Demystifying Artificial Intelligence



Demystifying Artificial Intelligence

Instructor: Vadas Gintautas

  • Format

    Course - Online

  • Duration


A practical overview of artificial intelligence, machine learning (ML), and deep learning (DL).

Learning outcomes

  • Recall basic concepts related to AI.
  • Recognize the importance of AI.
  • Identify current practical applications of AI (including use cases in audit, accounting and finance).
  • Recognize AI capabilities.
  • Recognize the importance of data in AI applications.

£95.00 (CIMA members only)


VAT calculated on checkout

Product information


Time to demystify artificial intelligence

The term AI has been in the news for decades, inspiring a mystique that has rarely lived up to the expectations...until now!

AI now offers the potential to revolutionize the way we do business — from reinventing customer experiences to predictive forecasting to prescriptive marketing approaches.

A practical understanding

Demystifying Artificial Intelligence provides a practical overview of artificial intelligence, machine learning (ML), and deep learning (DL).

You will be introduced to key concepts and capabilities, as well as the fundamental knowledge needed to understand the AI revolution from a business perspective. Real-world examples and use cases will be used to explain and illustrate concepts throughout the webcast

Key topics:

  • Differences between AI, ML and DL
  • Benefits of artificial intelligence
  • AI applications and capabilities and how AI drives a competitive advantage.
  • Explanation of the importance of data in AI applications
  • Industry drivers and real-world examples of AI

Who should take this course?

  • Finance executives and managers
  • Aspirational finance leaders
  • Accounting and finance professionals globally

Professional development

This Course - Online offers 5 hours of CPE credit.
Note on CPE Requirements and Credits
All learning resources available in the CGMA Store qualify for CPD for CIMA members.

Format:Course - Online
Access:This is a digital product. You will have access to the content for a year after purchase date.

Return and refund policy

£95.00 (CIMA members only)


VAT calculated on checkout


  • Vadas Gintautas

    Vadas Gintautas completed a Ph.D. in Physics from the University of Illinois, specializing in complex systems and nonlinear dynamics. His postdoctoral work was at Los Alamos National Laboratory, working on biologically inspired neural network models using Roadrunner, which was the most powerful supercomputer in the world at the time. After working as a physics faculty member at Chatham University for 4 years, he switched to a career in industry, at BAE Systems FAST Labs as a research scientist. He currently leads the Emerging Machine Learning Analytics section, working on topics that span information theory, machine learning, and artificial intelligence.