AI is no longer just generating answers. It's beginning to make recommendations, automate decisions, and take action on behalf of the business.
As organizations move from AI experimentation to operational AI, a critical challenge is emerging: Can AI understand the business context behind the data well enough to act reliably and intelligently?
In this executive conversation, Roy Hasson, Sr. Director of Product for Microsoft Fabric, and Jesper Grode, Sr. Director of Product Innovation at Stibo Systems, explore why trusted business context is becoming the foundation for enterprise AI success.
What you'll learn:
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Why agentic AI introduces new risks and responsibilities for CIOs and business leaders
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What "business context" means and why it matters more than AI model selection
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How master data management creates a digital twin of the business
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Why AI agents depend on golden records and shared business definitions
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Who owns truth when AI systems begin making recommendations and decisions
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What C-level leaders should prioritize before scaling AI initiatives
If your organization is preparing to scale AI initiatives, this discussion explores how trusted business context, master data, and governance help AI deliver consistent, business-ready outcomes.
Please note the contact information submitted via this form will also be shared with Microsoft.
