Ericsson is revamping its Support Services by complementing the existing Support Services with predictive analytics and deep learning, introducing more systematic control of software changes, and speeding up network-level fault isolation and recovery.
Ericsson said it will also provide actionable intelligence that enables operators to achieve new levels of network stability.
Ericsson's new approach to Support Services enables operators to focus on managing network transformation and implementing new technologies such as virtualization, the Internet of Things and 5G.
As businesses of all kinds reinvent themselves to realize the full potential of data, operator networks are coming under increasing pressure to connect anything and everything, said Ericsson. The introduction of different use cases such as video and audio on demand, self-driving vehicles and factory automation will require network latencies under 10 milliseconds, with no room for error.
In other trials and early deployments, Ericsson claims that it has enabled operators to achieve a near-perfect success rate in handling software changes and drastically reduced emergency recovery time from 4 hours to just 60 minutes. In one example, a European operator was able to reduce network incidents by 30 percent despite tripling the total number of upgrades per annum.
Fredrik Jejdling, Head of Business Area Networks, Ericsson
Through close collaboration between our support engineers and our customers' operations - and by making use of automation, machine learning, and other artificial intelligence techniques - we're putting the zero-defect network vision within our customers' reach.
Rodrigo Orozco, Head of Network Operations, Entel Chile
We are working with Ericsson to explore the power of data analytics to enhance network operations. Together, we were able to prevent approximately 85 percent of critical incidents in the network. This proactive approach significantly reduced the impact of any network issues on our end users.
