India expands AI-ready data ecosystem to boost public services


Daijiworld Media Network - New Delhi

New Delhi, Mar 23: India has made significant strides in building AI-ready public data infrastructure, with several digital platforms enhancing access to official statistics and supporting artificial intelligence deployment across sectors such as health, agriculture, and weather services, according to an official statement.

One of the key initiatives is e-Sankhyiki, launched in 2024. The platform currently hosts 21 statistical products with over 136 million records, allowing users to directly query datasets, integrate them with analytical tools, and automate reporting processes.

It also offers a unified interface to access multiple datasets, improving efficiency in data analysis and decision-making.

Another major system, the National Data and Analytics Platform, aggregates datasets from 52 ministries across 31 sectors. It presents information in a structured format and provides built-in tools for data analytics and visualisation.

In the healthcare domain, the government introduced the Benchmarking Open Data Platform for Health (BODH) in February 2026. The platform is designed to evaluate AI models using anonymised real-world datasets, assessing their performance, robustness, bias, and reliability before large-scale deployment. This helps ensure that AI systems meet clinical and public health standards.

BODH also enables developers to train and test AI systems, while allowing regulators to conduct structured third-party evaluations with higher statistical confidence.

Beyond healthcare, meteorological agencies are increasingly using AI and machine learning for applications such as short-range weather forecasting, rainfall prediction, fire detection, and fog forecasting.

The government noted that India’s growing ecosystem of AI-enabled data platforms is transforming how users interact with public datasets, strengthening governance and enabling more responsive, data-driven decision-making across sectors.

 

  

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