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Ali Ghodsi, Co-founder and CEO, Databricks kicks off Data + AI Summit 2026

Databricks23 June 2026Watch on YouTube

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Ep. 8 · Databricks Data + AI Summit 2026

Samenvattingen en inzichten van het Databricks Data + AI Summit 2026 wereldwijd en in de APJ-regio.

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Description

Databricks Co-founder and CEO Ali Ghodsi opens Data + AI Summit 2026 and outlines how the Databricks platform solves the biggest challenges to AI adoption: context, cost, governance, and choice. Watch the full keynote on demand: https://www.databricks.com/dataaisummit Databricks product launches from Data + AI Summit 2026: • CustomerLake • Genie One • Genie Agents • Genie App Builder • Genie ZeroOps • Lakehouse//RT • LTAP (Transactional/Analytical Processing) • OpenSharing SecureConnect Talk By: Ali Ghodsi, Co-Founder and CEO, Databricks Connect with us: Twitter: https://x.com/databricks LinkedIn: https://www.linkedin.com/company/databricks/ Instagram: https://www.instagram.com/databricksinc/

What you'll learn

  • Databricks identifies four core challenges for AI adoption: context, cost, governance, and choice
  • The company launches multiple new products including Genie One, Genie Agents, Genie App Builder, and CustomerLake
  • The Databricks platform combines lakehouse technology with real-time processing capabilities (Lakehouse//RT)

Frequently asked questions

What are the four main challenges to AI adoption that Ali Ghodsi mentions in his presentation?
Ali Ghodsi identifies context, cost, governance, and choice as the four biggest challenges organizations face when adopting AI technologies.
What new products does Databricks launch at the Data + AI Summit 2026?
Databricks launches several new products including CustomerLake, Genie One, Genie Agents, Genie App Builder, Genie ZeroOps, Lakehouse//RT, and LTAP (Transactional/Analytical Processing).
How does the Databricks platform help companies with enterprise AI implementation?
The platform provides an integrated solution addressing the four adoption challenges by combining context management, cost optimization, governance features, and flexibility options.
What distinguishes Lakehouse//RT from traditional data lakehouses?
Lakehouse//RT adds real-time processing capabilities to lakehouse technology, enabling organizations to analyze both historical and streaming data.

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