Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

IMC 2024: Airtel Showcases New Feature of AI Spam Detection

IMC 2024 Airtel Showcases New Feature of AI Spam Detection

In a groundbreaking move to tackle the country’s spam problem, Bharti Airtel has introduced India’s first AI-powered, network-based spam detection solution, designed to significantly reduce spam calls and messages for its users. 

As the first solution of its kind offered by any telecom provider in India, this tool provides real-time alerts for suspected spam calls and SMS messages. The service is free and will be automatically activated for all Airtel customers without the need to request activation or download any app. 

Visitors at the Airtel booth saw a demonstration of the AI-powered spam detection system, which displays a “Suspected Spam” banner on subscribers’ dialer screens when a call from a potentially spam or scam number is detected by Airtel’s in-house AI model. 

Leave a Reply

Your email address will not be published. Required fields are marked *

Airtel AI Powered Spam Detection Tool Upgraded with New Features
Telecom Industry Worldwide Innovation

Airtel AI Powered Spam Detection Tool Upgraded with New Features

After flagging over 27.5 billion spam calls through its AI-driven detection system, Airtel has rolled out two major upgrades aimed at strengthening its spam protection capabilities. Customers will now receive spam alerts for both calls and SMS messages in their preferred Indian languages, with support for 10 regional languages initially and more to be added […]

Read More
TRAI Mobile Subscriber Data January 2025- Jio and Airtel Gain Mobile Users, Vi and BSNL Continue to Lose Subscribers
Regulatory Telecom Industry

TRAI Mobile Subscriber Data January 2025- Jio and Airtel Gain Mobile Users, Vi and BSNL Continue to Lose Subscribers

Reliance Jio and Bharti Airtel added mobile subscribers in January 2025, while Vodafone Idea (Vi) and Bharat Sanchar Nigam Ltd. (BSNL) reported continued user losses, according to data released by the Telecom Regulatory Authority of India (TRAI).  Subscriber Additions  Bharti Airtel led the month with a net addition of 16.5 lakh users, followed by Reliance […]

Read More
Good Indus Towers Dividend Ahead of Q4 Results
Telecom Industry Telecom Infrastructure

Good Indus Towers Dividend Ahead of Q4 Results?

Telecom infrastructure provider Indus Towers is believed to have recovered the remaining ₹500 crore owed by key client Vodafone Idea (Vi), potentially paving the way for a dividend announcement, analysts said. With rising free cash flows, the company is expected to declare dividends when it releases its Q4 FY25 results on April 30.  “We expect […]

Read More
preload imagepreload image