Gurjeet Singh Quotes

We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.

The big mystery of Big Data is causation versus correlation.

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.

The people who are thinking most about big data right now are corporations and governments.

Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.

Evolving technologies that allow economists to gather new types of data and to manipulate millions of data points are just one factor among several that are likely to transform the field in coming years.

Our ability to do great things with data will make a real difference in every aspect of our lives.

Most of 'big data' is a fraud because it is really 'dumb data.'

Business analytics or predictive modelling is a $100 billion industry, and $41 billion is spent on outsourced business analytics every year. I think that's about twice the size of the movie industry - it's really big.

Across our great nation, we've begun to see an acceleration of the power of data to deliver value.

People are saying, 'Big Data is the new oil.'

We have entered an era where the kinds of data and analyses that people run have gotten incredibly complicated. So you have researchers using sophisticated software programs that they probably don't understand but are generally accepted and everyone [in the field] uses.

I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.

A lot of people seem to think that data science is just a process of adding up a bunch of data and looking at the results, but that's actually not at all what the process is.

Data science is the combination of analytics and the development of new algorithms.

I like to say I've been working on big data for so long, it used to be small data when I started working on it.

I sit on the board of Cloudera, a big vantage point of big data.

Data drives success. That is how we began our success with eSpeed. It was always based on the data.

Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.

There are a number of fascinating stories included in 'The Human Face of Big Data' that represent some of the most innovative applications of data that are shaping our future.

We're entering a new world in which data may be more important than software.

There's definitely a huge opportunity for businesses to transform their operations and decision making by using data.

We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.

The possibilities for creation and insight are endless. We're constantly collecting more data, and it's starting to be very relevant to our lives.

The world is now awash in data and we can see consumers in a lot clearer ways.