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Roadmap to Artificial Intelligence
Technology
Webcast

Roadmap to Artificial Intelligence

Roadmap to AI, part of the Artificial Intelligence for Accounting and Finance Professionals Series, is designed to open your mind to the genesis of your own AI strategy and provide a practical understanding of the implications and considerations to the enterprise AI journey.

Do you have an AICPA or CIMA membership? Log in to apply your member discount.

Format

Webcast

NASBA Field of Study

Specialized Knowledge

Level

Basic

CPE Credits

4

Instructor

Joyce J. Shen

Availability

3 months

Product Number

WC4178917

 View  
 Business & partner 
Product Details

Artificial intelligence strategy & application

Roadmap to Artificial Intelligence (AI) is the second part of a webcast series designed to breakdown the complexity of AI and give actionable steps to consider towards your AI journey. This webcast will relate business problems with an AI solution using specific examples and use cases to illustrate challenges, and pitfalls.

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

Who Will Benefit
  • Accounting and finance professionals, who have the need or desire to understand the steps in an AI journey and how it will impact the accounting and finance profession.
  • Practitioners that serve or advise clients and would like to understand the impact of AI.
  • Managers, decision makers and aspirational leaders looking to understand the steps to consider in their journey to AI.
Key Topics
  • Practical applications of enterprise AI
  • Focuses on the importance of a data-driven AI strategy
  • What is an AI strategy for the enterprise?
  • Solving business problems with AI
  • Considerations for an AI strategy
  • Recognize a business case for AI and the implications to consider
Learning Outcomes
  • Recall current applications of AI.
  • Recall the difference between AI applications and capabilities.
  • Recall the importance of data in AI applications.
  • Recognize how AI can be applied to a business problem.
  • Identify necessary considerations when developing an AI strategy/plan.
  • Recognize operational considerations when developing an AI strategy/plan.
  • Recognize data management considerations when developing an AI strategy/plan.
  • Recognize situational risks and ethical considerations when developing an AI strategy/plan.
  • Given a scenario, identify a business case for AI and implications to be considered when developing a strategy/plan.
More Details
NASBA Field of Study
Specialized Knowledge
Level
Basic
Prerequisites
None
Access
This is a digital product. With full paid access the content will be available to you for 3 months after purchase date.
Duration
4
Pricing
Do you have an AICPA or CIMA membership? Log in to apply your member discount.

Group ordering for your team

2 to 5 registrants

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Start order

6+ registrants

We can help with group discounts. Email client.support@aicpa-cima.com
US customers call 1-800-634-6780 (option 1)

Contact us
Speakers
Joyce J. Shen
Joyce Shen is a venture capital/private equity investor and business builder. She has extensive strategy and operational experience and deep knowledge in incubating, investing in, growing, and managing new businesses in both global public companies and early to growth stage technology startups. With significant cross-functional experience that spans venture capital/private equity investing, technology M&A, CFO/FP&A, corporate strategy, technology and product innovation, operations, and go-to-market, Shen has partnered with companies of all sizes to build strong teams, unlock growth levers, implement innovative technology and data-driven business cases, and establish strong financial and operational rigor for success. Shen’s technical expertise centers around emerging technologies for enterprises, big data and analytics, machine learning and AI, and cybersecurity. She has published books on technology and innovation and is a patent holder on detecting and locating unsecured sensors in critical infrastructures. Shen received bachelor's degrees in both statistics and economics from The University of Chicago and an MBA with concentrations in quantitative finance, entrepreneurship, and strategy from The University of Chicago Booth School of Business.
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