News Broadcasting
I&B ministry forms Joint Working Group for audience measurement sampling
Mumbai: The ministry of information and broadcasting (MIB) has formed a Joint Working Group to formulate a mandate for exploring data capturing capabilities in Set Top Boxes (STBs) for audience measurement sampling.
With Prasar Bharti CEO Shashi Shekhar Vempati as the chairman and DTH association president Harit Nagpal as a member, the joint working group will have one representative each from MeitY, BIS, Barc India, and AIDCF. It will submit its report to the I&B ministry within the next four months.
The current guidelines for the TV Rating Agencies prescribe the use of panel homes, drawn by establishment survey and representative of the TV viewing population, for carrying out the Audience measurement. However, the latest recommendations from the Telecom Regulatory Authority of India (Trai) and TRP committee headed by Prasar Bharati CEO suggested combining traditional sample-based statistical approaches with big data approaches like Return Path Data in STBS.
The new working group has been entrusted to study different aspects of the data capturing including Return Path Data (RPD) in the context of the audience measurement, international practices, and security of the viewership data. “It will also study successful global best practices in RPD, like that of Canada, the models undertaken by Barc India and other independent experiments by DTH operators and other relevant stakeholders,” said the ministry on Wednesday.
The Group will specify minimum standards for RPD capable STBS, SOPs for certification and audit of the same, and specify common protocols, data standards, and modifications to current rating methodology so that data from RpD capable STBS could be integrated into the current TV ratings system.
Additionally, it will specify minimum standards for any smartphone-based Apps to augment the above proposed RPD system for integration into the current TV ratings.
-Specify SOPs for certification and audit of the same.
-Evolve a consensus for how such different data sets including RpD/ smartphone-based data collection will be priced/ costs shared within the framework of the TV ratings system.
-Specify consent-based privacy framework to govern all such data collection and use within TV ratings.
-Establish timelines for rollout of above with a clear roadmap to guide all stakeholders while laying out points of responsibility for the same.
News Broadcasting
India Today Group debuts AI anchor ‘Sutra’ at AI Impact Summit 2026
Sutra aims to simplify live policy debates using sovereign AI models
NEW DELHI: India Today Group has unveiled Sutra, an AI-driven news anchor designed to deliver real-time, contextual reporting, marking the group’s latest push to integrate artificial intelligence into mainstream journalism.
The AI anchor was introduced at the India AI Impact Summit 2026 in New Delhi and developed in collaboration with BharatGen, with the initiative showcased by the Ministry of Electronics and Information Technology.
India Today Group said Sutra is built to navigate complex policy discussions and fast-moving developments by synthesising information into concise, accessible insights, aimed at narrowing the gap between high-level debates and public understanding. The AI anchor was used to surface live takeaways from key sessions at the summit.
India Today Group chief AI officer Nilanjan Das, said the project was focused on clarity and accessibility without diluting editorial rigour. He added that working with BharatGen aligned the group’s AI ambitions with India’s broader push towards sovereign technology capabilities.
BharatGen CEO Rishi Bal, said the partnership reflected a shift from basic automation towards deeper contextual intelligence in media. He emphasised the importance of indigenous, multimodal AI models capable of understanding Indian languages, regional dialects and cultural nuance, particularly as AI-driven news formats gain traction.
The launch positions India Today Group among the first major Indian media houses to deploy an AI anchor backed by home-grown technology, underscoring a growing convergence between journalism, public policy and sovereign AI infrastructure.
