AI at Scale
From Pilots to Platforms
Many organizations have moved beyond asking whether AI has potential. The harder question now is how to move from isolated experiments to scalable, governed, enterprise-ready AI capabilities. This session will explore what it takes to transition from promising pilots to sustainable AI platforms that create measurable business value.
Participants will examine the organizational, technical, data, governance, and change management considerations required to scale AI responsibly across the enterprise.
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Description
AI pilots are often launched by motivated teams, funded through innovation budgets, and measured by proof-of-concept success. Scaling AI is different. It requires durable platforms, trusted data, repeatable delivery models, clear ownership, risk management, and alignment with enterprise strategy.
In this session, we will discuss how organizations are approaching the shift from experimentation to operationalization. Topics may include AI platform strategy, use case prioritization, data readiness, governance models, operating models, talent and upskilling, vendor and technology decisions, and the role of business leadership in driving adoption.
The conversation will focus on practical lessons learned, common barriers, and the decisions leaders must make to move AI from pockets of innovation into everyday business capability.
Key Learning Outcomes
By the end of this session, participants will be able to:
- Identify the key differences between AI pilots, production AI solutions, and enterprise AI platforms.
- Recognize common barriers that prevent organizations from scaling AI beyond experimentation.
- Describe the data, technology, governance, and operating model capabilities needed to support AI at scale.
- Evaluate how to prioritize AI use cases based on business value, feasibility, risk, and readiness.
- Understand leadership actions that help build trust, adoption, and accountability for enterprise AI.
- Apply lessons from peer organizations to assess their own organization’s AI scaling journey.