Realize business value from big data with Infosys data analytics solutions.

« May 2013 | Main | October 2013 »

September 17, 2013

" Big Data - Most promising area from both a technology and business perspective ", Vishnu Bhat

Vishnu Bhat, Senior Vice-President and Global Head, Cloud and Big Data, was a part of an expert panel brought together by to discuss talent required to drive the big data revolution in today's industry.  Vishnu Bhat said "I think Big Data is one of the most promising areas that we see today both from technology and business perspective. And as the opportunity out there is so large, I think we have barely scratched the surface. That is also the reason why it cannot go through the hype-cycle that so many other industries experienced."

Details of the panel discussion appeared on on 8th Sept, 2013 courtesy

View image to read the entire feature.

Taming the Elephant "10 Big Data trends for 2013" - Coverage in Hindu Business Line

Earlier this year, Infosys released an infographic titled taming the Elephant - '10 Big Trends for 2013'. This infographic was covered in the Hindu Business Line's' Tech Bytes' column on July 19, 2013. A couple of the trends are as follows - 

The information strategy - still in formation - While enterprises will be the "inundata'd" with a hybrid big data dump, the need of the hour is to turn this into a flexible, manageable information ecosystem

Big Data - of the people, by the people, for the people - Cloud-based and open source tools will help democratize big data to take it out of the realm of expensive resources and high computing infrastructure - giving even smaller companies the ability to leverage big data for business insights

The infographic is courtesy Hindu Business Line

How to Sketch Cloud BI and Data Analytics

This article appeared in the IT Next magazine and featured Sandeep Bhagat, Principal Architect, Big Data and Analytics, Infosys. In the article, Sandeep said, "Most BI systems hold confidential analytical data about enterprises and hence it is important to get buy-ins from business to host business sensitive data on the cloud environment".

Click here to read the entire article, courtesy IT Next

Apps to Profile Fraudsters based on Social Behavior

"With the world going social and large amounts of operational data organizations collected over the last decade, data is getting BIG-petabyte big-and this tall order has assumed somewhat insurmountable proportions. For instance, bankers are looking at big data to tell them which customers are at the greatest risk for account take-over fraud. Automotive insurers are seeking to identify, with big data analysis, those exact customers who are considering a new car purchase with their next insurance renewal. And this has set off the trend to procure big data point solutions, including those on social computing networks-for each business function, and each process requirement." Said Vishnu Bhat, Vice-President and Global Head Cloud and Big Data in a feature that was published on Data Quest on 19th March 2013.

Click here to read the entire feature, courtesy Data Quest

"Mass scale enablement of our talent pool and investing on IP creation - Strategy for Big Data going forward" Rajeev Nayar

Rajeev Nayar, Associate Vice President and Head, Big Data Practice at Infosys was featured in an article "The Big Data opportunity for Indian IT service providers "on Information Week that featured on 27th August, 2013.  

Commenting on Infosys' big data strategy, Rajeev said "In Infosys, we started the Big Data journey back in early 2010 when the term Big Data was not even coined. We worked with some global companies in the industry to create their strategy around Big Data technologies to transform their IT and business at much lower cost at that point of time. At the same time, we also spotted the need and opportunity to create our own IP around the gaps in the Big Data technology space, which eventually we launched as our solution 'BigDataEdge' in February 2013. To keep up the momentum, our strategy going forward is to tap the Big Data Space in two ways -- mass scale enablement of our talent pool in Big Data and related technologies and churning out more IP"

Click here to read the complete article, courtesy Information Week