Financial firms have unique challenges driving their need for AI-enabled data platforms to help them operate at scale, remain competitive, and continuously innovate. Their data-driven nature, data sensitivity, scale, and high levels of customer engagement require strong governance and resiliency.

While the industry in general has been slower than others to move to the cloud, leading financial services firms have mapped out clear and intentional cloud strategies. They’re moving workloads that make sense to the public cloud, while keeping certain sensitive data on-prem.

So, what does the ideal hybrid infrastructure look like? How can FSI leaders put AI (from traditional, generative, and agentic) to work processing and analyzing their abundant data to uncover patterns, trends, and actionable insights? How can they reap the benefits of automating processes, such as approving loans or flagging fraudulent transactions, while enhancing customer experience?

Join AI builders from Cloudera, NVIDIA, and AWS along with a group of likeminded peers, as we discuss the most cost-effective strategies to build out top AI and generative AI use cases.

Cloudera is the only true hybrid platform for data, analytics, and AI. With 100x more data under management than other cloud-only vendors, Cloudera empowers global enterprises to transform data of all types, on any public or private cloud, into valuable, trusted insights. Our open data lakehouse delivers scalable and secure data management with portable cloud-native analytics, enabling customers to bring GenAI models to their data while maintaining privacy and ensuring responsible, reliable AI deployments. The world’s largest brands in financial services, insurance, media, manufacturing, and government rely on Cloudera to use their data to solve the impossible—today and in the future.