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5G plays an integral role in edge data center investments in India: Dell TechnologiesChennai: 5G deployment plays an integral role in edge data center investments in India and in 2022 consumption-based models, edge computing and multi-cloud environments will flourish, Srinivas Rao, Senior Director, System Engineering, Dell Technologies, India told ET .

He said the economy of “doing everything from anywhere” requires a highly complex IT system capable of managing the exponential data it generates. Emerging technologies such as edge computing, 5G, artificial intelligence (AI) and machine learning (ML) are driving both the discovery of insights from data and the digitization of key business processes.

By 2025, most of this data is expected to be processed outside a traditional data center or cloud. Edge solutions will therefore be the most viable option for real-time data processing and for leveraging data-driven insights, at or near the source of data generation, Rao said.

“As IT infrastructure becomes more dispersed, Dell will focus on simplification and modernization while reducing infrastructure costs,” he said. “Modern data management is about to change. Most of the world’s data is predicted to disappear from the public cloud environment where non-real-time, centralized data is managed. We expect the entire data management ecosystem to evolve and use creating edge technology, IT capability entering and exiting their data pipelines, and processing and processing data remotely at the edge.”

Outbound traffic in the world of networks implies traffic leaving an entity or a network boundary while Ingress is traffic entering the boundary of a network. Dell Technologies expects that as the data management ecosystem extends to the edge, the number of edge workloads will continue to grow dramatically and data management will become an untried workload.

“Edge computing is one of the core components of the industrial Internet of Things,” says Rao. “It plays an important role in accelerating the journey to industry 4.0 adoption. The growing adoption of IoT across all industries, exponentially increasing data volumes, network traffic, increasing demand for low-latency and real-time processing.”

He added that the automated decision-making solutions were one of the factors driving the growth of edge computing. Rao also said edge computing platforms are likely to offer lightweight designs that can be deployed successfully despite spatial, environmental, power and connectivity constraints. So these designs are more secure and can support applications that require real-time insight.

One of the biggest challenges he foresaw was that enterprise IT infrastructures are overwhelmed by the massive amount of data generated for analysis. Rao warned that too many organizations were trying to develop edge-specific technologies, operations, and architectures independently of those existing in their on-premises data centers and the cloud, and that the further down this path organizations are, the less likely they will. absorb innovations, reduce costs, maintain security and avoid complexity with supplier management. “That’s why, in this competitive landscape, to deliver the best-in-class experience to their customers, organizations need to manage data effectively to extract maximum value from the edge to the cloud,” he said.

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