Building an AI-Powered Organization
Transform your organization with analytics and AI
View session datesBuilding an AI-Powered Organization
About the program
This program is crucial for leaders aiming to transform their organizations by infusing analytics and AI into their operations. It offers a unique combination of a real-world case studies and practical frameworks, helping participants understand both the strategic and tactical aspects of AI integration. The focus on improving the success rate of AI projects and applying learned concepts to actual business use-cases sets this program apart, providing leaders with actionable insights and tools to drive their organizations' AI-driven transformation.
The program also focuses on how to develop fair, responsible, and ethical AI systems. It provides a deep understanding of the principles of responsible and ethical AI, applied through real-world case studies and practical tools. By focusing on actionable insights and reflective practice, the program empowers leaders to design and implement ethical AI decision-making systems, setting it apart as a vital resource for navigating the complex landscape of AI ethics and regulations.
Please note that in order to register for this program, you must first complete Queen’s Intro to AI and Generative AI Program or equivalent. For more information, please contact us.
In this program you will learn to:
- Understand both the strategic and tactical aspects of implementing AI initiatives
- Iteratively improve analytics and AI initiatives
- Apply a framework to increase the success rate of AI and analytics projects
- Develop principles for ideating, evaluating, and deploying analytics and AI opportunities
- Apply learned concepts to real-world use-cases from your own organization
- Gain a comprehensive understanding of responsible and ethical AI principles
- Utilize specific tools for thinking through the design of ethical AI systems
- Apply ethical principles to real-world case studies based on actual data
- Develop strategies for implementing and maintaining ethical AI practices in your organization
Available via live, in-person delivery
Attend the program in an immersive, in-person environment at SmithToronto, located in the heart of Toronto's downtown financial district at 200 Front Street West.
Who should attend
Managers, executives, and business leaders of any kind, within any functional area, sector, or industry.
Discounts Available
Registered Charities
Queen’s Executive Education is pleased to offer a limited number of discounted seats in every program to employees of Canadian registered charities. Check your eligibility to receive a registered charity discount
Volume Discounts
Queen’s Executive Education is pleased to offer a 15% discount for organizations that pre-pay for five or more seats on any of our programs within a 12-month period. Check your eligibility to receive a volume discount
A Recognized Symbol of Excellence
Participants who complete the program earn the Building an AI-Powered Organization digital badge credential.
Personal Benefits
- Learn how to effectively integrate analytics and AI into your organization
- Ensure higher success rates for AI project
- Identify and evaluate AI opportunities relevant to your specific business context
- Learn how to launch AI-based ventures through practical frameworks and real-world examples
- Learn how to manage risks and foster a culture of data-driven decision-making
- Gain a comprehensive understanding of responsible and ethical AI principles
- Learn practical tools for designing ethical AI systems
Organizational Benefits
- Equip leaders with strategies and frameworks to successfully integrate analytics and AI into their operations
- Reduce the risk of project failures
- Identify valuable AI opportunities and implement them strategically
- Effectively launch new AI-based ventures, driving innovation and competitive advantage
- Equip leaders with the knowledge and tools to develop fair, responsible, and ethical AI systems
- Ensure AI initiatives comply with ethical standards and regulations, fostering trust and sustainability in AI-driven decision-making processes
Program content
Over the course of two days, you will learn how to embed analytics and AI into your organization.
Day 1:
- Explore a case study of a legacy firm that transformed itself into a data and AI-driven organization
- Learn how leaders can improve the success of their investments in analytics and AI
- Discuss principles for ideating and evaluating analytics and AI opportunities
- Examine a framework to creatively identify opportunities and how to thoughtfully evaluate and plan analytics and AI initiatives
- Apply the main concepts to use-cases from your organization
- Discover a pragmatic approach to initiating and launching new AI-based business ventures
- Review how to foster a culture of data-driven-decision-making at the executive level
Day 2:
- Learn the principles of responsible and ethical AI
- Apply those principles to several detailed case studies based on real data
- Discover tools that will help you think through the design of ethical AI initiatives
- Practice using those tools within the context of detailed case studies
- Reflect on how to utilize the tools within your own organization
In-Person Learning
Learn alongside fellow participants from across the country, discovering best practices that span industries and sectors.
Our in-person programs include classroom learning sessions led by award-winning Smith School of Business professors and industry experts. Practice new skills in breakout sessions, projects and simulations, and apply your learning toward real-world case studies.
SmithToronto
SmithToronto is located on the 30th floor, 200 Front Street West in the heart of Canada's financial centre and is easily accessible by GO, subway and the PATH system.
Smith School of Business delivers many programs and classes at SmithToronto and it is home to the Master of Finance, Master of Management Analytics, Master of Management in Artificial Intelligence and Queen's Executive Education programs. The site includes classrooms, meeting rooms, staff offices, special events spaces, and a variety of multi-media presentation systems.
As well, it includes three Boardroom Learning Centres with fully interactive videoconference capabilities. These rooms are used to deliver classes for Smith’s Executive and Accelerated MBA programs.
Session Leaders
Session leaders include senior professors from Smith School of Business and knowledgeable experts from industry. These outstanding teachers are constantly in touch with today's business world through real-world business experience, Board memberships and their own consulting practices.
Murray Lei is an Assistant Professor of Management Analytics and a Distinguished Research Fellow at Smith School of Business, Queen's University. His research focuses on developing data-driven frameworks that enable companies to make dynamic decisions under uncertainty. Additionally, he investigates how data-driven analytics can be aligned with societal values, particularly in the areas of privacy, fairness, and sustainability.
Murray’s research has been published in top-tier peer-reviewed academic journals and is supported by various funding agencies. His achievements have been recognized through multiple awards, including the New Researcher Achievement Award. He has collaborated with leading global tech companies such as Alibaba, Instacart, Flipkart, Staples, and Oracle Retail Labs, where he has contributed to developing real-time, large-scale analytics solutions.
Murray’s teaching interests span Business Analytics, Artificial Intelligence, Operations Management, Supply Chain Management, and Revenue Management. He has extensive experience teaching these subjects across various academic levels, including professional graduate programs (such as Master's in Management Analytics), research-based graduate programs (M.Sc. and Ph.D.), and undergraduate courses.
With a unique ability to present technical topics in an easy-to-understand and inspiring way, Steve is a sought-after professor and AI expert at Queen’s University’s Smith School of Business. He leads both introductory and expert-level courses on multiple aspects of AI in undergraduate, graduate and executive education programs. He has been selected by students in the Master of Management Analytics as MMA Professor of the Year for the last three years running.
Holding PhD, MSc, and BSc degrees in Computer Science, Steve’s research focuses on analytics, machine learning, and natural language processing. His work has been published in leading journals including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Empirical Software Engineering, and others. In recognition of his work in the analytics and AI space, he was awarded a prestigious Scotiabank Scholar research grant.
Beyond teaching and research, Steve has run a big data startup company and conducted industrial operations research at Raytheon, a major U.S. defense contractor and commercial electronics company. He regularly consults with a wide range of organizations on the application of AI for best business outcomes.
Upcoming Sessions
200 Front Street West
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