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About this talk
As AI expands across teams, systems, and workflows, the challenge is no longer innovation. It's maintaining visibility, control, and trust as AI scales across the enterprise.
Many teams find themselves asking:
- Where is AI being used?
- Who is accountable for it?
- What could go wrong?
- How do we maintain control without slowing innovation?
The challenge is no longer whether AI works. The challenge is ensuring AI remains visible, governed, and accountable as it becomes embedded in day-to-day operations.
In this session, Melissa Cohoe, Global Strategist for Security, Risk & Resilience at NewRocket, will share five practical ways leading organizations are maintaining control as AI scales across the enterprise. Drawing on real-world governance, risk, and operational challenges, she'll explore how leading organizations are creating the visibility, accountability, and assurance needed to scale AI with confidence.
You'll learn:
- How to establish visibility across your growing AI estate
- How to create clear ownership and accountability for AI systems and agents
- Why AI must be managed as a lifecycle, not a one-time deployment
- How orchestration becomes critical as AI environments grow more complex
- How continuous assurance helps identify and address issues before they become larger problems
- What leading organizations are doing to maintain governance without slowing innovation
Melissa will also introduce a practical framework for managing AI as an integrated system, connecting data, models, agents, and workflows into a coordinated operating model that enables organizations to scale confidently while maintaining visibility, control, and trust.
Attendees will leave with a clearer understanding of what can go wrong as AI scales, and the practical steps organizations can take to keep AI visible, accountable, and aligned to business outcomes.
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