will move closer to the enterprise.“ In other words, the cloud stays, but the control shifts,” she says.
The move towards sovereign AI architectures reflects growing concerns about data privacy and regulatory compliance across different jurisdictions. Organisations in financial services, healthcare and other regulated sectors face particular pressure to demonstrate control over how their data feeds into AI systems and how those systems make decisions affecting customers and stakeholders.
Synthetic data becomes strategic asset for privacy compliance SAS experts also identify synthetic data as a key technology for organisations navigating privacy limitations and compliance requirements. The synthetic data sector has moved from niche applications to mainstream adoption as organisations navigate tightening privacy regulations. Gartner projects that by 2026, 75 % of businesses will leverage generative AI to generate synthetic customer data. The global synthetic data market is forecast to reach US $ 6.6bn by 2034.
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