AI and machine learning for complex business decision-making
Data is becoming increasingly complex, and the need for more real-time decision support means artificial intelligence (AI) and machine learning have a pivotal role to play in the future of accounting. Prepared in collaboration with the Master of Management and Professional Accounting Program at the Institute for Management and Innovation at University of Toronto Mississauga, this series highlights presentations and advice on AI and its impact on the CPA profession by leading academics, practitioners and innovators.
Download and read the following free papers to generate a competitive advantage with trusted AI as a CPA.
Part 1: From Excel to AI: The analytics evolution
Learn about the analytics evolution and the way CPAs in finance and audit need to adapt their analytics skillset to keep up with this rapidly changing field.
Part 2: Technology for problem solving
Study the application of AI in three use cases to overcome the digital transformation trap and avoid the common pitfall of falling in love with new technology.
Part 3: Systems thinking and a framework for applying AI
Gain insights to systems thinking—a critical-thinking competency for CPAs—and a framework for applying AI and machine learning to complex business decision-making.
Part 4: Data and trust
Examine data management value chains, new roles for CPAs, and initiatives to ensure that data and AI systems are used fairly, accountably and transparently.
Part 5: Humans, machines and humachines
Discover emerging organizations called humachines and the way CPAs’ human and technical skills can play a role in commercializing Canada’s AI start-ups.
Part 6: Moving to an AI advantage
Explore how companies move to an AI advantage and the steps CPAs can take to be future-ready.