What To Know
- Current State, Roadmap, and Guidelines- A AI Global Infrastructure and Data Governance Perspective,” it notes the increasing number of investments since new infrastructure is developed to meet the application demands associated with economic and security challenges across the world.
- Thus, the report highlights the supercomputers and data centres as integral aspects of the AI, and plays the significant role in competitiveness in the nation.
- The study provides a comparative overview of data sovereignty and AI infrastructure to review both for the advantages and limitations resulting from the categorised legal, cultural, and political systems.
Global investment in artificial intelligence (AI) infrastructure remains robust as data sovereignty laws become increasingly intricate, a new report by G42 in partnership with the POLITICO Research and Analysis team found. The report, titled “Sovereign AI Ecosystems: Citing the very informative paper titled “Challenges in Implementing AI Solutions: Current State, Roadmap, and Guidelines- A AI Global Infrastructure and Data Governance Perspective,” it notes the increasing number of investments since new infrastructure is developed to meet the application demands associated with economic and security challenges across the world.
At the end of 2023 AI investment increased to $843 billion and data suggests that will continue to rise as more countries continue to develop their infrastructure. Thus, the report highlights the supercomputers and data centres as integral aspects of the AI, and plays the significant role in competitiveness in the nation.
The study provides a comparative overview of data sovereignty and AI infrastructure to review both for the advantages and limitations resulting from the categorised legal, cultural, and political systems. International laws such as the EU general data protection regulation, China’s cyber security law, the USA CLOUD act defines the direction of AI development and flow of data around the world.
Asia, South American and African nations have come up with localized data governance to defend their security and nourish their economy. The report actually breaks down data sovereignty into areas like privacy protectionism, and efficiency which helps top companies to bring into perspective regional laws and erect local data hosting centers.
Kiril Evtimov, CTO, G42 highlighted the significance of the sovereign cloud infrastructure in the future of AI during his keynote address; Hasan Alnaqbi, CEO, Khazna pointed out toward the fact that secure and compliant infrastructure must sustain AI economies. Due to changes of focus to digital sovereignty globally especially within the nations, there is every probability that AI implementation and developments will experience a further boost.
