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Virtual Event

What It Takes To Scale AI

An Exclusive Conversation with Snowflake Ventures

Join Crunchbase Research Lead Gené Teare and Harsha Kapre, Head of Snowflake Ventures, for an inside look at where enterprise AI is gaining real traction — and what the data says it will take to scale.

Drawing on new findings from an analysis of the Snowflake partner ecosystem, they'll unpack why capital is concentrating into fewer, bigger bets, which layers of the AI data stack are proving most critical, and why the companies pulling ahead in enterprise AI are building on strong data foundations first.

Whether you're an investor, founder, product builder, or GTM leader, you'll leave with a clearer view of where the market is heading — and what it will take to win in the next phase of AI.
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Wednesday, May 13 | 2 pm ET / 11 am PT

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What You’ll Learn

01

Where investor conviction is rising

See where capital is concentrating across the Snowflake partner ecosystem—and what that reveals about the categories and companies best positioned to scale.

02

Which layers of the AI data stack matter most

Learn which parts of the AI data stack are attracting the most attention—and why secure, governed, enterprise-ready systems are becoming essential to scaling AI beyond the pilot stage.

03

What the next wave of enterprise AI looks like

Hear Snowflake Ventures’ perspective on agentic AI, enterprise readiness, and the signals that separate scalable companies from the rest.

Meet Your Speakers

Harsha Kapre Headshot

Harsha Kapre

Head of Snowflake Ventures
Harsha is a seasoned product management leader with over 20 years of experience working with database and data management technologies. As Head of Snowflake Ventures, he focuses on investments that are driving innovation and unlocking new value on top of the Snowflake platform.

Gené Teare

Research Lead
Gené is a journalist and Research Lead at Crunchbase with a decade of experience in data journalism. She specializes in analyzing global funding trends, unicorn creation, and leads an AI investor series.

Who Should Attend

  • Venture capital investors and corporate venture teams
  • Startup founders and executive teams
  • Product, strategy, and innovation leaders
  • Operators, analysts, and business leaders tracking AI market shifts