While many organizations are investing in AI experiences, unlocking structured and governed enterprise data for AI remains a significant challenge – even for teams that have already built modern data platforms.

Fabric data agents (now in public preview) are helping close this gap by enabling conversational, agentic interactions with your trusted data in Fabric; including Lakehouse, Warehouse, Power BI semantic models, KQL databases, ontologies, and Azure AI Search indexes built in Azure AI Foundry.

For data and technology leaders, this represents an opportunity to transform how business partners access insights while maintaining the governance and quality standards you’ve established.

In this session, we’ll share early insights from piloting Fabric data agents with our clients and help you identify the highest-value use cases where data agents can deliver meaningful business impact.

You will learn how to:

• Build the business case: Position data agents within your Fabric-enabled data and AI strategy with language that resonates across the organization
• Identify value-driven use cases: See demos of real-world scenarios that deliver measurable business outcomes—and evaluate fit for your environment
• Enable successful adoption: Apply public preview learnings and address critical prerequisites including governance, data readiness, and organizational change

Get ahead of what’s next. Come see what’s possible now, so you’re ready to have strategic conversations with business leaders—and capitalize on the latest Fabric data agent updates and announcements from Microsoft at FabCon in March.

This session is designed for data platform leaders, enterprise architects, and analytics directors who need to bridge technical capabilities with business outcomes.