Jose Ferreira Quotes

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

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.

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

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

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.

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.

The big mystery of Big Data is causation versus correlation.

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.

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.

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

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

Social media has given companies access to unprecedented amounts of information on client behavior and preferences - so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.

The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.

Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.

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.

Big data knows and can deduce more about you than Big Brother ever could.

Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.

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.

We know now data is so powerful, and you can learn so much about yourself and creating product with data.

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

In disciplines as disparate as baseball, financial services, trucking and retail, people are realizing the power of data to help make better decisions.