Prerequisites:
To get the most out of this course, it is recommended that participants have foundational knowledge of business analysis through formal training or have relevant experience working in a business analysis context.
- Automating analytical tasks using AI assistants.
- Rapidly developing key project artifacts like charters, stories and models.
- Using natural language generators to accelerate documentation and prototyping.
- Training generative AI to simulate stakeholder.
- Interviews and surveys.
- Strategies and techniques for managing the vast content created by AI.
- Creating frameworks for validating and refining AI outputs for accuracy.
- Providing effective feedback to progressively improve AI understanding.
- Maintaining clear human oversight and control while leveraging AI capabilities.
- Developing ethical and responsible adoption practices for AI in business analysis.
Content
Topics and exercises covered in the course include:
- Understanding AI’s Role in Business Analysis
- Using AI to Jumpstart a Project
- Applying prompt engineering techniques to plan and refine a product
- Organizing AI-Created Content
- Transforming AI outputs and transforming them into coherent, valuable resources
- Crafting User Stories with AI
- AI and Stakeholder Interviews
- Training simulated interviews by taking on personas and responding to questions
- Potential Pitfalls and Social Risks
- Detecting “hallucinations” and critically evaluating and validating AI results
- Requirements Analysis and Solution Design
- Using AI to create many valuable BA artifacts such as process models and ERDs
- AI-Assisted UI Design
- Transforming AI outputs into visual representations to produce UI prototypes
- Writing Tests with AI
- Creating test scenarios and evaluating results to catch errors or gaps in coverage
- AI for Complete, Consistent, & Coherent Analysis
- Strategies for responsible creation of AI created artifacts under human supervision
- Creative Applications of Generative AI
- Using generative AI for writing, education and presentation design .
- Implementing AI-Driven Business Analysis
- Responsibly leveraging AI's potential in business analysis under human supervision
| Tuesday, January 28, 2025; 12:00 PM - 4:30 PM EST | |
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Wednesday, January 29, 2025; 12:00 PM - 4:30 PM EST
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Thursday, January 30, 2025; 12:00 PM - 4:30 PM EST
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$499
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IIBA Member Early Bird Price (until 1/17/25)
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619
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Guest Early Bird Price
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619
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IIBA Member Regular Registration Price (after 1/17/25)
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769
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Guest Regular Registration Price
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I've been involved in information technology and software development for my entire career. I'm a published expert in software testing and the creator of TAME - a model-driven platform for specifying and generating software tests. I delve deeper into the world of software design and architecture in the books I co-authored, Executable UML: A Foundation for Model-Driven Architecture and Applied SOA: Service-Oriented Architecture and Design Strategies.
In many professions, technologies and practices continually change. That’s why the agile philosophy is fundamentally about experimentation, curiosity, learning, and a willingness to try new things. So, to be an effective instructor, consultant, and course developer, I like to be continually hands-on, putting theory into practice.
This willingness to try new things spills over into my personal life. I love to travel, and I always try to visit new places. My partner and I have been to over 100 countries and became members of the Travelers' Century Club. When I'm not traveling, I'm learning and improving my craft – oh and talking. I'm a professional chatterbox.
