Making Data Talk – On Courts, Fields and Grounds

InfyTalk, November 18, 2015

Infosys is revolutionizing the tennis experience for fans, players and coaches by delivering data analytics and in-the-moment insights using data-driven technology. By analyzing match data, coaches get actionable insights to improve training and help tennis players make better decisions on the field. Further, fans and viewers can receive real-time insights on their device on how their favorite players are likely to score or play, thereby increasing game inclusivity and excitement.

Everybody Wins as ATP Serves an Ace with IIP

TechWeek Europe, November 23, 2015

ATP has engaged with Infosys to implement Infosys Information Platform – a data analytics solution that will transform the sport of tennis. Players can register online for tournaments and connect with their competitors. With functions that extract and analyze historical data, viewers will be able to access fresh insights into player statistics. In future, they may even enjoy a virtual reality experience for a 'first-hand' experience of the game.

Interview with Infosys' Sudipto Dasgupta

Strata + Hadoop World 2015, Oct 22, 2015

In this interview, Sudipto Dasgupta, Infosys Associate Vice President and Principal Technology Architect, explores how open-source is a thriving ecosystem that provides a collaborative platform for various disciplines and industries to innovate during their big data journey. He also underscores why drivers such as cost and turnaround time are critical to choosing the right stack. Watch the video to know more.

Drowning in the Data Lake: Why a Simple Data Analytics Strategy is Better than None at all

Computerworld, 23 October, 2015

Businesses must first develop a suitable data strategy before searching for the right analytics tool. Most companies struggle to manage their data overload or are unaware of how to tap into the power of big data. While integrating the old with the new is a key challenge, businesses that want data-driven insights are unsure of how to navigate their enormous pools of data. This article discusses why companies should first focus on creating the right strategy. It also explores some readily-available tools for businesses to make sense of their big data challenges.

Sentiment Analysis of Facebook Data Using Hadoop-based Open Source Technologies

Paper presented at Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference

Enterprises that want to leverage the connectedness of Facebook and capture feedback about their brands need to mine unstructured information residing across Facebook. Recent advances in open source software technologies, particularly in the map reducing paradigm, provide new opportunities for such advanced analytics. This paper illustrates how open source technologies enable companies to conduct brand sentiment analysis using Facebook data.

Transforming Big Data into Fast Data for Quicker Insights, October 2015 edition

Businesses need to focus on transforming big data into fast data to derive insights quickly and make impactful business decisions. Fast data refers to big data solutions that focus on capturing and analyzing high velocity data. This article explores the key features of fast data solutions and highlights some of its use-cases.

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