1. Overview of Generative AI in Power Platform
Definition of Generative AI: How it generates text, images, and more.
Relevance in Power Platform: Its role in enhancing productivity and innovation.
Integration with Microsoft AI models: AI Builder, Azure OpenAI
2. Use Cases of Generative AI in Power Platform
Power Apps:
Using Copilot to generate app screens and layouts.
AI-assisted app design and formula suggestions.
Power Automate:
Automating complex workflows using natural language.
Generating dynamic expressions and approvals with AI.
Power BI:
Using natural language to generate DAX queries and reports.
Creating AI-powered visualizations.
AI Builder:
Document processing with GPT models.
Text and image generation for business processes.
3. Features and Tools for Generative AI in Power Platform
Power Apps Copilot:
/Describe your app/ feature to auto-generate apps.
Adaptive layout suggestions.
Power Automate Copilot:
Automate workflows by typing instructions in plain English.
AI Builder:
Prebuilt models for sentiment analysis, entity extraction, and custom text generation.
Azure OpenAI models in AI Builder for custom solutions.
4. Benefits of Generative AI in the Power Platform
Enhanced Productivity: Reducing development time for citizen and pro developers.
Lower Learning Curve: Empowering non-technical users with natural language interfaces.
Cost Efficiency: Streamlining complex processes without expensive development resources.
Customization at Scale: Generating tailored outputs like emails, contracts, or proposals.
5. Real-World Examples and Demos
Scenario 1:
Creating a customer feedback app using Copilot in Power Apps.
Scenario 2:
Automating invoice generation and approval workflows with Power Automate and AI Builder.
Scenario 3:
Using AI-powered insights in Power BI for sales forecasting.
6. Challenges and Limitations
Data Sensitivity: Risks with data privacy in generative AI models.
AI Model Accuracy: Understanding and refining the generated outputs.
Integration Complexity: Challenges in connecting AI outputs with existing systems.
7. Roadmap and Future of Generative AI in Power Platform
Upcoming enhancements in Copilot features.
Expanding AI Builder capabilities with advanced models.
Deeper integration with other Microsoft AI services and tools.
8. Hands-On Activity (Optional)
A live demo of using Copilot to create an app or workflow.
Walkthrough of enabling and using AI Builder’s generative models.
