Microsoft Fabric & Foundry AI Agents Webinar | ProArch
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Build Enterprise AI Agents with Fabric & Foundry
Join ProArch and Microsoft experts for a two-part webinar series that shows how organizations can move from connected enterprise data to intelligent AI agents—using Microsoft Fabric as the data foundation and Microsoft Foundry to bring reasoning, context, and action into AI experiences.
Microsoft Fabric : Building the Data Foundation for Enterprise AI
Wednesday, October 28, 2 PM EST
Speakers
Venkatesh Rajupalepu
VP, Solutioning & Technology
ProArch
Swathi Priya Mannepalli
Sr. DSE, Data & AI / Fabric
Microsoft
In this session, we’ll use a Contract Intelligence example to show how Microsoft Fabric turns fragmented enterprise data into an AI-ready foundation for copilots and agents.
What we’ll cover:
- Turning fragmented data into trusted, business-ready information using OneLake, Lakehouse, and Warehouse
- Adding business context through semantic models, KPIs, relationships, and rules
- Using the same semantic model across Power BI, Copilot, and AI applications
- Enabling users to ask business questions in natural language using Fabric Data Agents
- Creating a governed data and context foundation for advanced AI agents that can reason, investigate, recommend, and act
Key Takeaways:
- Build a trusted, AI-ready enterprise data foundation in Microsoft Fabric
- Add business context through semantic models, KPIs, relationships, and rules
- How a governed foundation can be extended across AI applications
- Enabling Natural-language access with Fabric Data Agents
- A Fabric environment prepared for AI agents that can investigate, recommend, and act
Microsoft Foundry : Turning Enterprise Data into an Intelligent AI Agent
Wednesday, November 18, 2 PM EST
Speakers
Venkatesh Rajupalepu
VP, Solutioning & Technology
ProArch
PJ Bhakta
DSE, Apps & AI
Microsoft
Srinivas Kasu
DSE, Apps & AI
Microsoft
Building on Part 1, this session will show how Microsoft Foundry and Fabric IQ turn trusted enterprise context into AI agents that can investigate, reason, recommend, and act.
What we’ll cover:
- Using Fabric’s semantic foundation to give AI agents trusted business context
- Representing enterprise concepts, relationships, and business meaning in Fabric IQ
- Connecting semantic models, ontologies, Fabric Data Agents, and Foundry Agents within a single enterprise AI architecture
- Combining business context, enterprise knowledge, tools, and governance rules with Foundry Agents
- Moving AI agents from recommendations to controlled, governed actions
- Applying identity, security, governance, observability, and human approval across the agent architecture
Key Takeaways:
- Enterprise AI architecture across Fabric semantic models, Fabric IQ, and Microsoft Foundry
- Enterprise data, knowledge, models, and tools combined for agents that can investigate and recommend
- A clear path from analytics and conversational AI to agents that can recommend and act
- A governed architecture for building responsible enterprise AI agents
