Hyster-Yale – Core Concepts of Artificial Intelligence for Accounting Professionals
Description
Unlock the power of Artificial Intelligence for your accounting career with our comprehensive AI Core Concepts Course. Gain a solid foundation in AI components, terminology, and practical applications, empowering you to leverage AI tools and techniques for transformative financial analysis, decision-making, and business performance enhancement while navigating the ethical and regulatory landscape of AI in finance.
In-person and live webcast CPE credit: up to 3.0 (customizable)
On-demand / self-study CPE credit: 2.0
Learning Objectives
Upon completion of this course, participants will be able to:
Differentiate between AI components such as Machine Learning, Deep Learning, and Neural Networks, and identify appropriate models for finance and accounting applications.
Apply AI techniques to analyze financial data, integrate AI tools into accounting workflows, and evaluate AI-driven solutions for enhancing business performance and decision-making.
Identify ethical and regulatory considerations, assess potential risks, and implement strategies for responsible AI deployment and ensuring the integrity of AI-powered financial decisions.
Major Topics
Hands-on experience leveraging AI for deeper insights into financial data and enhanced decision-making
Real-world case studies showcasing AI applications in revenue analysis, financial planning, and business performance
Strategies for adopting an AI-driven mindset while navigating ethical and regulatory considerations
Best practices for managing AI risks, including bias, data privacy, security, accuracy, and reliability
Guidance on integrating AI tools into existing accounting workflows for improved efficiency and performance
Resources for continued learning and staying updated with AI advancements in the accounting and finance sectors
Provider
Business Learning Institute
Course Level
Basic
CPE Field of Study
Computer Software & Applications
4.0
Who Should Attend
Accounting and finance professionals and students, business leaders and decision makers
Instructor(s)
Glenn Hopper
Prerequisites
A foundational understanding of accounting principles and financial concepts
Familiarity with basic data analysis techniques and tools, such as spreadsheets and databases
Experience working with financial data and reports
An interest in exploring how AI can be applied to enhance accounting and finance processes
Basic knowledge of computer systems and software applications used in accounting and finance”
