Global spending on edge computing is forecasted to increase from $228 billion in 2024 to nearly $378 billion by 2028, reflecting its growing importance in mission-critical industries like energy.

Edge AI performs computations locally at or near the data source, rather than relying on distant servers or the cloud. This ...

Partitioning generative AI LLMs across the edge and central/cloud infrastructures epitomizes the next frontier in AI deployment. This hybrid approach enhances performance and responsiveness and ...

Why Deploy Edge Computing? Typically, four business needs drive IT leaders to make the leap into edge computing, says Dave McCarthy, a research vice president in IDC’s Cloud and Edge Infrastructure ...

Edge computing and hybrid cloud have been shifting business dynamics in commercial markets for some time, allowing businesses to shift their purview from maintaining and upgrading legacy IT ...

“Edge computing will do the same for AI,” he said. Benefits and uses of hybrid models Different cloud environments have different benefits, of course.

Edge and 5G devices can play a role in "measuring how efficiently factory machines are operating and the environmental factors that can affect that operation, such as temperature and humidity.

Cloud computing and Edge AI are two transformative technologies reshaping the way data is processed, stored, and analyzed in today’s digital landscape.

Hybrid And Multi-Cloud The number of large organizations with a multi-cloud strategy (i.e., they buy cloud services from more than one provider) is predicted to rise from 76% to 85% during 2024.

The booming cloud computing market is increasingly becoming use-case specific, with products targeted at specific industries and their respective operations. A few emerging trends are driving this ...

According to Grand View Research, the global edge computing market is projected to reach $155.9 billion by 2030, growing at a compound annual growth rate (CAGR) of 37.9%.

Edge computing adoption in Australia has been slowed by challenges including cost and tech stack complexity, but IBM’s Utpal Mangla said global use cases are growing amidst the rollout of 5G.