Ericsson is announcing a company-wide approach to centrally position machine intelligence across its entire organization and customer operations.
This includes the introduction of artificial intelligence (AI) technologies that will enable networks to self-optimize, improve efficiency, and deliver optimal user experiences.
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.