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 TEOCO launches Helix 9.1 with advanced self-learning analytics for automated...
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TEOCO launches Helix 9.1 with advanced self-learning analytics for automated service assurance

New and improved analytical, self-learning and automation features deliver more efficient network management for operators and improved quality of service for subscribers

FAIRFAX, VA., USA – 10 May 2016 – TEOCO, the leading provider of assurance, analytics and optimization solutions to communications service providers (CSPs), today announced the launch of Helix 9.1, the latest version of its Service Assurance solution. The latest version of Helix includes new self-learning analytics and automation features that are designed to enable proactive management of the network and reduce operational costs for operators, while maintaining the optimal network experience for customers.

The new version of Helix uses analytics in an innovative new way by incorporating it into the core engineering and operations processes for analyzing network services and behavior. In Helix 9.1, the new features enable operators to use analytics and automation to detect irregular network behavior and performance faults as well as anticipate network and service malfunctions before they happen, and to proactively resolve these problems before they affect customers’ quality of service.

Helix 9.1 offers additional Customer Experience Management (CEM) functionality including smart analytics, which provide rapid identification and diagnosis of network problems. It also includes new automated geo-location capabilities that accurately detect problematic areas in the network, to ensure more effective and efficient network troubleshooting.

“The new version of Helix provides operators with the unique insight needed to bring together separate datasets, and then identify and understand network performance issues that would otherwise be hidden within the huge amounts of data and different operational silos,” said Shachar Ebel, TEOCO’s CTO. “With Helix’s enhanced analytical, self-learning and automation capabilities, operators can manage their networks more accurately, efficiently and proactively. They can control costs, reduce network issues, and deliver a reliable high quality service to their subscribers.”

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