Introducing predictive analytics and deep learning, systematic control of software changes, and speedy network-level fault isolation and recovery
Automation, machine learning and artificial intelligence empower Ericssons support engineers working with customer operations
Enabling operators to reach new levels of network stability and focus on introducing new technologies such as virtualization, Internet of Things and 5G
To help operators cope with the demands inherent in connecting an increasingly complex world, Ericsson (NASDAQ: ERIC) is introducing a new approach to Support Services. It involves complementing Ericssons 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 will also provide actionable intelligence that enables operators to achieve new levels of network stability.
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. 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.
Fredrik Jejdling, head of Business Area Networks at Ericsson, says: As operators face increasing network complexity with the introduction of new use cases, they must become more proactive. Through close collaboration between our support engineers and our customers operations - and by making use of automation, machine learning, and other artificial intelligence techniques - were putting the zero-defect network vision within our customers reach.
Rodrigo Orozco, Head of Network Operations at Entel Chile, says: 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.
In other trials and early deployments, Ericsson 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.
Paul Rizzuto, industry analyst at GlobalData (previously Current Analysis), says: Ericssons holistic approach to network operations addresses increasing complexity facing operators as they face the challenges of supporting virtualized and hybrid environments. The companys connected engineers are augmenting their deep knowledge base with real-time analytics and intelligence tools to create a strong collaboration between human and machine.
Ericssons 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.
The enhanced Ericsson Support Services offering will consist of three key areas: Predict and Prevent (available at the end of July), Analyze and Change (available now) and Isolate and Recover (available at the end of June). These new Support Services capabilities are part of Ericssons recently introduced Engineered Intelligence approach.
NOTES TO EDITORS
Ericssons Support Services
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Ericsson is a world leader in communications technology and services with headquarters in Stockholm, Sweden. Our organization consists of more than 111,000 experts who provide customers in 180 countries with innovative solutions and services. Together we are building a more connected future where anyone and any industry is empowered to reach their full potential. Net sales in 2016 were SEK 222.6 billion (USD 24.5 billion). The Ericsson stock is listed on Nasdaq Stockholm and on NASDAQ in New York. Read more on www.ericsson.com.
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Introducing predictive analytics and deep learning, systematic control of software changes, and speedy network-level fault isolation and recovery
