This session will look to explain what Generative AI is and will take a practical look at how generative AI can drive business transformation and innovation.

·       What is Generative AI and how is it different from AI?

·       What are the practical applications for Generative AI in key transformation areas?

·       How do you choose and prioritize the project?

·       How to prepare your organization for the better use of Gen AI from data, process and people perspectives?

·       How to integrate generative AI into your existing workflows and business processes

·       What does Generative AI mean for your technology stack and systems set up? 

Before companies can take significant advantage of Generative AI, they must take a long and hard look at their data strategy, including their data quality, structure and the culture around data. Failure to address these foundational elements will result in missed opportunities for predictive analytics and AI-driven applications. This session will shed a light on how to build a robust data strategy and harness the true potentials of Generative AI.

·       Developing master data strategy across the enterprise to drive quality and standardization

·       Building a Data Centre of Excellence (CoE) for real-time efficiency and intelligence

·       Developing AI applications and predictive analytics capabilities to drive efficiency and growth opportunities