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Telecom

Artificial intelligence and NLP for Telecom

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Tech Features

What does the technology bring in

Fraud detection
using our NLP engine the system can detect anomolies from the recorded voice clippings
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Chatbots
Chatbots understands conumer's requests with limited data points using its deeplearning cognitive capabilities.
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Predictive maintenance
Data-driven insights help companies monitor equipment, learn from historical information, anticipate equipment failure, and proactively fix it.
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Use cases
Automated voice chatbots
As a gatekeeper, chatbots analyze the requests, learn to route and escalate customer queries if necessary, identify sales opportunities and alert the customer to other products and services that might be of interest to them, and handle the bulk of them without human involvement
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Self organising network
A Self Organizing Network (SON) fueled by artificial intelligence can help networks continually adapt and reconfigure based on current needs. It is also beneficial when designing new networks. Since AI-enabled networks can self-analyze and self-optimize, they are more efficient at providing consistent service.
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Fraud detction
These algorithms learn what "normal" activity looks like so can spot anomalies from enormous data sets much quicker than human analysts can to provide nearly a real-time response to activity that needs to be investigated.
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Challenges are just opportunities in disguise We take the challenge!
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Finished projects
145
usecases
179
Deep learning models built
Case studies

Proud projects that make us stand out

Predictive maintenance usig AI and IOT

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The backend system closely monitors all the parameters of the remote site using the IOT devices and thorws alerts whenever there is human intervention required at the remote site. The AI enabled system also provides predictaive maintenance insights thereby reducing the network down time.

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