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Focus areas for AI intervention in India - Part 1
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This lesson covers: Focus areas for AI intervention in India - Part 1

Roman Saini is teaching live on Unacademy Plus

Roman Saini
Part of a great founding team at Unacademy with Gaurav, Hemesh. Movies, Guitar, Books, Teaching.

Unacademy user
hello ma'am you're doing a great job. please make a course on 12th economics. thanku
Ankit Mohan Jha
a month ago
right and polity too up to 12
  1. Artificial Intelligence Lesson-4 Presented By: Roman Saini


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  4. In This Lesson Artificial Intelligence Focus areas for Al intervention In India


  5. Artificial Intelligence (Al) Healthcare Healthcare is one of the most dynamic, yet challenging, sectors in India, and is expected to grow to USD 280 billion by 2020, at a CAGR of upwards of 16%, from the current USD 100 billion. Yet, it faces major challenges of quality, accessibility and affordability for a large section of the population. The Government of India has been making a series of large scale interventions to address India's healthcare challenges, viz. transformation of 1.5 lakh Health and Wellness Centers, developing district hospitals to cater to long-term care for non-communicable diseases, Ayushman Bharat Mission, promoting e-Health etc. Despite the obvious economic potential, the healthcare sector in India remains multi-layered and complex, and is ripe for disruption from emerging technologies at multiple levels .


  6. Artificial Intelligence (Al) It is probably the most intuitive and obvious use case primed for intervention by Al driven solutions, as evidenced by the increasing activity from large corporates and startups alike in developing Al focused healthcare solutions. Adoption of Al for healthcare applications is expected to see an exponential increase in next few years. The healthcare market globally driven by Al is expected to register an explosive CAGR of 40% through 2021, and what was a USD 600 million market in 2014 is expected to reach USD 6.6 billion by 2021. . The increased advances in technology, and interest and activity from innovators, provides opportunity for India to solve some of its long existing challenges in providing appropriate healthcare to a large section of its population. .


  7. Artificial Intelligence (Al) Al combined with robotics and Internet of Medical Things (loMT) could potentially be the new nervous system for healthcare, presenting solutions to address healthcare problems and helping the government in meeting the above objectives. . .Al solutions can augment the scarce personnel and lab facilities; help overcome the barriers to access and solve the accessibility problem; through early detection, diagnostic, decision making and treatment, cater to a large part of India. Cancer screening and treatment is an area where Al provides tremendous scope for targeted large scale interventions. .India sees an incidence of more than 1 million new cases of cancer every year, and early detection and management can be crucial in an optimum cancer treatment regimen across the country.


  8. Artificial Intelligence (Al) NITI Aayog is in an advanced stage for launching a programme to develop a national repository of annotated and curated pathology images. Another related project under discussions is an Imaging Biobank for Cancer Moreover, this provides an unprecedented opportunity to use artificial intelligence to improve decision-support in cancer treatment at low cost especially in countries like India NITI Aayog is working with Microsoft and Forus Health to roll out a technology for early detection of diabetic retinopathy as a pilot project. .3Nethra, developed by Forus Health, is a portable device that can screen for common eye problerm


  9. Artificial Intelligence (Al) Integrating Al capabilities to this device using Microsoft's retinal imaging APls enables operators of 3Nethra device to get Al-powered insights even when they are working at eye checkup camps in remote areas with nil or intermittent connectivity to the cloud. The resultant technology solution also solves for quality issues with image capture and systems checks in place to evaluate the usability of the image captured. . Al based healthcare solutions can also help in making healthcare services more proactive - moving from "sick" care to true "health" care, with emphasis on preventive techniques .


  10. Artificial Intelligence (Al) Agriculture .While India has come a long way from being categorised as purely an agrarian economy, agriculture and allied sector still accounts for 49% of India's workforce, 16% of the country's gross domestic product (GDP) and ensures food security to roughly 1.3 billion people. .Agriculture and allied sector is critical to India's growth story. To achieve and maintain an annual growth rate of 8-10% for the Indian economy, agriculture sector must grow 4% or higher rate. .Despite making impressive progress and receiving government attention, the sector continues to be dependent on unpredictable variables, has weak supply chain and low productivity.


  11. Artificial Intelligence (Al) In 2016, approximately 50 Indian agricultural, technology based startups ('AgTech') raised USD 313 million. . For the first time, this sector is seeing widespread participation by startups. Intello Labs, for example, uses image-recognition software to monitor crops and predict farm yields. . .Aibono uses agridata science and Al to provide solutions to stabilise crop yields. Trithi Robotics uses drone technology to allow farmers to monitor crops in real time and provide precise analysis of their soil . SatSure, a startup with roots in India, uses ML techniques to assess images of farms and predict economic value of their future yield. .


  12. Artificial Intelligence (Al) Increasing the share of price realisation to producers: Predictive analytics using Al tools can bring more accurate supply and demand information to farmers, thus reducing information asymmetry between farmers and intermediaries. Developments wrt Agriculture .Berlin-based agricultural tech startup PEAT has developed a deep learning application called Plantix that reportedly identifies potential defects and nutrient deficiencies in the soil Microsoft in collaboration with ICRISAT, developed an Al Sowing App powered by Microsoft Cortana Intelligence Suite including Machine Learning and Power Bl. The app sends sowing advisories to participating farmers on the optimal date to Sow.