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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. Artificial intelligence (AI) projects are another useful example.

Cloud 95
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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. Cloud pricing optimization Organizations are leaning on AI to help reduce cloud costs and to find cost-effective solutions for running cloud applications.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. Artificial intelligence (AI) projects are another useful example. Close to the Edge.

Cloud 98
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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Retailers often use predictive models to forecast inventory requirements, manage shipping schedules, and configure store layouts to maximize sales. The technology helps adopters in fields as diverse as finance, healthcare, retailing, hospitality, pharmaceuticals, automotive, aerospace, and manufacturing.

Data 145
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The Multiplier Effort of Edge Computing

CIO Business Intelligence

The number of edge sites — factory floors, retail shops, hospitals, and countless other locations — is growing. Pushing computing power to the distributed edge ensures that data can be analyzed in near real time —a model not possible with cloud computing. Data follows the activities of customers, employees, patients, and processes.

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Parlay insights from the edge across your enterprise for real business value

CIO Business Intelligence

The number of edge sites — factory floors, retail shops, hospitals, and countless other locations — is growing. Pushing computing power to the distributed edge ensures that data can be analyzed in near real time — a model not possible with cloud computing. Data follows the activities of customers, employees, patients, and processes.