Machine Intelligence uses Machine Learning (ML) and Artificial Intelligence (AI) to drive systems for automation and network evolution. Machine Intelligence is reinventing network operations and makes our products much more capable.
In future 5G systems, for manufacturing and intelligent transport solutions (ITS), the ability to automate and leverage on data from distributed systems with real-time capabilities will be critical. This white paper from June 2018 reflects on the technical challenges the R&D community needs to address in order to fully capitalize on the potential of artificial intelligence and machine learning.
In this blog post from June 2018 you will find out how we in our network operations are enabling intelligent operations by introducing AI and ML-driven automation to predict, prevent and handle events without human intervention. With this, we can reveal insights into network performance and operations that were not previously possible.
This blog post from April 2018 describes how machine intelligence can support field service technicians to solve problems more efficiently on-site. When arriving at a fault alarming site, often with multiple alarms being sent, the service technicians cannot count on having internet access, and it might not be easy for them to know where to start searching. And when they find the fault, how do they know if it was the root cause of the problem?
Artificial intelligence and machine learning can be used to leverage the skills of experienced engineers and technicians. A cornerstone in developing automated decision-making is knowledge collection and the subsequent organization of this knowledge. Find out more in this Mobility Report article from June 2018.
Most analysts agree that smart manufacturing is likely to represent the biggest portion of market revenues for the Internet of Things (IoT) in the near future. Smart manufacturing is dependent on industrial automation, which relies heavily on the use of robots and machine intelligence. Find out more from this Ericsson Review article from Feb 2018
By introducing intelligence to predict, prevent and handle events without human intervention we can now bring unprecedented levels of automation. OPEX is drastically reduced and customer experience soars as we gain a deeper understanding in how to efficiently deliver the things that matter to them most.
We have introduced engineering solutions that combine machine learning and human ingenuity across our portfolio to enable networks to self-learn, self-optimize and deliver optimal user experience, allowing you to capitalize on the opportunities of 5G.
Machine Intelligence as a service business in Telecom and IoT
We will be able to offer insights based on network data as a service by introducing machine intelligence in all parts of our portfolio. This will also help drive our capability evolution and our business model evolution.