DECEMBER 20229The Aadhaar system, the largest biometric identity project in the world, and India's drive towards digitization and it has created new applications for artificial intelligence and data analyticswith costly and time-consuming manually driven operations. The influence of AI-powered automation on manufacturing use cases like assembly line production, inventory management, testing and quality assurance, and so on, is gradually becoming increasingly apparent to businesses. Even though they are still in their infancy, this industry is adopting AR and VR technologies for use cases like prototyping and troubleshooting.Final ThoughtsIndia is in a difficult situation since one region of the nation still adheres to long-standing customs and traditions. The opposing side welcomes technological advancement, whether it is through UPI transfers, QR codes, or even the Aarogya Setu app. However, due to the sheer number and diversity of languages, cultures, and political systems, AI will neither fail to find areas where it can have a significant impact nor encounter fewer difficulties when being put into practice. To promote coordination between academia, government, industry, NGOs, and patient advocacy groups, the government must also invest in and create public-private partnerships across the healthcare sector.It will be vital to how AI systems are integrated, as well. Human-in-the-loop and human-centric designs will reduce risk and enable healthcare personnel to comprehend how a decision is made and how to apply this information to therapy. A workforce that is educated and capable of utilizing AI in healthcare will be created through investments in data literacy and expanding the healthcare workforce. India can become a leader among other emerging economies in bridging rural-urban gaps and achieving Sustainable Development Goals if it adopts this technology slowly and carefully.
< Page 8 | Page 10 >