Revenues for communications service providers to be boosted by NEC's AI

| Updated: Feb 20, 2017 22:53 IST

New Delhi [India], Feb 20 (ANI): NEC Corporation today announced that NEC Laboratories Europe has developed a new technology, Net2Vec that brings Artificial Intelligence (AI) to communication networks. Net2Vec uses novel deep learning algorithms that allow the efficient analysis of users' data in real-time. This means that it contributes to the growth of communications service providers' (CSP) revenue by enabling them to proactively manage customer retention, protect users from threats, identify users' needs and respond with different tariff plans, and monetize network data via advertising. CSPs today face many pressures, including the maintenance of revenues. They are increasingly looked at as data pipes, where revenues are channeled to over-the-top (OTT) players, and average revenue per user (ARPU) fails to grow as expected. With Net2Vec, NEC provides secure, real-time, scalable analysis of streaming data at 10 Gbps using patented machine learning technology that addresses critical challenges for increasing CSP revenues. The system works well also for mobile application traffic even when data is encrypted (HTTPS) or cookies are blocked. "At present, there are neither any AI solutions to address all of these problems for operators, nor existing solutions optimized for network data," said Dr. Saverio Niccolini, General Manager at NEC Laboratories Europe. "Net2Vec provides an optimized system, tailored to the network, and based on existing deep learning solutions." Net2Vec technology can use as input the data coming from existing sources, including equipment logs, measurement probes, user data and Deep Packet Inspection (DPI) equipment. The solution is available for customer trials, with a system that can run at an operator's premises, collect data and show results. NEC will be demonstrating Net2Vec at Mobile World Congress (MWC) 2017 at the Fira Gran Via, Barcelona, from February 27 to March 2, in Hall 3, stand #3M30. (ANI)
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