Dubai — The UAE is setting a new benchmark in data-centre infrastructure management following a memorandum of understanding (MoU) between Presight AI and Khazna Data Centers to deploy an artificial-intelligence-driven operations platform across Khazna’s network of 30 data-centres in the UAE.
Key elements of the deal
- The MoU covers the implementation of a central “command and control” hub in Abu Dhabi from which AI-based monitoring will oversee energy consumption, cooling systems, equipment performance and security across the data-centre network.
- The system will apply predictive analytics to anticipate maintenance needs, identify potential faults before they occur and optimise operational efficiency around the clock.
- The programme forms part of a broader infrastructure framework tied to G42’s “Intelligence Grid”, which connects the UAE’s data-centre operations with hubs in Singapore, Kazakhstan, Europe and Africa.
- Khazna describes itself as the operator of the UAE’s largest data-centre footprint, and with this deal, aims to elevate the standard of facility-management automation, sustainability and resilience.
Implications and context
- The use of AI to manage high-density computing infrastructure signals a shift toward “self-optimising” data centres — critical as demand for cloud services, generative AI and data processing escalates.
- From a sustainability perspective, such a system promises reduced energy waste, smarter cooling (a major cost and environmental factor in data centres) and extended operational life of equipment.
- Strategically, the move strengthens the UAE’s ambition to become a global hub for AI, digital infrastructure and data sovereignty, aligning with national economic diversification plans.
- For the data-centre industry, this partnership could become a model for how hyperscale facilities are managed in future: centralised oversight, real-time intelligence, and integrated global networks.
What to watch next
- The effective roll-out timeline, and the proof-points on efficiency gains and downtime reductions once the system is live.
- How the system balances real-time AI autonomy with human supervision, particularly in critical infrastructure.
- Data-sovereignty, cybersecurity and regulatory frameworks around AI-driven infrastructure management will be under close watch.
- The export potential of the platform to other markets, given the global ambition of both partners.
If you’d like, I can prepare a concise, ready-for-publication version of this article with a boxed-highlight section of the technical architecture.