Davidson and Shankar discuss how AI factories boost scale and governance
Updated
Updated · MIT Technology Review · May 1
Davidson and Shankar discuss how AI factories boost scale and governance
8 articles · Updated · MIT Technology Review · May 1
At MIT Technology Review's EmTech AI conference, HPE's Chris Davidson and Oak Ridge National Laboratory's Arjun Shankar focused on data sovereignty for governments and enterprises.
They said organisations are seeking greater control of their own data while still needing safe, trusted flows of high-quality information to produce reliable AI insights.
The discussion framed AI factories as a strategic way to build scalable, sustainable national and enterprise AI capabilities with stronger governance over data use.
Will the global race for 'AI sovereignty' accelerate innovation, or will it fracture the internet and hinder progress?
As nations build sovereign AI, can our planet's energy and water resources actually support this technological arms race?
With AI factories on the rise, are businesses simply trading one form of vendor lock-in for another, more expensive one?