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Artificial Intelligence for Accounting and Finance Professionals

Artificial Intelligence for Accounting and Finance Professionals

The term Artificial Intelligence (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 prescriptive forecasting leading to a significant competitive advantage.

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NASBA Field of Study

Information Technology



CPE Credits



Joyce Shen, Vadas Gintautas


3 months

Product Number


 Business & partner 
Product Details

Prepare for the Artificial Intelligence revolution

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 and predictive forecasting to prescriptive marketing approaches.

This dynamic webcast series is designed to provide you with a practical understanding of AI today, what powers AI and a roadmap to begin your Artificial Intelligence (AI) journey. AI is considered the fastest moving technology in history, so stay ahead of the curve and prepare for the revolution by exploring the possibilities of what AI can do for your business or firm and how it can and will increase your competitive edge.

This webcast series includes Part 1: Demystifying Artificial Intelligence and Part 2: Roadmap to Artificial Intelligence.

CPE credit hours are subject to final review and may increase.

Who Will Benefit
  • Finance executives
  • Controllers
  • CFOs
  • Aspirational leaders
  • Accounting and finance professionals globally
Key Topics
  • Differences between AI, Machine Learning (ML) and Deep Learning (DL)
  • Benefits of Artificial Intelligence
  • AI applications and capabilities and how it drives a competitive advantage
  • Industry drivers and real-world examples of AI
  • Focuses on the importance of a data-driven AI strategy
  • What is an AI strategy for the enterprise?
  • Considerations for an AI strategy
Learning Outcomes
  • Recall basic concepts related to AI.
  • Recognize the importance of AI.
  • Identify current practical applications of AI.
  • Recognize AI capabilities.
  • Recognize the importance of data in AI applications.
  • Recognize how AI can be applied to a business problem.
  • Recognize data management considerations when developing an AI strategy/plan.
  • Recognize situational risks and ethical considerations when developing an AI strategy/plan.
Upcoming Webcast Dates
More Details
NASBA Field of Study
Information Technology, Specialized Knowledge
This is a digital product. With full paid access the content will be available to you for 3 months after purchase date.
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Contact us
Joyce Shen
Joyce is currently the investment director and operating partner at Tenfore Holding leading enterprise software and big data investments. Outside Tenfore, Joyce is a faculty of data science at UC Berkeley. Joyce was previously the global managing director of emerging technologies and venture investments in the CTO office at Thomson Reuters where she built and led global emerging tech partnerships program and the emerging technology venture fund. During her tenure, she led new product innovations in fintech, IoT, and emerging data solutions, established the global blockchain program, and made eleven early-stage investments. Before Thomson Reuters, Joyce was the founding global CFO of IBM Cloud Platform managing $1B P&L. She also spent several years in IBM Corporate Development leading acquisitions and divestitures exceeding $6B in total transaction value. Joyce received her undergraduate and masters degrees from the University of Chicago.
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.

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