Innovation in AI is not being limited to manufacturing, finance and IT but is making its presence felt in healthcare, education, and agriculture. From leveraging Machine Learning (ML) models to predict (and therefore prevent) student dropout rates to using Virtual Reality (VR) modules to explain complicated science and math concepts, Indian education is being positively impacted. In healthcare, AI is innovatively being used for screening, monitoring, and diagnostic assistance, with examples ranging from reading and analysing chest X-rays, radiology images, and electrocardiography (ECG), to automatically scanning pathology slides and assessing images for signs of retinopathy.
The year 2018 has seen the government in partnership with companies and universities explore AI, IoT, and Big Data to seek out solutions to problems in India’s agriculture sector. A pilot project on precision agriculture powered by AI was launched in Assam, Bihar, Jharkhand, Madhya Pradesh, Maharashtra, Rajasthan, and Uttar Pradesh. By ensuring that the crops and soil receive exactly what they need for optimum health and productivity, NITI Aayog’s pilot project will aim at improving yields of small landholders. AI technologies are also impacting areas such as pest surveillance, climate control, controlled irrigation, and warehouse management.