Ericsson - Machine Intelligence Addresses Increasing Network Complexity

The complex reality of today's telecommunications systems will only accelerate further with the introduction of 5G, IoT and ongoing industry digitalization. Machine intelligence, using machine learning and other AI technologies, is vital to handling this complexity with more efficiency.

Machine intelligence benefit examples:

Erik Ekudden, CTO, Ericsson, says: "With automation and domain specific AI, the intelligence built into the network platform provides superior performance while optimizing use of scarce radio network resources. We are developing Machine Intelligence solutions across our product portfolio and services to provide the highest performance and most intuitive and easy to use network operations for our customers."

Ericsson Research has been strengthening competence in machine learning and AI since 2007 and the company now holds hundreds of patents in this area. These technologies include everything from basic machine learning to more advanced Deep Learning and Reinforcement Learning techniques, as well as chatbot-like functionality with NLP and image recognition capabilities.

Learn more about our unique approach to machine intelligence and how technologies such as machine learning and artificial intelligence are driving systems for automation and network evolution.

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About Ericsson

Ericsson enables communications service providers to capture the full value of connectivity. The company's portfolio spans Networks, Digital Services, Managed Services, and Emerging Business and is designed to help our customers go digital, increase efficiency and find new revenue streams. Ericsson's investments in innovation have delivered the benefits of telephony and mobile broadband to billions of people around the world. The Ericsson stock is listed on Nasdaq Stockholm and on Nasdaq New York. www.ericsson.com

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