Turn data into a decision-making advantage
CxO Data brings together executives, data leaders and board members to examine how data becomes a genuine source of competitive advantage — governed, trusted and put to work. The day is built around three themes: becoming data-native before you become AI-native, executive accountability for data, and data infrastructure as competitive power.
Innofactor is a sponsor of CxO Data 2026. We'll be on stage and at our stand throughout the day, ready to discuss what it actually takes to move from dashboards to decisions.
Explore the full CxO Data 2026 agenda at professioexecutive.com.
Our keynote: Closing the value gap
11:15 — Closing the Value Gap: Turning Data into Operational Impact with Microsoft Fabric Agents
Most organizations already have the data platform, the reports and the governance model. What's missing is the last step — getting from a dashboard someone looks at to a decision someone makes. In this keynote, Mikko Kutvonen shows how Microsoft Fabric data agents put conversational access on top of your existing Fabric, Power BI and governance investments, so business users can explore data in their own words and act on it faster.
You'll take away:
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What Fabric data agents are, and where they fit in a modern data estate
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How conversational access widens data use beyond the analytics team
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How to reuse existing Fabric and Power BI assets instead of building a parallel AI stack
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How to move from pilot to governed production — with a human in the loop on every decision
Meet the speaker: Mikko Kutvonen
Business Unit Director, Data and Analytics, Innofactor
Mikko helps organizations turn complex data into clear, actionable insight, and leads Innofactor's Data and Analytics business. He works with executive teams on how data platforms create measurable business value — and on the governance and operating models that keep that value durable.
Visit our stand
Our experts are at the Innofactor stand for the whole day. Stop by to:
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Review your data platform roadmap — Microsoft Fabric, Power BI, governance
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Discuss where AI agents fit your data estate, and where they don't yet
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See real customer examples and the lessons that came with them
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Talk through the step from experimentation to measurable business value
