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AWS and Databricks will showcase how their partnership accelerates data intelligence and AI innovation at the 2026 Data + AI Summit. The blog highlights AWS’ expanded role as a Legend Sponsor, featuring deeper integrations, new customer stories, and next‑gen agentic capabilities powered by Amazon Bedrock, AgentCore, and Kiro. It previews breakout sessions, industry forums, and hands‑on demos at Booth #100—showing how enterprises like Mastercard, Talkdesk, nCino, Addepar, and Workday are scaling governed, interoperable AI on Databricks with AWS. The post also outlines opportunities for attendees to engage with experts, explore industry‑specific programs, and experience the latest in unified governance, open data architectures, and enterprise‑grade AI agents.
AWS and Databricks continue to simplify complex data challenges, enabling organizations to move faster and deliver meaningful business outcomes with AI. At the Data + AI Summit, this partnership comes to life—showcasing how enterprises are turning data into intelligence at scale.
Returning in 2026 as a Legend Sponsor, AWS brings deeper integrations, expanded customer stories, and new innovations across AI, data platforms, and governance. With more than 30,000 attendees expected in San Francisco and virtually, the summit highlights the rapid evolution of the data and AI landscape—and how AWS and Databricks are helping organizations stay ahead.
AWS’ presence at DAIS 2026 with an expanded lineup of sessions, demos, and experiences.
AWS and Databricks highlighted how organizations like Mastercard are using the Databricks Platform on AWS to operationalize AI and unlock new value from their data. Key themes included generative AI adoption, unified governance, and open data architectures. Companies such as Talkdesk, nCino, Addepar, and Workday are also leveraging Databricks on AWS to scale data-driven innovation.
Agents are only as good as the data and runtime behind them. AWS and Databricks show how the AWS agentic stack pairs with the Databricks Platform:
The sessions listed below are designed for anyone interested in Databricks on AWS: