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Driving Scalable AI Adoption

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Swiss AI Summit
Swiss AI Summit

Press , Swiss AI Summit

Sergio Gago
Sergio Gago

CTO , Cloudera

Published on:

February 12, 2026

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3 minutes

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Driving Scalable AI Adoption

From Financial Systems to Frontier Tech

Why AI Agents Are Moving Into the Enterprise

At the Swiss AI Summit 2025, Sergio Gago explored the rapid rise of AI agents and why organizations are increasingly investing in them. While early prototypes are easy to build, enterprise deployment introduces entirely new challenges around governance, security, and ROI.

AI agents, Sergio argued, must be understood as systems that reason, remember, use tools, and plan actions - not just chat interfaces.

Scaling Requires Governance, Not Just Innovation

A key message of the keynote was that AI agents must be treated like employees. They require defined roles, access rights, monitoring, audit trails, and accountability. Without these controls, agent systems quickly become risky and unmanageable.

Sergio also highlighted the importance of integrating agents into existing data pipelines. Many organizations had strong governance for BI and ML, only to abandon discipline with the rise of GenAI: a mistake that now blocks scalability.

Sovereignty, Control, and Long-Term Advantage

Relying entirely on external AI providers introduces strategic risk. Sergio emphasized the importance of private, controlled deployments and sovereign AI approaches, particularly for regulated industries. Organizations that build governed “directories” of artificial employees will gain a lasting competitive advantage. 

👉 Watch the full keynote on YouTube:

https://youtu.be/oL_nQmA1RY8

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