What It Takes to Successfully Deliver an AI Program

The Saskatchewan Chapter is pleased to invite you to another low-cost high-value Professional Development Presentation

In-person breakfast Presentation followed by the Saskatchewan Chapter AGM (attendance for AGM optional)

Earn 1 CPD credit

Topics discussed

  • AI Overview – key concepts and terminology
  • Capabilities of AI systems (what they can and cannot do)
  • AI use cases in finance and public sector
  • Considerations for successful AI adoption (and unsuccessful adoption) including the role of CFO / FinanceDepartments and Boards
  • Emerging trends
  • Key takeaways

Event details

  • Includes a hot breakfast
  • Delta Hotel 1919 Saskatchewan Drive, Regina, SK
  • Cost is $65 Early Bird available until August 29 
  • $75 Regular rate August 30

For more information, please contact: saskatchewan@fmi.ca

The registration deadline for this event is 12:00pm (CST) Thursday September 12th ,2024

Speakers

Adam Asquini

Director, Transformation Delivery Services at KPMG

Adam Asquini is a Director in KPMG’s Management Consulting practice, leading service delivery teams in Artificial Intelligence, Information Management and Data Analytics. He has 16 years of consulting and industry experience in digital transformation, information technology service delivery and applied artificial intelligence engagements.

He has successfully delivered several technology projects for mid-market to large enterprise clients in roles ranging from project manager to quality assurance lead across a variety of industries: public sector (federal, provincial and municipal), energy, forestry, financial services, supply chain and retail. Prior to joining KPMG Canada, Adam was the Vice President, Customer Solutions at AltaML – an applied artificial intelligence company – and was responsible for the company’s delivery and account management functions. In this capacity he provided leadership as a Project Manager, Engagement Lead or Quality Assurance leader on over 100 applied artificial intelligence use cases across the Artificial Intelligence lifecycle.