
Global Public Cloud Services Growth Opportunities
Description
Global Public Cloud Services Growth Opportunities
This Frost & Sullivan research examines the strategic positioning of public cloud service providers to leverage artificial intelligence (AI) capabilities and monetize their service offerings. The report highlights the growing importance of public cloud providers in the AI ecosystem, given the increasing shift in enterprise and consumer data residing in the cloud. Cloud service providers aim to leverage their scalable compute and storage infrastructure capabilities to move up the value chain and offer AI tools and technologies.
The report identifies two channels for cloud service providers to monetize AI offerings—by addressing key AI implementation challenges and enabling application development through tools and prebuilt AI services. Survey findings show that the public cloud will emerge as a major AI deployment model followed by the edge model. The report identifies four growth opportunity areas for public cloud service providers to create an AI-driven competitive advantage: improving scalability, performance, and speed; aligning future growth strategy with the edge environment; developing the ability to support machine learning and deep learning workloads; and strengthening hardware and infrastructure capabilities.
This Frost & Sullivan research examines the strategic positioning of public cloud service providers to leverage artificial intelligence (AI) capabilities and monetize their service offerings. The report highlights the growing importance of public cloud providers in the AI ecosystem, given the increasing shift in enterprise and consumer data residing in the cloud. Cloud service providers aim to leverage their scalable compute and storage infrastructure capabilities to move up the value chain and offer AI tools and technologies.
The report identifies two channels for cloud service providers to monetize AI offerings—by addressing key AI implementation challenges and enabling application development through tools and prebuilt AI services. Survey findings show that the public cloud will emerge as a major AI deployment model followed by the edge model. The report identifies four growth opportunity areas for public cloud service providers to create an AI-driven competitive advantage: improving scalability, performance, and speed; aligning future growth strategy with the edge environment; developing the ability to support machine learning and deep learning workloads; and strengthening hardware and infrastructure capabilities.
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