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

CIO Business Intelligence

Artificial intelligence (AI) projects are another useful example. Some legacy applications have been architected in a way that doesn’t allow pieces of functionality and data to be migrated to cloud easily; in other cases, making a wholesale migration is out of the question, for reasons related to cost and complexity.

Cloud 102
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Getting a foothold in the 5G applications ecosystem

TM Forum

Dirk Reinert, Lead, 5G-Enabled Campus Edge Solutions, T-Systems, gives the example of computer vision, which is a field of artificial intelligence that enables systems to extract useful information from images and video that manufacturers can use in quality assurance. Nokia MX Industrial Edge.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Artificial intelligence (AI) projects are another useful example. Some legacy applications have been architected in a way that doesn’t allow pieces of functionality and data to be migrated to cloud easily; in other cases, making a wholesale migration is out of the question, for reasons related to cost and complexity.

Cloud 98
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The touch of IoT to the industrial revolution

Dataconomy

Following this, the data may undergo transformation and loading into an analytics system where advanced algorithms, possibly incorporating artificial intelligence and machine learning, are applied. A well-designed network architecture ensures smooth data transmission and scalability as the system grows.

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How can DevOps as a Service flourish efficiency in your business?

Dataconomy

One of the key trends shaping the future of DevOps as a Service is the growing adoption of artificial intelligence and machine learning technologies. As a result, AIOps is expected to assume an increasingly pivotal role in the future of DevOps.

Devops 36