Global organizations are facing a critical dilemma: balancing the cost efficiencies offered by artificial intelligence (AI) with the imperative of data sovereignty. This inherent conflict necessitates a fundamental reevaluation of enterprise risk frameworks.
For over a year, the generative AI narrative primarily centered on a race for capability, often measured by parameter counts and benchmark scores. However, boardroom conversations are now undergoing a crucial correction, shifting focus beyond mere AI capabilities to more comprehensive considerations regarding data governance and regulatory implications.