Bringing AI to the Data

As customer-facing AI use cases are on the rise, financial services organizations are increasingly bringing AI workloads back to their own data centers to improve data privacy, sovereignty, cost predictability, and performance. At the same time, many leaders are struggling to balance rapid AI adoption with the governance, compliance, and infrastructure demands required in highly regulated environments.

Leading enterprises are addressing this by adopting a “Bringing AI to the Data” approach, combining on-premises, private, and public cloud AI capabilities to create more secure, cost-effective, and scalable hybrid environments. This strategy helps reduce the total cost of ownership, accelerate time-to-value, and enable AI innovation while keeping sensitive data and AI protected.

Join Cloudera & AMD and a select group of your peers for a closed-door discussion on how organizations are building hybrid AI strategies that balance speed, total cost of ownership, security, governance, and efficiency while scaling Private AI initiatives across the enterprise.

Cloudera is a hybrid data, analytics, and AI platform company that helps organisations turn complex data into trusted insights and outcomes at scale. Built for the world’s most demanding enterprises, Cloudera enables secure, governed, and unified data across cloud and on-prem environments. Its platform supports advanced analytics and AI use cases, helping businesses drive faster, more informed decision-making while maintaining control, compliance, and data integrity.

AMD (Advanced Micro Devices) is a global semiconductor company driving innovation in high-performance and adaptive computing. AMD develops cutting-edge CPUs, GPUs, and AI-enabled technologies that power data centres, cloud infrastructure, enterprise systems, gaming, and embedded solutions. With a strong focus on accelerating next-generation computing, AMD enables organisations to unlock performance, efficiency, and AI-driven transformation at scale.