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What are the considerations of AI users migrating to the cloud
Time : 2024-08-26 12:12:33
Edit : Jtti

Data security continues to be one of the key concerns in the global cloud market, with Continental leading the way in the current European market. As the technology evolves, artificial intelligence may also affect cloud usage. According to the 2003 IDC EMEA Cloud Survey, the top three issues regarding the impact of AI on cloud usage were cybersecurity threats (26%), the need to accumulate more knowledge (27%), and increasing cloud costs (23%).

According to IDC, 84% of organizations in Europe are currently using cloud servers or plan to do so in the next 12 months. The main reasons for using cloud servers are enhanced network security, expanded cloud usage to support more remote working, compliance and industry regulations. In addition to these driving reasons, the EU is also working to move away from digital dependence on non-European cloud service providers and rely more on local resources, leveraging local cloud providers, platforms, services and infrastructure to become a stronger player on the global digital stage.

The above factors will influence the cloud buying thinking of European organizations. In terms of storage, security and data management, European organizations are most likely to move data to the cloud, but not necessarily all workloads and data will move to the cloud. In order to consider the role and scale of digital sovereignty. Collaboration between global technology providers and local cloud server providers is critical. Foster greater user choice and engagement through trusted global and local partners. For global service providers, choosing the right regional and domestic partners helps to enhance local credibility and leverage local expertise to provide better services. For local service providers, partnering with the right global service providers can help enable cloud innovation and scalability, and foster greater competition.

The main workloads that AI users are most likely to migrate to the cloud include security, storage, and analytics big data services. When dealing with AI workloads that involve highly sensitive information, organizations are most concerned about privacy and security. Using cloud platforms to migrate and modernize applications, AI organizations built with the cloud are also most concerned about security and compliance. Security and compliance are top considerations when choosing a cloud platform. The Jtti core is all about enhanced security and safeguards that help protect highly sensitive confidential loads from breaches or attacks.

Most enterprises aim to change the current distribution of IaaS, PaaS and SaaS workloads, as digital sovereignty is likely to drive a rebalancing of workloads between on-premises, on-premises cloud providers and global technology partners. You can re-open the cloud idea and choose a complete and secure cloud service, such as Jtti, which can support all-weather uninterrupted technical services to ensure the security of users using cloud services.

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