Operationalizing AI for Scale and Sovereignty
The session 'Operationalizing AI for Scale and Sovereignty' at MIT Technology Review's EmTech AI conference explored how organizations are leveraging AI factories to achieve scalability, sustainability, and data governance. Speakers discussed the importance of data control and sovereign AI in enabling secure, large-scale AI deployments for governments and enterprises. The conversation highlighted strategies from HPE and Oak Ridge National Laboratory to advance high-performance computing and AI integration across sectors.
- ▪The session 'Operationalizing AI for Scale and Sovereignty' was presented at MIT Technology Review's EmTech AI conference.
- ▪Chris Davidson, Vice President of HPC & AI Customer Solutions at HPE, leads global strategy for AI Factory and Sovereign AI solutions.
- ▪Arjun Shankar is Division Director at the National Center for Computational Science, Oak Ridge National Laboratory, and a joint faculty appointee at the University of Tennessee’s Bredesen Center.
- ▪AI factories are being used to enhance data governance, scalability, and sustainability in national and enterprise AI systems.
- ▪HPE develops large-model training platforms and Cray exascale systems as part of its high-performance AI computing portfolio.
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SponsoredArtificial intelligenceOperationalizing AI for Scale and SovereigntyBy MIT Technology Review Eventsarchive pageMay 1, 2026The session, Operationalizing AI for Scale and Sovereignty, live at EmTech AIPresented by Companies are taking control of their own data to tailor AI for their needs. The challenge lies in balancing ownership with the safe, trusted flow of high‑quality data needed to power reliable insights. This conversation from MIT Technology Review's EmTech AI conference examines how AI factories unlock new levels of scale, sustainability, and governance—positioning data control as a strategic imperative for governments and enterprises.
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