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Amdocs 2022 Predictions: 5G, AI and More

vmblog predictions 2022 

Industry executives and experts share their predictions for 2022.  Read them in this 14th annual VMblog.com series exclusive.

5G, AI and More

Over the past year, we've seen many changes that forced technology to evolve more rapidly than ever. From large-scale cyberattacks to the introduction of the Metaverse, the stage has been set for new opportunities and challenges to come.

As we look ahead, leaders at Amdocs shared predictions of what to expect in 2022.

2022 + 5G = New experiences beyond speed

There's no denying that 5G was one of the dominant discussions in the communications industry last year. Niall Norton, General Manager, Amdocs Open Network and CEO of Openet, an Amdocs company, foresees new innovations in 5G that will move discussions away from just faster experiences, but a platform for innovation.

"Standalone 5G will herald the real innovations and expanded partnership that 5G can deliver, moving the discussion away from just ‘faster 4G.' Service providers will be able to better enrich their offerings for both enterprise and consumers alike," said Norton. "It's the ability to offer network slicing, guaranteed quality of service and exposure of the network through Open API's and network functions like NEF (Network Exposure function) or NWDAF (Network Data Analytics Function) that will enable this.  Thus, we'll finally move beyond the traditional "faster streaming" scenario many lean on today."

In regard to 5G experiences, Norton said, "Expect entertainment, learning and working to be advanced by virtual reality and augmented reality overlays. On the business side, expect private enterprise networks to be offered by communication service providers to their enterprise customers. These businesses will be able to design their own experiences on the 5G networks and monetize these unique experiences to create and control themselves."

Angela Logothetis, CTO of Amdocs Open Network, agrees that 5G will evolve, with AI, cloud and automation being a critical aspect of its change.

"We're starting to see "real" 5G use cases beyond faster connectivity including tangible society and business-changing scenarios for the first time," said Logothetis. "For instance, protecting the stability of our food chains with AI, a new experience in ridesharing with remotely driven cars, and improving the efficiency and predictability of our supply chains with IoT.  With these experiences comes the need to collect massive amounts of data, run intricate processes for AI that can make predictions about what's to come. As enterprises decide what goes on the cloud or edge, uses cases such as these will drive those decisions."

AI advances in giant steps

As AI is used to make better predictions, but also integrates deeper into the connected device ecosystem, Avishai Sharlin, Division President of Amdocs Technology, foresees AI making big leaps in the cloud.

"Public cloud vendors are becoming the AI leaders as they provide many of the services organizations can't do on their own," said Sharlin. "As the democratization of these AI programs come to more developers and consumers, we'll see areas like face recognition, assistants like Siri and Alexa and more integrated into more products than ever before. Beyond this, we'll see robotic process automation (RPA) having its moment as well, providing automation of complex processes. If we can transform this software into robots, digital transformation becomes easier and anything repetitive can be built into the software."

Samit Banerjee, Division President, Amdocs Cloud Services also has a prediction for AI, suggesting that it will further integrate with operations to keep pace with digitalization.

"With exponential growth in digitalization, industries are adapting to virtual methods for running their business. Service providers are proactively developing zero touch operations to improve their operational efficiency and customer experience by reducing human interaction. For communications service providers (CSPs), zero touch operations means automating each phase of operations, using AI to predict patterns of anomaly implement, and auto healing in different scenarios." Banerjee continued, "The fully automated system would significantly reduce the OSS and BSS operational cost and improve time to market, service quality & customer satisfaction."

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Published Wednesday, November 17, 2021 7:40 AM by David Marshall
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