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Optimize downtime, maintenance with automated, centralized machine condition monitoring

Automation in the manufacturing space is certainly not a new concept. In fact, according Daniel Collins, senior director of IoT Edge Solutions at ADLINK, the company’s clients already have automated production lines. However, he continued, what these customers want now is to remove manual processes...

The Convergence of Communication and Computation with Dr. Vida Ilderem

What type of talent is essential for the future of wireless communications? We need people with a systems mindset. The guest for today’s episode is Dr. Vida Ilderem, Vice President at Intel Labs. Vida discusses with Carrie Charles how wireless communications require a plethora...

Vodafone and Nokia develop ML system to detect network anomalies

Vodafone, in partnership with Nokia, has introduced a new machine learning (ML) algorithm to its pan-European mobile networks to detect and correct anomalies before they impact customers, the U.K. carrier said in a release. Based on Nokia Bell Labs technology, the Anomaly Detection Service autonomously...

The University of Texas partners with tech firms to set new 6G R&D center

The University of Texas (UT) has teamed up with tech companies Qualcomm, Samsung, AT&T, NVIDIA and InterDigital to establish a new research center, dubbed 6G@UT, to lay the groundwork for 6G. “The advances in both wireless communications and machine learning over the past decade have...

Can neural networks enable natural network evolution without cyclical air interface updates?

The evolution of cellular networks follows a fairly predictable cycle of R&D, standardization, application of standards to new equipment, deployment of that equipment, and repeat. But Qualcomm’s Tingfang Ji, Senior Director of engineering, is studying a future where neural networks could potentially replace the...

AI-based services on public cloud brings new level of network security, flexibility and management

Communication Service Providers (CSPs) are under increasing pressure to reduce both operating and capital costs as 5G network rollouts continue to gain momentum. Artificial intelligence (AI) and machine learning (ML) are quickly emerging as powerful tools to help operators do just that by aiding...

Network automation: ‘Everything comes back to data quality’

A data-first approach to operational excellence As operators consider any type of artificial intelligence- or machine learning-based network automation projects, "Everything comes back to data," according to Damion Rose, senior product manager of mobile signaling and data analytics at BICS. "Using machine learning starts with...

The present and future of network automation

As 5G continues its evolution toward broad digital enablement of the enterprise, the proliferation of artificial intelligence and machine learning in networks will be a crucial part of service provider strategies. For infrastructure, increasingly automated deployment, configuration and management accelerates time-to-revenue as closed technology...

Editorial Webinar: AI- and ML-based network automation: What’s the promise and what’s the reality?

As 5G continues its evolution toward broad digital enablement of the enterprise, the proliferation of artificial intelligence and machine learning in networks will be a crucial part of service providers’ strategies. For infrastructure, increasingly automated deployment, configuration and management accelerates time-to-revenue as closed technology...

AT&T, Ericsson use 5G, ML and edge computing to deliver live 3D AR music performance

Using 5G, machine learning and edge computing, AT&T and Ericsson created and delivered a live, three-dimensional augmented reality music performance that selected fans could view and interact with on their smartphones. In what the companies said is a significant step towards holographic communications technology...

AI and machine learning simplify Microwave network management

  As our wireless communication networks continue to advance and deliver connectivity to more people and more places, providers are turning to all sorts of technologies to increase capacity and performance. While 5G, the next generation of cellular technology will bring advanced spectrum sharing techniques, it...

Altran White Paper: 5G Network Operations

To manage such highly scalable and recursively sliced 5G networks and to maintain the customer QoE and SLAs in real time, the OSS systems managing the operations must be autonomous and self driven. It should be AI/ML based and must support cognitive algorithms for...

EXFO: 5G requires a ‘new breed’ of service assurance

New EXFO platform leverages AI, ML and "little data" for service assurance To hear EXFO CEO Philippe Morin tell it,  the virtualization of service provider networks is degrading network visibility and the ability to troubleshoot rapidly, while data lakes are more like overwhelming data swamps—...

Machine learning, AI aids network incident prediction, prevention

What if nearly every network operation could be predicted using machine learning and AI? Ericsson launched its Operations Engine in January to assist communications service providers with moving away from incident driven and reactive operations to predictive and preventative operations. The engine, which leverages machine...

How machine learning can improve siting for small cells

Report: Put small cells "where there is high traffic demand but low signal quality" Small cell deployments have followed a few broad trends in the past few years. The first wave serve to fill in holes in network coverage; the next wave was used to...

CenturyLink targets 5 milliseconds latency with edge computing investment

IoT, AI and machine learnings are key edge computing use cases, CenturyLink says There widespread consensus that edge computing will be a key piece of opening up latency-sensitive 5G applications like autonomous vehicles and augmented and virtual reality. Where there's not widespread consensus is around...

Meaningful AI needs edge and cloud computing

NXP and Nvidia both investing in AI for edge use cases The vision for the combination of 5G and the internet of things revolves around leveraging the low latency of next-generation cellular networks with sensor data to create efficiencies through lightning fast data processing in...

5G and AI: Increased network complexity requires an intelligent and automated approach

Make the switch to 5G easy by adopting artificial intelligence in your networks As 5G networks are lit up in urban cores and devices begin to hit the market, consumers are already seeing upward of 1 Gbps per second over the air. AND that’s just...

Where is the current ‘cutting edge’ for network and service visibility?

Network and service assurance needs are evolving rapidly, as more applications — both network functions that support telecom network operations, and enterprise applications — are becoming virtualized. SNS Research estimates that service provider SDN and NFV investments will have a compound annual growth rate...

Editorial Webinar: AI/ML–Making smart buildings smarter

Machine learning and artificial intelligence-based technologies in the smart building sector are generating new opportunities for value creation in commercial and industrial real estate. Innovations in image recognition, natural language processing and behavioral data are generating a deeper understanding of how occupants interact inside...

Editorial Report: AI/ML–Making smart buildings smarter

Machine learning and artificial intelligence-based technologies in the smart building sector are generating new opportunities for value creation in commercial and industrial real estate. Innovations in image recognition, natural language processing and behavioral data are generating a deeper understanding of how occupants interact inside...

Today’s assurance vs. tomorrow’s assured networks, Part 2 (Reality Check)

In part 1 of this series, we discussed the state of networks heading into 5G, and why we’ll need to move beyond today’s concept of assurance. To achieve tomorrow’s agile, self-organizing networks that can uphold absolute assurance, we’ll need five key components: AI, a...

Machine learning at the edge and in the cloud

Distributing machine learning is key to latency-sensitive applications Today, the vast majority of machine learning algorithms are run in centralized cloud computing facilities. But as 5G opens up a new set of latency-sensitive applications, doing machine learning just in the cloud won't be enough, which...

Intel talks AI/ML for ‘context-aware wireless’

AI/ML can provide location data used to optimize wireless performance Wireless networks are becoming increasingly complex and, with 5G looming, that will only continue as the mix and density of devices, as well as variability in application requirements, grows. A key to managing this complexity...

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