The curriculum covers a wide range of applications, from understanding GPT Vision and its unique benefits to leveraging aerial and street view imagery for comprehensive financial analysis. 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. 

Content 
The major topics that will be covered in this course 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.
• 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.

Learning Objectives 
After attending this presentation, you will 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.
• Recognize the unique advantages of using visual data analysis over traditional text-based data processing in accounting practices.
• Access 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.

Who Will Benefit 
The course is designed for CPAs and accounting professionals who want to incorporate AI-driven visual data analysis into their financial management processes 

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.
• Course materials, links and credentials can be found in your Learning Hub no less than two business days prior to the seminar.
• This is a Live Virtual seminar where class size has been limited to allow for an interactive learning environment.
• This seminar will not be recorded.
• Live webinars have varying levels of expected interaction, with many requiring webcam and microphone capabilities. 
  
  If you have concerns about the interaction required for this course or any other questions about this course, please email [email protected].  
  
  CPA Manitoba PD Terms and Conditions: https://cpamb.ca/pd/pd/Terms-and-Conditions.aspx
  For questions regarding this course, including registration and access, email [email protected].