Infosys NIA

Infosys Nia™
An Integrated AI Platform for the Enterprise
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Infosys Nia incorporates technologies of what was previously known as Infosys Mana

Infosys Nia™

July 19, 2017

The Great Tech Convergence

Posted by Vishwa Ranjan (View Profile | View All Posts) at 3:30 PM

What if I told you that you can have all the efficiency, speed, streamlined operations, accurate forecasting, smart insights, better opportunities, and enhanced revenue, at your fingertips - with the right technology by your side? 

Make that "the right technologies". In the plural. Therein lies the answer. In the plural. It's worth reiterating, because this simple insight is easy to miss. The great tech convergence is the natural coming together of three maturing technologies: the Internet of Things (IoT), Artificial Intelligence (AI), and Augmented and Virtual Reality (AR/VR), that have, thus far, traversed independent trajectories. And when they come together, the whole is far bigger than the mere sum of its parts. 

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July 13, 2017

Why Infosys Nia™ Advanced Machine Learning (Part 1)

Posted by Nicholas Martin Ball (View Profile | View All Posts) at 12:09 PM

Machine learning is often mentioned in the same breath as Artificial Intelligence (AI) these days. There are many who lay claim to the uniqueness of their AI offering because it features machine learning (ML). So what sets Infosys Nia apart? Why is Infosys Nia Advanced Machine Learning better positioned to deliver success for businesses? Let us explore.

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July 12, 2017

Serving an ace with Infosys Nia™

Posted by Sid Bhattacharya (View Profile | View All Posts) at 4:51 PM

"It is very interesting to take a machine, teach it tennis and have it start to talk to us in real-time and be able to provide our fans with that, as it is happening, in context, in real-time."     - Murray Swartzberg, ATP SVP IT and Digital Media. (Click here to view this interview).

This was a very clear overarching message laid out for the ATP-Infosys program but it involved making the machine learn tennis first and then to have it generate the right content/insight at the right time, without being repetitive.

ATP has been collecting game data via the chair umpire console since 1991. So, why reinvent stats and scores for a game that has changed little since the 1990s with respect to data collected and statistics generated during a game? Turns out, with the proliferation of data coming from external sources and connected stadiums, it is now possible to provide a much more engaging experience to tennis fans all over the world.  It is no longer limited to numbers or win percentages. The consumption models for tennis fans have changed dramatically since the 1990s and 2000s with fans now watching the game on mobile devices and sharing their opinions on social media. The consumption model has evolved for players and their coaches too! Players can now wear devices that can track their service games, movement and provide a personalized coaching plan. There is need to present contextual, real time insights and tell the tennis story with visuals and videos.


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