In this session presented by Ashley Asdourian, Tim Denley, and Don Scott at Microsoft Ignite 2025, partners learn to drive key AI use-cases using the full Azure tech stack and supporting resources.

Build Partner Advantage: Drive Key AI Use-Cases with Azure Tech Stack

Session Overview This Microsoft Ignite 2025 session provides an in-depth look at how Microsoft partners can leverage the Azure platform—app, data, and AI services—to offer effective solutions to customers.

Key Topics Discussed

  • Azure AI Applications & Agents: Techniques for building context-driven and automated agents using Azure AI, including deployment via Azure Web Apps.
  • Fabric Data Integration: Integrating Fabric data services for scalable and global applications.
  • Partner Collaboration & Expansion: Insights into Microsoft ecosystem partnerships with vendors like Adobe, Atlassian, and UI Path, plus extension of MCP tools to Office integrations.
  • Azure Foundry: Introduction to Foundry as a hub for reusable AI building blocks and automation.
  • Modernization & Ecosystem Growth: Emphasis on modernizing solutions and expanding the partner network to better serve customers.
  • Partner Resources & Certifications: Detailed overview of Azure specializations, Cloud Accelerate Factory, and recognition programs to boost technical and go-to-market impact.
  • Marketing & Funding Support: Guidance on customized marketing resources (e.g., Campaign-in-a-Box) and streamlined partner funding nomination and approval processes.

Resources

Speakers

  • Ashley Asdourian
  • Tim Denley
  • Don Scott

Session Chapter Highlights

  • Azure AI apps and global deployment strategies
  • Partnerships and MCP tool expansion
  • Foundry platform for AI innovation
  • Azure partnership choices and partner ecosystem growth
  • Specializations and marketing support for partners
  • Engineering collaboration via Cloud Accelerate Factory

Partners will come away understanding how to modernize offerings, apply for specializations, access engineering resources, and scale their AI solutions using the Azure stack.