AI Factories: Balancing Data Ownership and Sovereignty
During the EmTech AI conference hosted by MIT Technology Review, a discussion highlighted how businesses are managing their own data to customize AI according to their requirements, ensuring a balance between ownership and the secure exchange of quality data. Chris Davidson, who serves as Vice President of HPC & AI Customer Solutions at Hewlett Packard Enterprise, oversees HPE's global approach to AI Factory solutions and Sovereign AI, collaborating with both governments and enterprises. Meanwhile, Arjun Shankar, Division Director at the National Center for Computational Science at Oak Ridge National Laboratory, emphasizes the connection between computer science and extensive scientific breakthroughs. The dialogue addressed how AI factories can enhance scale, sustainability, and governance, making data control a vital strategic priority.
Key facts
- Companies are taking control of their own data to tailor AI for their needs.
- The challenge is balancing ownership with safe, trusted flow of high-quality data.
- The conversation was from MIT Technology Review's EmTech AI conference.
- AI factories unlock new levels of scale, sustainability, and governance.
- Data control is positioned as a strategic imperative for governments and enterprises.
- Chris Davidson is Vice President of HPC & AI Customer Solutions at HPE.
- Arjun Shankar is Division Director for the National Center for Computational Science at Oak Ridge National Laboratory.
- Shankar's research focuses on the interdisciplinary bridge between computer science and large-scale scientific discovery.
Entities
Institutions
- MIT Technology Review
- Hewlett Packard Enterprise
- Oak Ridge National Laboratory
- University of Tennessee's Bredesen Center
- IEEE
- ACM