AI is no longer an experiment. It’s an expectation.

Enterprises are investing at speed, yet many are still struggling to prove value, establish accountability and scale beyond isolated wins.

The ISG AI Impact Summit focuses on what’s slowing impact including the gap between AI ambition and measurable ROI, unclear ownership in human-AI decision-making, operating models not built for autonomy and data foundations that fail under real-world pressure.

This isn’t about launching more pilots. It’s about redesigning how business gets done and delivering results that stand up in the boardroom.

WHAT YOU'LL DISCOVER

The pilots worked. The board wants to know why the P&L doesn't show it.

Move beyond AI activity metrics and build a defensible value case, one that survives CFO scrutiny, aligns incentives to outcomes and separates the AI investments that scale from the ones that just demo well. 

- How do you defend AI ROI when your baselines were never built for it?
- Why is so much early AI value being captured by suppliers rather than the enterprises paying for it?
- How do you know when to scale a programme and when to quietly retire it?

Sovereignty has moved from a policy debate to a board-level architecture decision.

Understand what "sovereignty" actually means when your data, models and decisions live on someone else's infrastructure. 

- How do you build a practical framework for deciding what to control, what to outsource? 
- How do you stay compliant with the EU AI Act without strangling the use case?
- Where does sovereignty matter most: data, models, infrastructure or decisions?

AI isn't just changing what you buy. It's changing how value is priced, owned and captured.

Navigate the shift to consumption-based, outcome-based and autonomy-driven pricing models, and build procurement, partnership and architectural choices that hold up as AI moves from tool to operating layer.

- Which procurement models accelerate AI adoption and which quietly block it?
- How do you avoid locking in today's AI choices as tomorrow's technical debt?
- When AI participates in the decision, who owns the outcome and how is that priced?

Your AI works in the lab. Data is where it breaks down in production.

Discover what data readiness genuinely requires when AI is making probabilistic, real-time, and increasingly autonomous decisions. Learn where to relax legacy quality rules and where governance must still draw hard lines.

- Which legacy data problems can AI finally work around and which does it dangerously amplify?
- How do you govern probabilistic outputs, opaque decisions and ungoverned data paths?
- Is your data fit for AI-driven decision-making or just model training?

Join us for a night of high-energy social darts at Flight Club Victoria – the home of “Social Darts,” where fairground-inspired decor, stunning ochre-lit oches, and vintage carnival style meet cutting-edge interactive dartboards.

Enjoy fast-paced games, curated sharing plates, and creative cocktails in a vibrant setting designed to foster meaningful connections after a day of engaging, thought-provoking content.

**RSVP with your registration.