Location
Date & TimeHow do we build an enterprise AI operating model that can scale intelligence—while controlling cost, complexity, risk, and business outcomes?
As enterprises accelerate AI adoption, the conversation is rapidly shifting—from experimentation to operationalization at scale.
CIOs today are navigating a new reality and AI is no longer a set of pilots, it is becoming a core operating layer of the enterprise.
But with this shift comes new questions:
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How do we manage AI economics as consumption scales? |
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How do we architect for thousands of agents and workloads? |
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How do we ensure governance, visibility, and control in an increasingly autonomous environment? |
An Invitation to Reimagine AI at Scale
IBM and Tech Data, in association with StrategINK, invite you to an exclusive CXO Power Breakfast roundtable bringing together a curated group of technology leaders.
This is not a large gathering but a cohort of experts in a focused, executive dialogue designed to move beyond ideas into real, scalable AI operating models.
This closed door discussion is designed to explore the emerging concept of the:
With the Token Economy as a provocative lens into the future of enterprise AI, the roundtable will focus on how organizations can rethink consumption, infrastructure, governance and value creation.
| 01 |  |
AI Economics
What happens when tokens become a new unit of enterprise consumption?
| 02 |  |
AI at Scale
How do enterprises move from hundreds of pilots to thousands of AI agents and workloads?
| 03 |  |
Infrastructure
What architectural shifts are required as AI workloads and inference scale exponentially?
| 04 |  |
Data Foundations
How do enterprises build real-time, governed data ecosystems that AI agents can rely on?
| 05 |  |
Governance & Control:
How can organizations maintain visibility, accountability, and risk control in autonomous systems?
| 06 |  |
Portfolio & ROI
How should CIOs prioritize AI investments and measure business value at scale?
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