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

The pandemic has disrupted traditional ways of managing people and process permanently, leaving us in the dark with blindfolds. This session will share key insights into navigating these key challenges and the steps taken to achieve monumental milestones in improving process visibility. The goal is to demonstrate how you can work smarter, not harder.

·       A controversial lean + agile model in managing process optimization

·       How do we go from poor documentation to transformative automation?

·       Bringing automation to life especially in a complex and changeable operating environment

·       Managing automation at scale: setting up a governance model for 24 hours and on demand bots that touch over 1 million transactions and reports