

Data + AI Advantage
An Evening on DataLakes, GenAI, and Building Durable AI-First Companies
In Person, Palo Alto 5:00 - 7:30 PM PT
Co-Hosted by Databricks & G2C Ventures
Who should attend
GenAI-native founders
Director+ level executives at independent software companies (<$200M ARR) shaping their data and AI roadmaps.
Limited capacity, signup to reserve spot today.
About the event
As AI-native products move from pilots to mission critical workflows, competitive advantage is shifting from models to data + AI architecture.
G2C Ventures and Databricks are co-hosting an evening of networking and discussion for GenAI founders and senior product, data, and engineering leaders to go deeper on how modern data lakes enable scalable, cost-efficient, and defensible Data + AI strategies.
We’ll explore how companies move beyond point AI features and experimentation toward production-grade systems—where proprietary data, clean pipelines, and well-designed data lakes become the foundation for model performance, unit economics, and long-term differentiation.
Discussion themes
Why data lakes matter more than ever in the GenAI era
Designing data architectures that support AI-native products at scale
Integrating data lakes into modern Data + AI roadmaps
Avoiding common pitfalls: fragmented data, rising compute costs, and brittle pipelines
What “AI-ready data” looks like for <$200M ARR software companies
Hands on code demonstration on how to get Agentic AI workflows up and running
Best practices today to avoid hallucinations and create the right context environments in an enterprise setting
Resources and organizational support available from Databricks on how to get started
Format
Curated guest list
Short framing remarks
Interactive demonstration, peer-driven discussion
Drinks + light bites
This is not a pitch event—it's a candid exchange among builders and operators navigating real-world Data + AI decisions.
Why attend
Learn how leading teams are structuring their data foundations for GenAI
Pressure-test your Data + AI roadmap with peers at a similar stage
Exchange ideas on whats working and whats not
Build relationships with founders and executives solving adjacent problems