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    Navigating an influx of data in the age of AI



    We are seeing today’s enterprises face a daunting challenge as they navigate how to best manage the rapidly growing stores of data associated with deploying AI, while also staying ahead of their evolving regulatory environments across the globe. Although this data can be crucial to enabling generative AI – which offers the potential to help businesses stay on top of market trends, meet shifting customer demands, deploy game-changing innovations and more – we believe enterprises must first consider where the data resides, where it is transferred to, and who has control over it.

    As enterprises consider existing and emerging data requirements, we have seen the need for data sovereignty grow to become a significant priority across all industries, particularly for those in highly regulated sectors that handle sensitive data such as financial services, healthcare, telco and government. As organizations are tasked with keeping data secured and within certain countries or jurisdictions, adopting a sovereign cloud approach – a cloud operating model designed to help organizations meet their legal, regulatory, and operational requirements in a given jurisdiction – can help. To comply with their data sovereignty requirements, enterprises can look to a computing environment that enables them to keep data secured and to store data in the location of their choice.

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