The vision of Varun Chhabra, Vice President of Cloud and Edge Product Marketing at Dell Technologies on edge computing is undoubtedly very positive.

According to Dell’s manager, l’edge computing promises to advance human progress and change the world for the better.

Indeed, this technology can help organizations around the world to protect the environment, improve healthcare, facilitate smart cities, reduce energy costs and enable new technologies and services.

According to Gartner, by 2025, 75% of data should be processed at the edge. This transformation will lead a series of new business opportunities with IDC that predicts that the market of the edge computing will reach 250.6 billion dollars by 2024.

Dell, l’edge computing offers a competitive advantage

The logic of this change is clear. The collection and processing of data on the edge, close to the point of data creation, offers a competitive advantage. It provides more in-depth and faster business information, reducing costs. In manufacturing, l’edge computing allows precision monitoring, providing real-time insights that help optimize product performance and quality.

In addition, this reduces the cost of assembly of the product with the opportunity of higher margins or lower prices. In summary, according to Dell, the transition to edge computing solutions and strategies is a corporate imperative and will continue without interruption.

However, with the growing business all’emploi, the volume and speed of data are proposing new and challenging challenges for organizations.

By 2025, IDC estimates that there will be 41.6 billion connected IoT devices that will collect data on how we live, work and travel. Due to this huge change in user behaviour, the traditional model of centralized architecture is giving way to distributed architectural models. Compare it with trends in private/public cloud space, where we witnessed an opposite shift towards centralization. As the IT architecture inevitably becomes even more decentralized and the devices become more distributed, I believe that the consistency of management and operations between Edge and cloud will become increasingly important.

The Supplementary Technologies for edge computing

Artificial Intelligence (AI) and Machine Learning (ML) will play a significant role in real-time information industries. AI and ML are essential for making real-time decisions at the edge, while the AI/ML algorithms at the centre are responsible for analysing historical data or predictive power peaks. In the future, Dell believes that this dynamic will be accentuated, given the volume of processing moving more and more towards the edge.

According to Dell, one imperative for success is the extension of the reliable IT level infrastructure to the edge so that the operation technology (OT) can be distributed, managed, integrated and supported efficiently.

Dell Technologies’ strategy is to adopt a customer-centric approach. The foundation rests on a top-level technological infrastructure based on Intel, optimized for the Edge and complete with modern application services to reliably distribute and execute containerized workloads everywhere.

An even more important factor is to have integrated the inherent safety, which surrounds and protects the entire stack of edge solutions. Dell has also created a suite of data services to help organizations extract relevant business information.

Organizations can manage Edge solutions on any cloud, app, and endpoint.

In summary, Dell’s manager claims to be inspired by the vast potential offered by the It is easy to imagine that edge computing becomes more pervasive in homes, workplaces and roads and that it supports everyday decision-making.

According to Dell, from health devices related to public safety initiatives to self-employed cars, Edge technology will play a valuable role in saving lives, reducing accidents and preventing crime, ultimately making all lives safer and richer.

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