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Next-generation A.I. Is Ready For Liftoff

Apr 21, 2020

Widespread use of artificial intelligence (A.I.) and virtual reality (VR) has been on the horizon for quite some time, contingent in part on the successful rollout of fifth-generation (5G) wireless technologies. Over the past few years, A.I. adoptions have begun to gain momentum, a trend that will only continue. Global A.I. software revenues are projected to increase from $9.5 billion in 2018 to $118.6 billion by 2025, according to reports from market intelligence firm Tractica.

A.I. capabilities and components are being embedded in 5G infrastructure to enable everything from VR-enhanced gaming and smart consumer products to intelligent machine learning in heavy industries and A.I.-enhanced health care. To be sure, the use cases are exciting. Fleet management companies can gather logistical data about every aspect of vehicle performance. By using A.I. to apply algorithms that analyze that data, managers can optimize routes based on weather and traffic conditions. They can also flag operator driving patterns that lead to excessive vehicle wear, eliminate unnecessary repairs, and increase savings.

Smart cities can employ A.I. to ease congestion by monitoring pedestrian crossings and changing the tempo of signal lights to let vehicles flow freely when foot traffic is light. The use of A.I. in retail will continue to create more sophisticated self-service interactions. And in health care, outpatient monitoring through connected wearables will provide real-time data to improve medical treatments and physician response times.

Multinational technology company Huawei uses embedded A.I. in the infrastructure it builds, such as antennas and networking hardware, helping it to accelerate installation site preparation, optimize bandwidth allocation, and shorten incident and problem resolution times.

“We use deep learning–based image-recognition A.I. technology to inspect the quality of wireless base-station installations as well as to analyze and save on energy usage,” says Peter Liu, distinguished technologist for Huawei’s R&D subsidiary in the United States

The success of all the possible use cases for 5G, including A.I. and VR deployments, is the result of bringing compute power and storage closer in proximity to the devices and data sources. Edge computing ensures the nanosecond data transfers and low latencies that smart homes, enterprises, factory floors, and autonomous vehicles will require.

A.I. is even helping those who don’t yet have access to 5G networks. As businesses and consumers continue to rely on current 4G LTE data speeds, they’ll benefit from infrastructure improvements made possible by companies like Huawei. In addition to using A.I. algorithms to ensure seamless connectivity and improve 5G site designs through simulation models, Huawei is driving new A.I. edge capabilities to make intelligent 5G services a reality for consumers and businesses across the U.S.