2020 MMPA Conference: AI and Machine Learning for Complex Business Decision Making
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.
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)
Partner, Head of Trusted Data & AI Transformation, IBM, Chair, Trusted Data & AI Standards for Financial Services, IEEE. (Read bio)
Professor Kamran Khan
Professor of Medicine and Public Health, University of Toronto, Founder and CEO of BlueDot. (Read bio)
Professor Nada R. Sanders
Distinguished Professor of Supply Chain Management, D’Amore-McKim School of Business, Northeastern University. (Read bio)
CPA, CMA (Read bio)
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
Trusted Data & AI Playbook for Financial Services with Pavel Abdur-Rahman
Artificial Intelligence, Infectious disease, and Resilience from the Pandemic with Professor Kamran Khan
The Humachine: Humankind, Machines and the Future of Enterprise with Professor Nada R. Sanders
Research, Guidance, and Support: CPA Canada with Michael Lionais
Keynote Speech: Designing Intelligent Processes & Systems via Advanced Analytics with Professor Retsef Levi
Competing on Analytics: Business Strategy and AI with Professor Thomas Davenport
|View Slide Deck|
Thank you to our sponsors