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 protikm@datacolor.ai. 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:
Your data will never be ready. Ship AI anyway
Bigger models are worth the price
Coding agents are worth what they cost today
Governance is slowing enterprise AI down
AI can run the revenue plan better than people
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:
Enterprise Data and AI Leadership — current and former leaders with experience across Datasite, Citibank, WESCO, PepsiCo, Toyota, and other global enterprises.
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?
Enterprise AI & Data Leaders
Executives driving AI, data, and transformation.PE & Investment Leaders
Investors evaluating AI opportunities and portfolio impact.AI Founders & Technology Leaders
Builders creating and deploying AI solutions.Enterprise Practitioners
Leaders moving AI from pilots into production.
Speakers
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.