AI that delivers ROI from Infrastructure to Intelligence
Wednesday, August 5, 2026 at 3:15 PM to 3:35 PM · 20 min. (US/Pacific)
Lando Ballroom 4203
Solo Talk
Infrastructure: Cloud, Data Centers, & Compute
Information
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 takeaways
1. A leadership view of the operating model that turns AI experiments into measurable business outcomes
2. Why the infrastructure to intelligence gap needs to be managed for achieving enterprise AI ROI
3. How to architect a sovereign stack that still delivers enterprise-grade AI at scale
4. How this blueprint translates into predictable cost, performance and business outcomes
5. How AI in a Box and SLM-as-a-service transform the operating model
6. Enterprise examples of how the Factory approach translates AI investments into measurable ROI
Audience takeaways
1. A leadership view of the operating model that turns AI experiments into measurable business outcomes
2. Why the infrastructure to intelligence gap needs to be managed for achieving enterprise AI ROI
3. How to architect a sovereign stack that still delivers enterprise-grade AI at scale
4. How this blueprint translates into predictable cost, performance and business outcomes
5. How AI in a Box and SLM-as-a-service transform the operating model
6. Enterprise examples of how the Factory approach translates AI investments into measurable ROI
AI Transformation Tracks
Infrastructure: Cloud
