The Discriminatory Dark Side Of Big Data

It has happened again. Researchers have discovered that Google�s ad-targeting system is discriminatory . Male web users were more likely to ...

Chasing Unknown Unknown, The Spirit Of Silicon Valley

A framework that I use to think about problems disruptive technology could help solve is based on what Donald Rumsfeld wrote in his memoir, ...

Disruptive Enterprise Platform Sales: Why Buy Anything, Buy Mine, Buy Now - Part III

This is the third and the last post in the three-post series on challenges associated with sales of disruptive platforms such as Big Data an...

Disruptive Enterprise Platform Sales: Why Buy Anything, Buy Mine, Buy Now - Part II

This is the second post in the three-post series on challenges associated with sales of disruptive platforms such as Big Data and how you ca...

Disruptive Enterprise Platform Sales: Why Buy Anything, Buy Mine, Buy Now - Part I

I think of enterprise software into two broad categories - products or solutions and platform. The simplest definition of platform is you us...

Chasing Qualitative Signal In Quantitative Big Data Noise

Joey Votto is one of the best hitters in the MLB who plays for Cincinnati Reds. Lately he has received a lot of criticism for not swinging o...

Optimizing Data Centers Through Machine Learning

Google has published a paper outlining their approach on using machine learning, a neural network to be specific, to reduce energy consumpt...

Rise Of Big Data On Cloud

Growing up as an engineer and as a programmer I was reminded every step along the way that resources�computing as well as memory�are scarce....

Big Data Platform As Technology Continuum

Source: Wikipedia A Russian chemist, Dimitri Mendeleev, invented the first periodic table of elements. Prior to that, scientists had identif...

The Dark Side Of Big Data

Latanya Sweeney, a Harvard professor Googled her own name to find out an ad next to her name for a background check hinting that she was arr...

Chasing That Killer Application Of Big Data

I often get asked, "what is the killer application of Big Data?" Unfortunately, the answer is not that simple. In the early days o...

Hacking Into The Indian Education System Reveals Score Tampering

Debarghya Das has a fascinating story on how he managed to bypass a silly web security layer to get access to the results of 150,000 ISCE (1...

Unsupervised Machine Learning, Most Promising Ingredient Of Big Data

Orange (France Telecom), one of the largest mobile operators in the world, issued a challenge " Data for Development " by releasin...

Justifying Big Data Investment

Traditionally companies invest into software that has been proven to meet their needs and has a clear ROI. This model falls apart when disru...

Thrive For Precision Not Accuracy

Jake Porway who was a data scientist at the New York Times R&D labs has a great perspective on why multi-disciplinary teams are importa...

A Data Scientist's View On Skills, Tools, And Attitude

I recently came across this interview (thanks Dharini for the link!) with Nick Chamandy, a statistician a.k.a a data scientist at Google. ...

Commoditizing Data Science

My ongoing conversations with several people continue to reaffirm my belief that Data Science is still perceived to be a sacred discipline a...

A Journey From SQL to NoSQL to NewSQL

Two years back I wrote that the primary challenge with NoSQL is that it's not SQL . SQL has played a huge rule in making relational data...

Objectively Inconsistent

During his recent visit to the office of 37 Signals, Jeff Bezos said, "to be consistently objective, one has to be objectively inconsi...

Analytics-first Enterprise Applications

This is the story of Tim Zimmer who has been working as a technician for one of the large appliance store chains. His job is to attend servi...