Enterprise AI holds the power to transform businesses—but scaling it is no small feat. While AI's potential spans productivity gains, top-line growth, innovative business models, and richer customer and employee experiences, the barriers to unlocking this value remain steep. Fragmented data, siloed systems, misalignment between business and IT, and a shortage of specialized talent create bottlenecks that stall progress. This keynote will uncover how to overcome these challenges and build a scalable AI foundation that delivers measurable results. We'll explore real-world examples of how Genpact is helping global businesses accelerate time-to-value through cutting-edge capabilities like the AI Gigafactory. From integrating industry-specific expertise to leveraging ecosystem partnerships with technology leaders, we’ll show the blueprint for sustainable and responsible AI deployment. Leave this session with actionable strategies to break down silos, align your teams, and turn enterprise AI into a powerful engine for growth.

Early deployments often shave costs but rarely shift the P and L in a big way. This session uncovers hard lessons and practical playbooks for turning scattered pilots into profit engines that matter to the board.

A home-grown stack offers tailored control yet demands scarce talent and long timelines, while vendors promise instant scale but risk lock-in and limited flexibility. Leaders debate which path reaches real-time insight fastest.

A single command hub can standardize tooling and safeguard quality but may slow decisions, whereas federated squads drive domain intimacy and rapid experimentation at the cost of duplicated effort. Panelists explore hybrid playbooks that promise both control and speed.