While generative AI is on the agenda of all major organizations, the legacy systems and the underlying technology architecture may not always be conducive to its adoption.

For the success of gen AI adoption, organizations must ensure that their IT infrastructure can support AI initiatives, including data management systems, computing power and integration capabilities. 

The panelists will delve into the foundational elements required to build and maintain an AI infrastructure that can scale effectively with increasing data volumes, computational demands and evolving business needs. It will cover the best practices for integrating scalable computing resources, data management systems and robust architecture frameworks to ensure long-term AI success. 

The session will also cover: 

• Role of cloud to address the compute resources to support gen AI workloads; 
• Advanced security and compliance measures to protect sensitive data and AI models; 
• Addressing technology integration and change management issues.