Aricent launches intent-based networking framework to improve overall efficiency of operations and enhance the customer experience


Unique approach to self-learning networks combines multiple capabilities including transfer learning, smart telemetry and network function orchestration

Santa Clara, California – April 10, 2018 – Aricent, a global design and engineering company, announced the launch of NetAnticipate, a self-learning capability for private/public clouds, central offices rearchitected as data centers (CORD), 5G, and satellite networks. The carrier-grade solution combines a library of network Artificial Intelligence (AI) models, semantic telemetry and intent-based orchestration capabilities. With NetAnticipate, a network operations center can improve efficiency and enhance the customer experience from quick troubleshooting, reduced mean time to resolve problems, auto-ticketing and autonomous resolution.A recent study by Cisco[1] predicts that mobile data traffic will increase seven-fold by 2021, reaching 49 exabytes per month and exceeding half a zettabyte annually. To keep up with the ever-increasing volumes of traffic and to manage subscribers Quality of Experience, the network must not only be predictive, but also capable of optimizing outcomes in real-time.

Most networks today are still managed by static rules that cannot scale to all possible issues and can only detect faults that have known signatures. Instead, Machine Learning (ML) algorithms can surface unexpected patterns in traffic flows and make recommendations to avert problems. Allowing network engineers to express “what” needs to be done in a natural language then letting the infrastructure determine “how”, further simplifies and streamlines operations.

Walid Negm, Chief Technology Officer at Aricent said, “The story of an event or alarm that impacts a service is extremely hard to stitch together. A network engineer is swamped with trouble tickets that are irrelevant, not prioritized or lack context. If the “devil is in the details” then why not auto-enrich tickets? More importantly, why not predict the onset of a fault or delay — to keep customers happy.” Negm added, “We believe that companies must augment their problem solvers so that they can be freed to innovate. That means intelligent “augmentors” such as design simulation tools, test automation and auto-resolution to drive-up productivity gains”.

[1] Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016–2021.


About Aricent:
Aricent is a global design and engineering company innovating for customers in the digital era. We help our clients lead into the future by solving their most complex and mission critical issues through customized solutions. For decades, we have helped companies do new things and scale with intention. We bring differentiated value and capability in focused industries to help transform products, brands and companies. Based in San Francisco, frog, the global leader in innovation and design, is a part of Aricent. Aricent is a part of the Altran Group.

Learn more about Aricent at https://www.aricent.com

About Altran
Altran ranks as the undisputed global leader in Engineering and R&D services (ER&D), following its acquisition of Aricent. The company offers clients an unmatched value proposition to address their transformation and innovation needs. Altran works alongside its clients, from initial concept through industrialization, to invent the products and services of tomorrow. For over 30 years, the company has provided expertise in aerospace, automotive, defense, energy, finance, life sciences, railway and telecommunications. The Aricent acquisition extends this leadership to semiconductors, digital experience and design innovation. Combined, Altran and Aricent generated revenues of €2.9 billion in 2017, with some 45,000 employees in more than 30 countries.

Aricent media and analysts contact:
Juhie.gorwara@aricent.com

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