Max Levchin Quotes

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.

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

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

The answers to today's most important scientific, business, and social problems lie in data.

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

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

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

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.

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.

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.

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

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

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.

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.

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.

We're guided by consumer data, and it helps give us the confidence to invest where the consumer is going.

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.

People are building apps that are doing super-crazy things, and there's a lot of talk about modeling and microtargeting. Facebook can predict when people are going to break up, and Target is able to predict if a woman is pregnant before she knows just based on the type of lotion she bought.

The next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape.

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.