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Telecom

Optimizing Radio Parameters Using AI

Optimizing Radio Parameters Using AI

Improving Service Quality With Machine Learning

Improving Service Quality With Machine Learning

Smart Power Management for Telecom with AI

Smart Power Management for Telecom with AI

Intelligent Network Monitoring Driven By AI

Intelligent Network Monitoring Driven By AI

Combating Fraud in Telecom Industry With AI

Combating Fraud in Telecom Industry With AI

Social Media Listening With NLP

Social Media Listening With NLP

Customer Churn Prediction & Prevention Using Machine Learning

Customer Churn Prediction & Prevention Using Machine Learning

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Optimizing Radio Parameters Using AI

The Problem It can take telecom companies thousand of hours to perform a network-wide analysis for optimizing radio parameters using conventional approach. Optimized radio parameters can increase...

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Improving Service Quality With Machine Learning

The Problem It is vital for telecom companies to provide and maintain good service in order to retain customers. Good service correlates to business growth and customer...

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Smart Power Management for Telecom with AI

The Problem Telecom operators across the globe are proactively working towards making networks sustainable using green energy and by reducing energy consumption. This is also vital for...

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Intelligent Network Monitoring Driven By AI

The Problem The size of telecom networks has increased manifolds in the recent years. Troubleshooting and monitoring the network manually is now becoming quite tedious and nearly...

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Combating Fraud in Telecom Industry With AI

The Problem Telecom fraud has existed for quite a long time now. The earliest instance dates back to the 19th century. Telecom fraud costs the industry billions...

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Advanced AI-Driven Back-Office Process Automation

The Problem Every organization has back-office operations that have to be dealt with a day-to-day basis. These tasks may include: accounting, payroll, purchase order processing, data entry,...

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Analytics Driven Decision Making

The Problem Organizations have large volumes of data related to different aspects regarding their business coming in from multiple sources. It is impossible for humans to process...

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Social Media Listening With NLP

The Problem Organizations which do not have a social media listening strategy are missing out on valuable data available to help improve their organization. It is in...

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Rapid Document Digitization with NLP

The Problem To be able to derive analytics from data it is first required to collect and organize data in a digital format. Doing this task manually...

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Customer Churn Prediction & Prevention Using Machine Learning

The Problem According to reports, cost of acquiring new customers is considerably higher than retaining existing customers. Churn also equates to lost revenue. Even a 1% churn...

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