Microsoft India

Microsoft AI unites the abilities of computers with human acumen to mould industries and enhance performance and safety. From agriculture to healthcare and banking to retail, Microsoft is changing the industries with extraordinary technology intervention using Azure AI.

Key AI Initiatives

AI sensors for smart farming

AgritechWeather Forecasting

Government of India, along with Microsoft, has begun empowering small-holder farmers in India to increase income through higher crop yield and greater price control using AI sensors. Microsoft, being the technological partner, is working with farmers, state governments, the Ministry of Electronics and Information Technology (MeitY) and the Ministry of Agriculture and Farmers Welfare to create an ecosystem for AI into farming. Working with the engineering conglomerate Escorts for its cloud and AI technology, Microsoft is enabling precision agriculture capabilities and thus, helping farmers to make informed decisions.

The initiative will leverage the AI-Sowing App powered by Cortana Intelligence Suite including machine learning and Power BI. The app sends sowing advisories to participating farmers on the optimal date to sow. The farmers do not need to install any sensors in their fields or incur any capital expenditure, and just require phones which can receive text messages.

AI Digital Labs

AI EducationAI Research

In June 2019, Microsoft launched AI Digital Labs in collaboration with 10 higher educational institutions to train 1.5 lakh students in India. The institutions include BITS Pilani, BML Munjal University, ISB, Kalpataru Institute of Technology, KL University, Periyar University, Karunya University, SRM Institute of Science and Technology, SVKM (NMIMS) and Trident Academy of Technology. Microsoft will support the institutions with infrastructure, curriculum and content, access to cloud and AI services as well as developer support for three years.

Microsoft Intelligent Network for Eyecare (MINE)

HealthcareMachine Learning

Microsoft launched MINE, a part of Microsoft AI network for healthcare, in collaboration with L V Prasad Eye Institute in 2016. MINE focuses on diverse datasets of patients across geographies to come up with machine learning predictive models for vision impairment and eye diseases. 

Healthcare NExT

HealthcareCloud Computing

Microsoft launched Healthcare NExT in February 2017. It aims to accelerate healthcare innovation through AI and cloud computing. By working side-by-side with the healthcare industry’s most pioneering players, Microsoft is bringing its capabilities in research and product development to help healthcare providers and biotech companies.

AI-Sowing App powered by Cortana Intelligence Suite

AgritechMachine Learning

Microsoft has developed an AI-Sowing App powered by Cortana Intelligence Suite including machine learning and Power BI. The app sends sowing advisories to participating farmers on the optimal date to sow. The farmers do not need to install any sensors in fields or incur any capital expenditure, all they require is a mobile phone which can receive text messages.

Known Products

Azure AI

Azure empowers with the most advanced machine learning capabilities. It quickly and easily deploys machine learning models using Azure machine learning, Azure databricks and ONNX. Azure machine learning is a python-based machine learning service with automated machine learning and edge deployment capabilities. 

ONNX is an open-source model format and run-time for machine learning which enables easy movement between the frameworks and hardware platforms. Azure databricks is an apache spark-based big-data service with Azure machine learning integration.

Bot Service

Microsoft Bot Service helps in creating a bot that can naturally interact with users by easily integrating cognitive services. It uses open-source SDK and tools to build, test and publish a bot to Azure. It gives apps natural language understanding abilities as well as enriched customer support.

Cognitive Services

Cognitive Services infuse apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret user needs through natural methods of communication.


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