From Data Risk to AI Velocity: Building a Secure Private AI Foundation for Regulated Enterprise Growth

AI is gaining traction across the enterprise, but progress is stalling where it matters most—data. With over 70% of enterprise data considered sensitive or regulated, many organizations struggle to scale AI without increasing risk or limiting access to the very data that drives value. As pressure builds to move beyond experimentation and deliver real outcomes, leaders are being forced to rethink how data is accessed, secured, and trusted across the AI lifecycle. So how can organizations move forward without slowing innovation or compromising control?

Leading organizations are shifting their approach, moving beyond isolated use cases to build a stronger data foundation for AI. This means connecting insights to trusted data, maintaining clear lineage, and embedding governance into how data is accessed and used. It also requires aligning strategy, infrastructure, and talent to ensure AI can scale in a way that is both effective and controlled.

Join peers and industry leaders for a candid discussion on how organizations are navigating the balance between data access, security, and AI innovation and what it takes to build a foundation that supports real, measurable impact.

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives.

Protegrity: From AI pipelines to cross-border banking and safeguarding patient records, your teams need secure, compliant, and usable data. Protegrity keeps sensitive data protected at the source—giving security leaders peace of mind and data teams the freedom to move faster and innovate with confidence.