Generative AI has sparked the imagination with the explosion of tools like ChatGPT, CodePilot, and others, highlighting the importance of LLMs as the basis for modern AI applications.
However, implementing GenAI in the enterprise is challenging, and it becomes even more difficult for banks, insurance companies, and other financial services companies. On top of the regular challenges of building a GenAI app, these organizations face specific risk, compliance, and data privacy concerns, often work in on-premises or hybrid environments, and need to work at scale, serving multiple departments in the organization across millions of customers, frequently with use cases that require real-time capabilities.
Many Financial Service companies struggle with these challenges, and end up missing out on the great value of GenAI and the competitive edge it can provide.
Watch this on-demand session to learn how leading global Financial Service companies use GenAI today to serve their clients better, improve operations, and get ahead of the pack.
We showed new tools and technologies to help overcome the challenges of implementing GenAI, even in on-prem environments and with real-time use cases. We showcased best practices and mistakes to avoid, a real-world case study from a global bank, and a live demo.
Watch this session to learn firsthand how to implement GenAI in your enterprise!