The AI-Ready Enterprise — Data, Economics & the New Intelligence Stack

If you’re a Data or AI practitioner interested in speaking or sharing your expertise, please email [email protected]. We’d be happy to offer you a complimentary pass to the event.An invite-only afternoon bringing together enterprise leaders, investors, and startup founders to challenge the biggest assumptions shaping enterprise AI.

Two executives take opposing sides, followed by a live startup demo with no pitch. The audience votes before and after each debate to see what changes minds.

The Six Debates:
1. Your data will never be ready. Ship AI anyway
2. Bigger models are worth the price
3. Coding agents are worth what they cost today
4. Governance is slowing enterprise AI down
5. AI can run the revenue plan better than people
6. Most enterprise AI spend is wasted

Five-Course Lunch & Cocktails

Continue the conversation over a curated five-course lunch and cocktails, with time for meaningful one-to-one conversations and executive networking.

The day brings together two worlds:

1. Enterprise Data and AI Leadership — current and former leaders with experience across Datasite, Citibank, WESCO, PepsiCo, Toyota, and other global enterprises.
2.Silicon Valley Innovation — builders and researchers with experience at Netflix, Meta, Google, and leading AI companies.

What We'll Explore:

1. Getting Data Ready for AI

Where do enterprise AI initiatives actually break down—data quality, context, access, security, or governance?Learn how experienced Data & AI leaders are building trusted data foundations that AI can actually use.

2.What’s Next in AI

Which emerging AI capabilities are genuinely changing enterprise possibilities—and which are still hype?

Explore reasoning, specialized models, test-time compute, intelligent routing, and new approaches to building efficient intelligence.

3.Turning AI into Business Value

Why do so many AI pilots struggle to become measurable business outcomes?

Identify where AI is delivering measurable improvements in productivity, revenue, customer experience, software, and operations.

4.The Economics of Intelligence

Does more expensive intelligence actually create more business value?

Match model capability to the business problem—optimizing for accuracy, cost, latency, and performance rather than simply choosing the largest model.

Real-World AI Impact

See how a Fortune 100 financial services company cut AI costs by 70% while maintaining accuracy, reducing quarterly spend from $250K to $75K.https://drive.google.com/file/d/1h71Y5dwyrv3ohfQDyPtdxea8ftcigYYD/5.Managing AI at Enterprise Scale

How do you scale hundreds of AI use cases without losing visibility, governance, or control?

Create a clear operating layer across AI performance, cost, data access, risk, governance, and business impact.

Who Should Attend?

1. Enterprise AI & Data LeadersExecutives driving AI, data, and transformation.
2. PE & Investment LeadersInvestors evaluating AI opportunities and portfolio impact.
3. AI Founders & Technology LeadersBuilders creating and deploying AI solutions.
4. Enterprise PractitionersLeaders moving AI from pilots into production.

Reserve Your Seat

Invitation only. Limited seating.

Join senior technology leaders for an evening of executive networking, thought leadership, and practical insights into building an AI-powered enterprise.