Turn trusted enterprise data into faster decisions and operational impact.

Your organization may already have the data, dashboards and analytics foundation. The next challenge is making trusted insight easier to access and apply in daily decisions.

Join Mikko Kutvonen and Carl Räihä to explore how Microsoft Fabric data agents can give users a natural-language way to work with governed enterprise data while building on your existing Fabric, Power BI, security and governance investments.

✔️ In this webinar, you will learn how to:

• Make governed enterprise data easier for business users to access and understand

• Bring analytics closer to operational decision-making

• Build data-agent use cases on your existing Microsoft Fabric foundation

• Reuse semantic models, permissions, governance and capacity

• Avoid unnecessary duplication of pipelines and access models

• Move from isolated experiments toward governed and scalable business use
  
  

👤 This webinar is for you if:

• You use Microsoft Fabric, Power BI or other Microsoft data services

• You are responsible for data, analytics, AI, finance or business operations

• You want more measurable value from existing data investments

• You are evaluating how AI agents can be introduced securely and cost-consciously

• Your organization needs to move beyond dashboards or isolated AI pilots

Why this matters now

Move from trusted data to better decisions

Many organizations have invested in modern data platforms and AI, but still face a gap between having insight and using it in daily operations. Fabric data agents can help reduce that gap by making governed data easier to explore through natural-language questions.

Because they build on the existing Fabric foundation, organizations can evaluate valuable AI use cases without creating a separate data, security and governance model for every new agent experience.

📅 Save your seat

📅 Tuesday 22.9.2026

⏱ 09:00-10:00 CEST⏱ 10:00-11:00 EEST

👉 Register now by filling the form.

 👤 Presenters

Mikko Kutvonen, Business Unit Director, Data and Analytics, Innofactor

 Carl Räihä, Principal Architect, Innofactor