Microsoft Focuses On Machine Learning, Offers Multiple Solutions


From Right – Shamya Dasgupta – Senior Editor, Wisden India; Aakash Chopra – former Indian cricketer; Meetul Patel – General Manager, Microsoft India; Javagal Srinath – former Indian cricketer and Joseph Sirosh – Corporate Vice President – Data Group, Microsoft at the conference

Machine learning is one of the building blocks that Internet of things is based on and Microsoft seems to be bang on target in the journey of the future connected world. To demonstrate the promises of machine learning and artificial intelligence the company  hosted the first edition of Machine Learning and Data Sciences conference in India and unveiled many solutions for industry verticals like education, healthcare, sports and government services.

For example, in sports, Microsoft unveiled an Azure Machine Learning based approach for calculating target scores in weather-interrupted T20 cricket matches. It uses machine learning, applies advanced analytics to past data and existing mathematical formulation to derive the outcome. The platform is now available as a Jupyter notebook in Microsoft’s Cortana Intelligence Gallery for software developers. Microsoft said this platform can be used by developers to build on and improve using existing data across multiple areas such as playing conditions, weather and cricket grounds.

Similarly in education, Microsoft is working with the Government of Andhra Pradesh on a machine learning based model to analyze and predict drop outs and take preventive action in schools. It has engaged with L. V. Prasad Eye Institute to build a predictive model that helps predict regression rates for eye operations, enabling doctors to pinpoint the procedures needed to prevent and treat visual impairments. To aid digital agriculture in Andhra Pradesh, Microsoft has partnered with ICRISAT to provide powerful cloud-based predictive analytics to empower farmers with crucial information and insights to help reduce crop failures and increase yield, in turn, reducing stress and generating better income.

“At Microsoft, we see tremendous possibilities to partner in India’s digital transformation with our transformative technologies, our offerings and local cloud services. Microsoft’s capabilities and pioneering work in the field of machine learning in India is helping bring efficiencies in the fields of agriculture, healthcare and education,” said Anil Bhansali, Managing Director, Microsoft India (R&D).

The Machine Learning and Data sciences conference is being held in Bangalore and showcases solutions based on  Big Data, Machine Learning, Artificial Intelligence and Open Source technologies.  The conference will host 600 participants, including data scientists, students, developers, government elites, start-ups, cricketers and Microsoft experts, who will share new insights and showcase powerful solutions that are driving digital transformation for organizations and communities in India and worldwide.

“Cloud based services for Machine Learning and Big Data, together with the Internet of Things (IoT) have the potential to revolutionize every aspect of our lives, from sports, healthcare and education and even government.  At Microsoft, our ambition is to democratize the access to these technologies so that software developers can build, innovate and transform the world with them,” said  Joseph Sirosh, Corporate Vice President of Data Group at Microsoft.

“I am thrilled to be part of the first ever Machine Learning and Data Science Conference in India, and I am looking forward to showcasing unique platforms such as the Cortana Intelligence Suite that are helping customers harness the power of Artificial Intelligence,” he added.

The two-day Machine Learning & Data Sciences Conference will also conduct a hackathon involving student developers, coders, engineers of artificial intelligence, data science, machine learning and give them an exposure to pitch their ideas to top Indian VCs and Microsoft executives.

Leave a Reply

Your email address will not be published. Required fields are marked *