026