Through detailed case studies, participants will learn how to access and utilize GPT Vision effectively, incorporating it into tasks like data visualization, text and object recognition from images, and the use of descriptive, diagnostic, predictive, and prescriptive (DDPP) analysis methods to enhance decision-making processes.

Applicable for: This course is designed for CPAs and accounting professionals seeking to stay ahead in the digital era, enhancing their practice with cutting-edge AI technologies.

Prerequisites - Knowledge, Experience or Courses: Basic familiarity with digital tools and a keen interest in AI innovations is recommended before taking this course.

Learning Objectives
By the end of this course, participants should be able to:

• Identify the capabilities and features of GPT Vision to enhance the understanding of how AI can analyze visual content in financial contexts.
• Explain the unique advantages of using visual data analysis over traditional text-based data processing in accounting practices.
• Demonstrate proficiency in accessing and navigating GPT Vision tools to analyze financial screenshots and documents effectively.
• Analyze various types of financial and operational images to extract meaningful insights that can influence decision-making processes.
• Evaluate the effectiveness of integrating ChatGPT with Google Maps and Google Earth for spatial analysis in financial and strategic contexts.
• Create strategies using descriptive, diagnostic, predictive, and prescriptive analysis techniques to address complex financial challenges using visual data.
• Apply learned photo-capturing techniques to produce high-quality images that maximize the accuracy and relevance of financial data analysis.

Content
The topics in this seminar include:

• Introduction to GPT Vision - Understanding the fundamentals of GPT Vision and its capabilities.
• Advantages of Vision Mode Research - Exploring the unique benefits of visual data analysis over traditional methods.
• Accessing GPT Vision - Guidance on how to access and utilize GPT Vision capabilities.
• Financial Screenshot Analysis - Techniques for analyzing financial documents and reports through screenshots.
• Operational Insights from Visual Data - Using images to gain insights into operational processes and asset management.
• Integration with Google Maps - Learning how to combine ChatGPT's vision capabilities with mapping technologies for enhanced spatial analysis.
• DDPP Analysis - Applying descriptive, diagnostic, predictive, and prescriptive analysis to visual data.
• Sentiment and Facial Expression Analysis - Techniques for interpreting emotions and sentiments in images to gauge client and employee feedback.
• Body Language Interpretation - Analyzing body language in images to understand non-verbal cues in business contexts.
• Effective Photo Capturing Techniques - Best practices for taking photos that provide optimal insights for financial analysis.

Presented by PD Partner: Garrett Wasny

What to Expect

• Two emails will be sent from CPA Manitoba following your registration: one to confirm your order and one including information on how to access the course through your Learning Hub. 
• Once sent, these emails can also be found in the Communication tab of your CPA Manitoba Member Portal.
• This course is designed for participants to view while following along with the course material provided. 
• This self-study course allows you to save your progress and return to continue at a later date.  
• A certificate of completion can be provided.*  

Access to this course will be available for 180 days after registration. After this time, access to the course will no longer be available.

*To receive a certificate of completion, users must complete all course elements including a short quiz at the end of the course. Unlimited quiz attempts are available until a passing grade of 80% or better is achieved. After you have achieved 80% or better, you will no longer be able to access the quiz. 

CPA Manitoba PD Terms and Conditions