AfricaCom Q&A – Eva Andren, Head of Managed Services for Ericsson Middle East and Africa
- What role does automation play in developing intelligent networks?
By boosting automation with machine intelligence technologies – such as advanced analytics, deep learning, machine learning and artificial intelligence solutions – predictions and models can be provided that could not be created by humans alone. That’s why we call it “Intelligent Network Operations”. By taking advantage of the data available in the network – as well as various other forms of external data such as weather conditions and adding the intelligence of machines – network operations can be performed in a smarter way.
Applying machine learning and artificial intelligence to automation takes it to a new level – intelligent automation. The objective is to predict events before they happen and take preventative or corrective action to ensure incidents do not occur.
- How is Ericsson using automation to drive value for service providers?
Ericsson has been exploring automation, driven by machine intelligence, in our research labs since 2007, and today we hold hundreds of patents in this area. To meet these new challenges, we have introduced engineering solutions that combine machine learning and human ingenuity across our portfolio to enable networks to self-learn, self-optimise and deliver an optimal user experience, allowing operators to capitalise on the opportunities of 5G.
We will continue to invest in machine learning and machine reasoning to fully exploit the opportunities inherent in new networking technologies. With our global presence, industry insights, domain expertise and thought leadership in machine intelligence, we are in a unique position. We are bringing Intelligent Network Operations to life and automating the MEA telecom industry.
- How can AI solutions accelerate the transformation of service providers?
Service providers are on a journey from legacy telecom service providers to becoming digital service providers. Ericsson’s overarching strategy is to enable this transformation in three principal dimensions – relentless efficiency, end-customer experience and new revenue streams. AI adds functionality and capabilities in all dimensions.