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RIGHTSIZING INFRASTRUCTURE FOR AI WORKLOADS
As cloud solutions have proliferated, enterprises have adopted both on-premises and cloud infrastructure to create a multicloud architecture. Yet deploying multiple public clouds and on-premises technology can create a complex management experience. Tony Bartlett at Dell Technologies South Africa suggests a technology road map.
Artificial Intelligence is transforming industries by enhancing innovation and efficiency, enabling businesses to unlock insights, optimise operations, and seize new opportunities. But to fully harness AI’ s potential, businesses need more than just sophisticated algorithms and skilled data scientists. A strong, adaptable infrastructure is essential, especially in a multicloud world where data flows across various platforms.
Enterprises today are not tied to one IT environment, whether it is on-premises, edge or on the cloud. They use multiple platforms, cloud providers and environments to optimise costs, ensure redundancy, and meet diverse workload needs.
Dell’ s 2024 Innovation Index reveals that 76 % of organisations prioritise AI-driven innovation, with 60 % adopting AI in a multicloud setup.
According to Gartner, 70 % of workloads will run in a cloud computing environment by 2028. As businesses navigate the multicloud landscape, AI adoption is emerging as a key driver of innovation. Dell’ s 2024 Innovation Index reveals that 76 % of organisations prioritise AI-driven innovation, with 60 % adopting AI in a multicloud setup to enhance flexibility and scalability.
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