Verizon will integrate Atos’ Computer Vision technology in their private 5G multi-access edge computing as part of a combined offering for businesses that will provide ready-to-deploy business use cases across a variety of industries. The Atos platform is helping to introduce essential AI-powered video analytics capabilities to mission-critical applications.
Tami Erwin, CEO, Verizon Business, said, “This new, joint solution will provide enterprise customers with an unprecedented level of insight into their operations, and we’re excited about the prospect of building on our existing partnership with Atos. We know the future will be built on our leading 5G network, and today’s announcement is another example of how our products and solutions are having a genuine impact on business efficiency and revenue today.”
Verizon’s adoption of Atos’ BullSequana Edge servers will bolster its 5G edge offerings and open up new use cases, network security, connectivity, and data management possibilities. Organizations will be able to design immersive digital experiences that fully exercise 5G environments on the edge of their networks using Verizon and Atos’ expertise, signifying the next breakthrough in commercial value.
Jean-Philippe Poirault, Head of Telecom, Media and Technology, Atos, said, “We are proud to combine our uniquely positioned digital transformations in telecommunications and edge computing with Verizon Business’ reliable, high performance 5G networks to revolutionize the way people live, work and play. This industry-leading partnership exemplifies how we will innovate the 5G marketplace to the benefit of new and exciting user experiences for both business and consumers alike.”
The Verizon-Atos system includes hardware, 5G, application and automation, field services, and service desk support as part of an end-to-end architecture. The combined approach effectively addresses scalability and latency issues at a low cost.
To help businesses function more efficiently, the collaborative solution will focus on large-scale, cloud-based, AI-powered data analytics. The software will evaluate 180 billion data points every hour in one of the use cases. Engineers and operators will be able to pinpoint exactly when and where operating downtime is expected up to 30 days in advance using this technology. In addition, critical indicators and trends will improve operational efficiency and eliminate failure points over time. These insights can emerge from a specific portion of the system and be applied to the entire system.
