INDIA Trends and Developments Contributed by: Sandra Lisa Philip, Shri Gayathri and Prashanth Shivadass, Shivadass & Shivadass
prevent payments across UPIs. Banks and non-bank - ing financial companies (NBFCs) use AI tools such as Feedzai and Verafin (available in the public domain) to secure payments and stop fraudulent transac - tions, and for identity verification, scam prevention, account monitoring, malware detection, phishing, etc. These systems help reduce manual oversight, speed up decision-making and improve the accuracy of risk assessments. Healthcare and Pharmaceuticals Hospitals and healthcare systems in India are using AI to support diagnostic imaging, clinical decision support, predictive patient risk profiling, personalised treatment recommendations and administrative auto - mation. Leading healthcare networks are deploying AI tools such as Dax Copilot and Storyline AI (avail - able in the public domain) to transcribe clinical notes, generate discharge summaries, support telemedicine and assist with diagnostic workflows, helping address rising patient volumes. AI has emerged as one of the most powerful tools in the pharmaceutical industry as well. Generative AI such as AlphaFold2 (AF2) and NovaFold AI (available in the public domain) are used for molecular design, drug design, etc. This allows for identifying potential drug targets more efficiently, which helps prioritise compounds for experimental testing. Beyond dis - covery, AI also predicts patient eligibility and helps with strategising dosage to identify safer candidates for such experimental testing, eradicating extensive animal testing as a whole. Manufacturing Manufacturing and industrial sectors are increasingly adopting AI to improve operations and reduce down - time. AI-enabled systems support predictive main - tenance of equipment and quality control through automated defect detection and optimisation of pro - duction schedules. AI is also at the heart of robotics and automation. A widely known example is Tesla’s Optimus humanoid robot, which has been developed to carry out tasks such as lifting, assembly or anything that may otherwise be dangerous for humans. While AI adoption in manufacturing currently trails behind banking and healthcare, it is increasing as companies
see the benefits of AI in reducing waste and enhancing supply chains. Retail Consumer goods and retail businesses are using AI for consumer insights, personalised marketing, etc. Retailers use algorithms to analyse large volumes of sales and consumer data, tailoring promotions for dif - ferent customer segments. Similarly, consumer goods companies are embedding AI into product develop - ment to respond swiftly to changes in consumer pref - erences. Marketing AI in marketing is not optional – it is a power source. Smart data analytics, targeted campaigns, content creation, ad creation, data analysis, research and behavioural analysis of customers is impossible in “techade” without AI. Various AI tools have been deployed to execute strategies within minutes instead of weeks. Technology and Telecommunication AI plays a crucial role in enhancing efficiency, reli - ability and customer experience. Telecommunication companies use AI to optimise network performance wherein they predict traffic patterns, managing band - width and detecting faults, thereby preventing service disruptions. On the customer side, AI powers chat - bots and virtual assistants, handles service queries, troubleshoots issues and personalises plans based on usage patterns. Facial recognition technology uses computer vision and machine-learning algorithms to identify or verify individuals based on their facial features. By analysing patterns including distance between eyes, facial con - tours and unique facial landmarks, AI tools can accu - rately match faces against stored databases. This is also being used in areas such as smartphone authen - tication, surveillance and security, access control and digital payments. In workspaces, facial recognition is being used for access control in devices for authenti - cation, in retail environments for customer analytics, and in digital services for onboarding and verification. Apart from the above, generative AI is specifically used across businesses for reviewing documents,
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