Who should attend
Leaders and managers who use and consume data or analytics, who rely on data and AI for decision making, or who want to leverage new technologies for a more data-driven and evidence-based strategy will have the most to gain from this program.
About the course
Transform complex business challenges into new opportunities with AI and machine learning.
If your firm hasn't yet developed an AI business strategy, it's not too late to start. The right combination of technology and talent is an ongoing challenge for all organizations, and even non-technical managers and directors can contribute to strategies for data analytics, AI, and machine learning that stays ahead of the competition.
Rotman's Put AI to Work: Managing with Machines program provides you with practical insights from the TD Management Data and Analytics Lab on topics at the forefront of these emerging fields and their current applications. In two days, our expert faculty will help you leverage artificial intelligence and big data to set strategy and best practices, adapt your systems and manage talent to solve ever-more complex business challenges.
This course is not technical and does not require programming knowledge or a computer science background. However, a familiarity with basic data interpretation will be helpful in our discussions.
With the massive opportunities presented by AI, good leaders know that smart innovation will always involve humans. Pairing human-centric methods with AI tools will be very powerful no matter what your goals are, and we can help you get started. Our program incorporates design thinking to show you how to design AI systems that actually work.
Practical learning you can apply right away
Rotman’s Put AI to Work: Managing with Machines program helps you get started with practical steps to move along your AI strategy.
- Understand the current landscape of big data, artificial intelligence and machine learning
- Learn how to put AI to work in your organization and how you can benefit from it
- Establish how to synthesize the output from an AI algorithm to make better business decisions
- Learn how to leverage design thinking to build long-term solutions that work
- Introduction to AI
- AI in the landscape of big data
- What machine learning can do for your business
- How humans fit in
- Neural networks
- Welcome reception
- Managing with machines
- Industry guest speaker
- Business design and machine learning
- The future of AI
- Webinar check-in
- Briefing on new, emerging trends
Associate Professor of Business Economics Degrees:PhD, University of California Los Angeles MA, University of California Los Angeles MA, Pontificia Universidade Catolica - Rio de Janeiro BA, Universidade de Sao Paulo Bernardo Blum is an Associate Professor of Business Economics at Rotman. He teac...
My research focuses on the economics of innovation, incentive contracts and industrial organization. I''m interested in how the organization of industries and the nature of contracts impacts incentives to innovate, and how in turn the technology that comes from innovation impacts the organization...
Dr. Angèle Beausoleil is a 'pracademic' who teaches design methodologies for business innovation and leads field (action) research inside organizations on innovation process design, navigation and management. A former communications designer, senior strategist and innovation lab executive, she ap...
Brian Keng is the Chief Data Scientist at Rubikloud Technologies and an Adjunct Professor in Data Science at the Rotman School of Management, University of Toronto. At Rubikloud, he leads a team using AI and machine learning to build intelligent decision automation systems for some of the world's...
Videos and materials
Read more about Business Analytics
Read more about Digital Transformation
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.