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Showing posts with label AI adoption. Show all posts

India Steps Up AI Adoption Across Governance and Public Services

 

India is making bold moves to embed artificial intelligence (AI) in governance, with ministries utilizing AI instruments to deliver better public services and boost operational efficiency. From weather prediction and disease diagnosis to automated court document translation and meeting transcription, AI is being adopted by industry verticals to streamline processes and service delivery. 

The Ministry of Science and Technology is also using AI in precipitation-based weather and climate forecasting, among other things, such as the Advanced Dvorak Technique (AiDT) for estimating cyclone strength and hybrid AI models for weather forecasting. Further, a MauasamGPT, an AI enabled chatbot is being developed for delivering climate advisories to the farmers and other stakeholders. 

Indian Railways has implemented AI in automating handover notes for incoming officers and for checking kitchen cleanliness using sensor cameras. According to reports the ministries are also testing the feasibility of using AI to transcribe long meetings, though the technology is still limited to process (not decision) orientation. Central public sector enterprises such as SAIL, NMDC and MOIL are leveraging AI in process and cost optimization, predictive analytics and in anomaly detection.

Experts, including KPMG India’s Akhilesh Tuteja, recommend a whole-of-government approach to accelerate AI adoption, a transition from pilot projects to full-scale implementation by ministries and states. India AI Governance Guidelines have been released by the Ministry of Electronics and IT (Meity), which constitutes an AI governance group comprising major regulatory bodies to evolve standards, audit mechanism and interoperable tools. 

National Informatics Centre (NIC) has been a pioneer in offering AI as a service for central and state government ministries/departments. AI Satyapikaanan, the face verifier tool is being used by the regional transport offices for driver's license renewals and by the Inter-operable Criminal Justice System for suspect identification. Ministry of Panchayati Raj is backing rural governance that is AI-based (Geospatial analytics) service known as Gram Manchitra.

AI is also making strides in healthcare and justice. The e-Sanjeevani telemedicine platform integrates a Clinical Decision Support System (CDSS) to enhance consultation quality and streamline patient data. AI solutions for diabetic retinopathy screening and abnormal chest X-ray classification have been implemented in multiple states, benefiting thousands of patients. 

In the judiciary, AI is being used to translate court judgments into vernacular languages using tools like AI Panini, which covers all 22 official Indic languages. Despite these advances, officials note that AI usage remains largely confined to non-critical functions, and there are limitations, especially regarding financial transactions and high-stakes decision-making.

AI Adoption Accelerates Despite Growing Security Concerns: Report

 

Businesses worldwide are rapidly embracing artificial intelligence (AI), yet a significant number remain deeply concerned about its security implications, according to the 2025 Thales Data Threat Report. Drawing insights from over 3,100 IT and cybersecurity professionals across 20 countries and 15 industries, the report identifies the rapid evolution of AI, particularly generative AI (GenAI) as the most pressing security threat for nearly 70% of surveyed organisations. Despite recognising AI as a major driver of innovation, many respondents expressed alarm over its risks to data integrity and trust. 

Specifically, 64% highlighted concerns over AI's lack of integrity, while 57% flagged trustworthiness as a key issue. The reliance of GenAI tools on user-provided data for tasks such as training and inference further amplifies the risk of sensitive data exposure. Even with these concerns, the pace of AI adoption continues to rise. The report found that one in three organisations is actively integrating GenAI into their operations, often before implementing sufficient security measures. Spending on GenAI tools has now become the second-highest priority for organisations, trailing only cloud security investments. 

 
“The fast-evolving GenAI landscape is pressuring enterprises to move quickly, sometimes at the cost of caution, as they race to stay ahead of the adoption curve,” said Eric Hanselman, Chief Analyst at S&P Global Market Intelligence 451 Research. 

“Many enterprises are deploying GenAI faster than they can fully understand their application architectures, compounded by the rapid spread of SaaS tools embedding GenAI capabilities, adding layers of complexity and risk.” 

In response to these emerging risks, 73% of IT professionals reported allocating budgets either new or existing towards AI-specific security solutions. While enthusiasm for GenAI continues to surge, the Thales report serves as a warning that rushing ahead without securing systems could expose organisations to serious vulnerabilities.