2020 MMPA Conference: AI and Machine Learning for Complex Business Decision Making

Thank you for attending the MMPA 2020 Virtual Conference! On-demand recordings are now available. Click to learn more

 

Thank you for Attending the MMPA 2020 Virtual Conference

Many thanks to all those who attended our 2020 MMPA Conference, “AI and Machine Learning For Complex Business Decision Making”. Our speakers challenged us to think about the role of AI in Accounting, noting that AI is one of many tools in the Accountant’s toolbox (but not the only one).

AI “solutions” can break a budget (or worse) when a more effective lower-tech solution is overlooked, a problem isn’t defined properly, AI is siloed (instead of “systemized”) and data is not well understood.

Repeatedly, we heard that we can’t predict the future with historical data. Powered by human curiosity, creativity, ingenuity we learned that human-augmented AI is the most effective tool to predict pandemics, optimize supply chains, and assist with complex decision making. Accountants have roles to play in AI interpretation, explainability, standards, trust, and ethics, data cleansing, and overcoming “analysis paralysis”.

Accountants’ enduring human capabilities can power the tools of AI and machine learning for complex business decision making as well play an integral role in the data management value chain.   

On-Demand Recordings Available to Watch on Youtube. Click to Watch

 

Featured speakers

Retsef Levi Headshot

Professor Retsef Levi

J. Spencer Standish (1945) Professor of Operations Management at the MIT Sloan School of Management, Co-Director of the MIT Leaders for Global Operations, MIT. (Read bio)

Pavel Abdur-Rahman Headshot

Pavel Abdur-Rahman

 Partner, Head of Trusted Data & AI Transformation, IBM, Chair, Trusted Data & AI Standards for Financial Services, IEEE. (Read bio)

Karman Khan Headshot

Professor Kamran Khan

Professor of Medicine and Public Health, University of Toronto, Founder and CEO of BlueDot. (Read bio)

 

Professor Nada R. Sanders Headshot

 Professor Nada R. Sanders

Distinguished Professor of Supply Chain Management, D’Amore-McKim School of Business, Northeastern University. (Read bio)

 

Michael Lionais Headshot

Michael Lionais

 CPA, CMA (Read bio)

 

Professor Thomas Davenport Headshot

Professor Thomas Davenport

President's Distinguished Professor of Information Technology & Management, Babson College, co-founder of the International Institute for Analytics. (Read bio)

 

Keynote and Speakers Agenda

01          

Trusted Data & AI Playbook for Financial Services with Pavel Abdur-Rahman

                                                                 
02      

Artificial Intelligence, Infectious disease, and Resilience from the Pandemic with Professor Kamran Khan

View Slide Deck

03    

The Humachine: Humankind, Machines and the Future of Enterprise with Professor Nada R. Sanders

View Slide Deck

04

Research, Guidance, and Support: CPA Canada with Michael Lionais

View Slide Deck

05 

Keynote Speech: Designing Intelligent Processes & Systems via Advanced Analytics with Professor Retsef Levi

View Slide Deck

06

Competing on Analytics: Business Strategy and AI with Professor Thomas Davenport

View Slide Deck

On-Demand Recordings Available to Watch on Youtube. Click to Watch

 

Thank you to our sponsors

 

University of Toronto, Mississauga Institute for Management & Innovation Logo

 

MMPA - Master of Management & Professional Accounting logo

 

CPA - Chartered Professional Accountants logo

 

BIG Data AI HUB logo