AI pilots are no longer the challenge—scaling them into production is. In this session, industry leaders will explore practical strategies for overcoming the technical, operational, and organizational barriers to enterprise AI adoption, with a focus on commercialization, infrastructure, governance, security, and delivering measurable business value.

Key Discussion Topics

1. Why most pilots die in the “valley of death” between demo and deployment and the specific gaps that kill them
2. What actually changes when you move from a controlled pilot to real users, real data, and real load
3. Production-grade reality: latency, reliability, cost, and observability that never showed up in the pilot
4. The security and governance requirements that block production sign-off and how to clear them early
5. How to build the internal case (and the metrics) that convince leadership to fund the jump to production

Table 1 — Why AI pilots fail to reach production

Participants share their own stalled initiatives and workshop what’s really blocking production: technical, organizational, or political.

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Table 2 — Closing the engineering, security, and governance gaps

The unglamorous realities like reliability, cost control, monitoring, and security that separate a demo from a system people depend on.

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Table 3 — Building the business case to scale AI initiatives 

How data governance, security, and compliance stop being blockers and become the thing that gets production approved.

As AI rapidly evolves from copilots to autonomous agents, organizations are entering a new era of enterprise transformation. This executive conversation explores how AI-native operating models, agentic systems, governance, leadership, and organizational capabilities are reshaping the future of work—and what leaders must do to stay competitive in an AI-first world.

Table 1 — How AI agents will reshape the workforce

This discussion explores how organisations should redesign roles, workflows, and leadership practices as AI agents become embedded across every function.

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Table 2 — What tomorrow’s AI-Native organisations will look like

This discussion explores how organisations can rethink their operating models, governance, decision-making, and technology foundations to build for an AI-first future.

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Table 3 — Strategies for the next era of enterprise AI 

This discussion explores how leaders can prepare for an economy where intelligent agents become integral to products, services, operations, and customer experiences.