Power of data analytics and machine learning in sports emphasised

Power of data analytics and machine learning in sports emphasised
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Highlights

Microsoft showcased the power of advanced data analytics and machine learning in sports at the first edition of its Machine Learning & Data Sciences Conference. The company has created a platform for software developers in India to build solutions that could change the way sports administration and sports management are approached today.

Microsoft showcased the power of advanced data analytics and machine learning in sports at the first edition of its Machine Learning & Data Sciences Conference. The company has created a platform for software developers in India to build solutions that could change the way sports administration and sports management are approached today.

A high powered panel of sports and technology personalities including Javagal Srinath and Aakash Chopra, along with Microsoft executives - Joseph Sirosh and Meetul Patel, participated in a discussion moderated by Shamya Dasgupta of Wisden in Bengaluru on Monday.

During the discussion, they exchanged views on the growing impact of technology in sports and how application of Microsoft’s Machine Learning in cricket can be an opportunity for a data-driven approach to cricketing decision making.

This machine learning based platform offers insights into improving accuracy of predicting target scores in weather-interrupted T20 cricket matches. The platform is now available as a Jupyter notebook in Microsoft’s Cortana Intelligence Gallery along with a step-by-step guide for the developer community to build on and make further improvements in the approach across multiple areas such as playing conditions, weather and cricket grounds.

Delivering the keynote at the conference, Joseph Sirosh, Corporate Vice President of Data Group at Microsoft, said, “Data is a strategic asset which, when combined with the cloud and advanced analytics, has the potential to accelerate digital transformation for organisations and society, at large.

Today, we are pleased to extend our machine learning based platform to developers who can now incorporate multiple parameters to intelligently estimate target scores in weather-interrupted T20 cricket matches. We believe the possibilities are vast –from more precisely estimating target scores to monitoring player condition on the field, and to predicting injuries and taking early preventive action.”

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