The course provides a concise overview of how accounting professionals can leverage ChatGPT, OpenAI's powerful language model, to innovate and enhance their business advisory services. In plain language the presentation integrates theory and practice, and demonstrates how various enterprise evaluation methodologies can be applied in combination with ChatGPT to sharpen your business analysis and increase your organization’s efficiency, profitability, and growth. The session also provides hands-on training for implementing these techniques in real-world scenarios. You'll walk away with a foundational understanding of how to apply ChatGPT in accounting research, and transform traditional practices into innovative solutions that drive success.

Topics covered:

● Introduction to ChatGPT and its applications in the business advisory context

● In-depth exploration of enterprise evaluation methodologies like SWOT, PESTLE, BCG Matrix, McKinsey 7S Model, Ansoff Matrix, and more.

● Practical case studies demonstrating application of ChatGPT in accounting business analysis

● Key challenges faced by accounting firms and how ChatGPT can help overcome these

● Best practices for implementing AI tools in the accounting sector

● Future opportunities and trends in AI-enhanced business advisory services

Learning objectives:

● Understand the core functionalities of ChatGPT and its applications in business advisory services

● Analyze accounting firm challenges using a variety of enterprise evaluation methodologies

● Develop strategies to overcome identified challenges and enhance profitability and growth using ChatGPT

● Evaluate the efficiency of these strategies in real-world contexts

● Create innovative solutions leveraging ChatGPT for unique business scenarios

Target audience:

This course is ideal for business advisors, financial analysts, accountants, consultants, and business owners who are interested in leveraging AI tools to enhance their service offerings and efficiency. It is also suitable for students and researchers in the field of AI, data science, and business administration who want to understand the practical applications of AI in the business advisory domain.

Prerequisite knowledge:

Participants should have a basic understanding of business analysis and advisory services. Knowledge of accounting principles and a general understanding of artificial intelligence will be helpful, but is not necessary as these concepts will be reviewed during the course.