siliconindia | | DECEMBER 20229is one of the world's fastest-growing economies with the second-largest population, and AI-focused innovation is a significant opportunity. The Aadhaar system, the largest biometric identity project in the world, and India's drive toward digitization has created new applications for artificial intelligence and data analytics. Greater visibility, insights, and metrics leveraged to drive changes are made possible by the interlinking of Aadhaar with banking systems, the PDS, and numerous other transaction systems. AI can help with more proactive planning and formation of policies and roadmaps, in addition to leveraging these to improve citizen quality of life while reducing inequitiesIndustries where AI is Having an ImpactHealthcareThe healthcare systems in India face unique difficulties, including those related to availability, quality, and low levels of awareness. However, each offers a window of chance for AI to usher in change. For instance, AI-enabled systems can address communication barriers between patients and clinicians, expand healthcare services to low-income or rural areas, teach physicians and nurses, and more. Government-funded initiatives like NITI Aayog and the National Digital Health Blueprint have also underlined the need for digital transformation in the healthcare sector. In the areas of drug discovery and epitope identification for vaccine development, artificial intelligence (AI) and machine learning (ML) are being applied, and they have the potential to speed up and reduce the cost of the process.E-commerceDue to AI-based marketing methods, the Indian e-commerce market has already experienced significant growth. However, as customer behavior is influenced by various values and expectations, gaining market share for retail brands is among the most challenging tasks in the world. It would be simpler to reach out to different populations using AI and ML technologies supported by data science without compromising the context of the campaign.ManufacturingThe manufacturing sector has historically operated with costly and time-consuming manually driven operations. The influence of AI-powered automation on manufacturing
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