Microsoft has increased its bets on machine learning and analysis. From hiring top data scientists to acquiring niche startups, Redmond took all the steps and turned Azure into one of the best analytics platforms. These investments have begun to pay off for Microsoft. Microsoft has successfully demonstrated and demonstrated the value of data-driven insights to governments, healthcare organizations, and public sector organizations.
Emerging markets that are becoming technology-savvy are the source of new trends in machine learning and artificial intelligence. With its strong presence in India, Microsoft is working with local government and central government in India to bring technology dividends to the public. Microsoft is making cloud, big data, machine learning and data analytics that government agencies can use.
Andhra Pradesh is a state in southern India that was recently split from Telangana. This place is busy building core infrastructure and new capitals. Its chief minister is Chandrababu Naidu, who is considered to have a technological vision. Under his leadership, Andhra Pradesh is accelerating to become India's future technology hub. Its state government and Microsoft signed a memorandum of understanding (MoU) to deal with some complex challenges.
Minimizing student dropouts and increasing employment rates is critical to the developing Andhra Pradesh. The first move between Andhra Pradesh and Microsoft led to an application that could help the state's Ministry of Education predict dropout rates. This Azure machine learning-based tool handles some complex data, including student performance, school infrastructure and teacher skills to find meaningful patterns. The results of the analysis were used by local governments to adjust plans, processes and investments in the most important areas. In Andhra Pradesh, more than 10,000 schools use this cloud-based solution to accurately predict school dropout rates. This will enable the state education department to reduce student dropouts at the right time.
Microsoft India has also applied the concept of machine learning to predicting the rate of degradation after ophthalmic surgery. In collaboration with the LV Prasad Eye Institute (LVPEI), based in Hyderabad, Microsoft has proposed solutions to help hospitals brainstorm and collect millions of clinical data from multiple medical institutions where patients receive eye disease treatment. This also includes demographic details of the patient and their geographic location map.
A group of doctors from LVPEI worked closely with Microsoft to build predictive models for measuring the success rate of ophthalmic surgery. This model will accurately predict the patient's new "eyesight" (naked eye vision, UCVA for short). This solution will help doctors make informed decisions when explaining the procedure and outcomes to patients and, more importantly, reducing pain and medical costs.
Another area in which Microsoft Azure and machine learning have an impact is agriculture. The International Crops Research Institute of the International Semi-Arid Region (ICRISAT) has used Azure Machine Learning to bring digital agriculture to thousands of farmers in Telangana and Andhra Pradesh. The solution includes a mobile app for farmers and a personalized village advisory control panel. This guided seeding application leverages the power of machine learning to infer insights from weather forecasting models, historical data related to precipitation, and crop yields. When these data are combined with machine learning algorithms, the ideal seeding time can be accurately predicted, so that farmers can get the most benefit.
Image source: ICRISAT
The village advisory control panel communicates to farmers the advice on some environmental factors that determine crop yields. The dashboard also incorporates farmland data from many regions of the state that ICRISAT collects and then uploads to Azure. Visual indicators provide important metrics such as soil quality, fertilization recommendations and a seven-day weather forecast. In a recent experiment in Andhra Pradesh, information was sent to farmers in the form of a local language.
Cloud-based machine learning platforms will play a key role in urging local governments to proactively address management and administrative issues. Convenient super-computing power, cheaper storage and ubiquitous web services make modern technology accessible to the general public.
This article taken from: heart compile Janakiram MSV, the machine;: Forbes, author
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