The Data Foundation for Enterprise AI at Scale

Making enterprise data AI-ready without large-scale replatforming.

Enterprise AI initiatives are accelerating, but many organizations face a common challenge: AI success depends on trusted, accessible, and governed data. While business leaders are under pressure to deliver AI outcomes quickly, rebuilding data platforms from the ground up is rarely practical, cost-effective, or aligned with business priorities.

Join fellow data and technology executives for an interactive virtual roundtable exploring how organizations can create a robust data foundation for enterprise AI while maximizing existing technology investments.

Together, we'll discuss practical strategies for preparing enterprise data for AI, strengthening governance and compliance, and accelerating business value without large-scale replatforming initiatives.

Key Discussion Topics

Making Enterprise Data AI-Ready Without Large-Scale Replatforming

• How leading organizations are leveraging existing data ecosystems to support AI initiatives
• Approaches to improve data quality, accessibility and readiness for AI workloads
• Modernizing data foundations while protecting prior technology investments

Balancing Innovation, Governance and Operational Risk

• Building trust in AI through effective data governance
• Managing security, compliance and regulatory requirements in AI-driven environements
• Creating frameworks that enable innovation without compromising control

Delivering Faster AI Outcomes with Existing Data Investments

• Identifying high-impact AI use cases that can be deployed quickly
• Reducing time-to-value through better data availability and integration
• Lessons learned from organizations successfully scaling AI initiatives

Reserve Your Place Below

Seats are limited to encourage meaningful discussion and peer interaction.

Register today to join an exclusive conversation on how leading organizations are building the data foundation required for successful enterprise AI adoption and scale.