AI that delivers ROI from Infrastructure to Intelligence

About this session

Enterprise AI ambition is at an all-time high, yet less than half of AI experiments make it to production and 43% of major AI initiatives are expected to fail, according to HCLTech’s AI Impact Imperatives, 2026, an enterprise AI market report. In this session, Rampal Singh lays out an end-to-end blueprint that connects infrastructure, platforms and intelligence into a single engineered stack, so enterprises can scale AI that consistently delivers ROI, responsibly. Audience takeaways1. A leadership view of the operating model that turns AI experiments into measurable business outcomes2. Why the infrastructure to intelligence gap needs to be managed for achieving enterprise AI ROI3. How to architect a sovereign stack that still delivers enterprise-grade AI at scale4. How this blueprint translates into predictable cost, performance and business outcomes5. How AI in a Box and SLM-as-a-service transform the operating model6. Enterprise examples of how the Factory approach translates AI investments into measurable ROI