Connect Your Data to Drive Actionable AI Outcomes
Tuesday, November 3, 2026
Choose from 3 session times:
9 a.m. PT | 11 a.m. CET | 1:30 p.m. Singapore
Choose from 3 session times:
9 a.m. PT | 11 a.m. CET | 1:30 p.m. Singapore
AI built on incomplete business context delivers inaccurate answers.
Connect AI and analytics across your entire data estate to help reduce data movement and complexity.
Customer transactions, financials, supply chain activity, and operational systems hold the context AI needs. But that data is often spread across applications, databases, data lakes, clouds, and on-premises environments. Making it available to AI can require more copies, pipelines, and infrastructure to secure and govern. Oracle Autonomous AI Lakehouse helps you build on your existing Oracle investments and unify access to data across your estate for AI. Use Oracle and non-Oracle data for analytics and AI while continuing to rely on the systems, security controls, and business processes your organization already trusts.
Join the opening session of the Oracle Autonomous AI Lakehouse webinar series. Dive into the latest Oracle AI World announcements, including new capabilities for open lakehouse access, unified data discovery and governance, and AI agents. See demos and get practical guidance for applying these capabilities to your existing data environment and supporting production-ready AI foundations, from data pipelines and analytical AI to governed AI applications and agents across multicloud environments.
By attending, you’ll learn how to:
Join the opening session of the Oracle Autonomous AI Lakehouse webinar series. Dive into the latest Oracle AI World announcements, including new capabilities for open lakehouse access, unified data discovery and governance, and AI agents. See demos and get practical guidance for applying these capabilities to your existing data environment and supporting production-ready AI foundations, from data pipelines and analytical AI to governed AI applications and agents across multicloud environments.
By attending, you’ll learn how to:
- Build and ground AI applications and agents on operational and multicloud data, with less data movement, duplication, and complexity.
- Establish production-ready AI data foundations, including data discovery, governance, medallion pipelines, and multicloud architecture patterns.
- Use governed access controls to ask, search, and generate with AI while keeping data and AI agents secure.
- Turn enterprise data into AI-powered analytics and stronger business insights while preserving existing logic, security, and controls.
Featured Oracle Speakers
Imran Moin
Vice President, Oracle AI Lakehouse
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Imran Moin
Vice President, Oracle AI Lakehouse
Imran Moin leads product marketing for Oracle AI Lakehouse, where he focuses on shaping go-to-market strategy and helping enterprises understand the value of Oracle’s data and AI platform. With more than 20 years of experience across companies including AWS and Google, as well as multiple startups, Imran brings deep expertise in building and scaling enterprise software businesses.
Amit Kapadia
Sr. Principal Product Marketing Manager, Oracle AI Lakehouse
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Amit Kapadia
Sr. Principal Product Marketing Manager, Oracle AI Lakehouse
Amit is a Senior Principal Product Marketing Manager for Oracle Autonomous AI Lakehouse, where he focuses on bringing Oracle’s data and AI innovations to market and helping organizations realize greater value from their data estate. With product marketing experience across Snowflake and Fivetran, Amit brings a deep understanding of the modern data platform landscape and how enterprises are evolving their data strategies for analytics and AI.
Vishal Singh
Head of Product, Oracle AI Lakehouse
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Vishal Singh
Head of Product, Oracle AI Lakehouse
Vishal Singh leads product for Oracle AI Lakehouse, where he focuses on building the trusted data and AI foundations enterprises need to power AI applications and agents. With experience across Oracle, AWS, HashiCorp, and Microsoft, Vishal brings deep expertise in enterprise AI, data platforms, cloud infrastructure, and developer platforms.