AI-Powered Natural-Language Filtering & Visualization in Model-Driven Apps

See how to use AI-assisted filtering and instant chart creation in model-driven apps. We’ll cover tips to ensure filters are accurate, visualizations are relevant, and performance remains optimal.

Power Apps Plan Designer with AI Prompt: Revolutionizing Low-Code App Development

Discover how to accelerate your Power Apps development process by leveraging the Power Apps Plan Designer enhanced with AI-powered prompts. This session explores how artificial intelligence can assist you in designing robust app blueprints, generating optimized data models, and crafting intuitive user experiences—all with minimal manual effort. Learn practical techniques to harness AI-driven suggestions for app structure, business logic, and user interface elements, enabling faster prototyping and higher-quality solutions.

Whether you’re a seasoned pro or just starting with Power Apps, this session will provide actionable insights on integrating AI prompts into your app planning workflow, improving collaboration between business users and developers, and reducing time-to-value. Join us to unlock the future of low-code app design powered by AI innovation.

Mastering Plan Designer & Natural-Language Copilot in Power Apps

Explore the new Plan Designer and AI-powered Copilot features that let you design apps with plain language. Learn how to turn natural-language descriptions into functional components while applying governance and design best practices.

Using AI to Build Cloud Flows: Generative Actions & Expression Assistance

Learn how the new generative actions and AI-assisted expressions can speed up flow creation. We’ll cover best practices to ensure accuracy, maintainability, and proper error handling.

Building & Debugging Intelligent Agents: Testing, Prompts & Governance

Learn how to design, test, and refine Copilot agents with the new debugging tools and prompt guidance features. We’ll also cover governance practices to ensure compliance and quality.

Multi-Modal AI Builder: From Text to Images with Natural Language

Harness the new AI Builder capabilities to create images, analyze documents, and process data from a single natural-language interface. We’ll explore real use cases and deployment tips.

Grounding AI Agents with Dataverse Knowledge & External Data Sources

See how to connect AI agents to Dataverse and external data for richer, more accurate responses. We’ll focus on design patterns and performance optimization.

Admin Connector + Automation Center: Scaling Governance for Agent-Driven Solutions

Discover how the new Admin Connector and Automation Center enable proactive governance. Learn how to automate monitoring, enforce security, and streamline solution lifecycle management.

From Complexity to Clarity: Powering Intelligent Data Understanding with Microsoft Fabric Data Agent

Unlock real-time, intelligent data access through natural language and automation. How Microsoft Fabric Data Agents enable more intelligent and controlled data experiences.
Empowering secure, intelligent interactions with your enterprise data without writing a single line of code.

Architecting Dataverse Centric Power Platform Solutions with Microsoft Fabric Data Pipelines

Enterprises often run multiple operational systems with overlapping data, which leads to fragmentation and brittle point integrations. Microsoft Dataverse and Power Platform address app, automation, and experience needs, while Fabric and OneLake provide a unified data foundation for analytics and orchestration. This session presents an integration architecture where Fabric Data Pipelines move and transform source system data into Fabric Lakehouse storage, then project curated data into Dataverse as the operational backbone for Power Apps and Power Automate.

The session contrasts Dataverse native link options with Fabric driven patterns, and explains when to favor event driven Dataverse to Fabric links versus Fabric pipelines landing external data first. Patterns for reverse flows, such as copy activities and upsert pipelines that write enriched or scored data from Fabric back into Dataverse tables, also feature in the design. Attendees see how this approach supports medallion style data layers in Fabric while still presenting a clean, governed schema in Dataverse for low code solutions.
​

The session closes with design guidance on security boundaries, identity configuration, and ALM between Fabric workspaces and Power Platform environments. Example scenarios include CRM augmentation, IoT or telemetry ingestion, and advanced analytics outputs flowing into Dataverse to drive proactive workflows in Power Platform.

Learning objectives
Select when to use Fabric Data Pipelines, Dataverse link features, or both for integrating external systems into Dataverse.

Design end to end flows that land data in Fabric, standardize it through medallion layers, and surface curated entities in Dataverse for apps and automation.

Implement patterns for writing data from Fabric back into Dataverse using pipelines and upsert strategies, including identity, performance, and governance considerations.