Webinar: Information session on Rotman School of Management’s Business Analytics: Data-driven Decision Making program (Webinar) by Emeritus

Information session on Rotman School of Management’s Business Analytics: Data-driven Decision Making program (Webinar)

About

Analyzing data and putting it to work for you and your business is an essential skill for executives today. But if you are not as fluent as you need to be in data and analytics, you’re not alone. According to The Data Literacy Index from Qlik, just 24 percent of the global workforce feels confident in reading, working with, analyzing, and arguing with data. You can close that competency gap by gaining the skills to transform your organization into a data-driven enterprise.

This is not just about adding to your own professional skill set. Gartner reports that 80 percent of organizational leaders have a goal of initiating a deliberate plan to improve the data literacy of their workforce at large. Position yourself and your company to advance your data literacy and confidently lead a data-driven corporate culture.

Register for this informative webinar to learn more about the upcoming Business Analytics: Data-driven Decision Making program from the Rotman School of Management.

When

Fri, Aug 26, 2022 · 9:00 AM Eastern Time (US & Canada) (GMT -4:00)

Agenda

Hear from pioneering thought-leaders
Dive deeper into fascinating topics that are changing the world
Explore how our multifaceted learning approach will help you create lasting impact
...and so much more!

Presenter

Avi Goldfarb

Rotman Chair in Artificial Intelligence and Healthcare, Professor of Marketing, Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, Research Associate at the National Bureau of Economic Research

As Rotman Chair in Artificial Intelligence and Healthcare and Professor of Marketing at University of Toronto’s Rotman School of Management, Avi Goldfarb’s research focuses on the opportunities and challenges of the digital economy. Along with Ajay Agrawal and Joshua Gans, Dr. Goldfarb is the author of The Globe and Mail bestselling book Prediction Machines: The Simple Economics of Artificial Intelligence. He has published more than 70 academic articles in a variety of outlets on the topics of marketing, statistics, law, computing, and economics. This work has been discussed in White House reports, Congressional testimony, European Commission documents, The Economist, The Globe and Mail, the National Post, CBC Radio, National Public Radio, Forbes, Fortune, The Atlantic, The New York Times, the Financial Times, The Wall Street Journal, and elsewhere.

Dr. Goldfarb holds a Ph.D. and M.A. in Economics from Northwestern University and a B.A. in Economics from Queen’s University.

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