Hannah Bronfman Quotes

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

I think you can have a ridiculously enormous and complex data set, but if you have the right tools and methodology then it's not a problem.

If you have a lot of data and you want to create value from that data, one of the things you might consider is building up an AI team.

I learned analytics. It's a point of reference, of information. It has to be a factor in decision making.

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.

I think of 'data science' as a flag that was planted at the intersection of several different disciplines that have not always existed in the same place. Statistics, computer science, domain expertise, and what I usually call 'hacking,' though I don't mean the 'evil' kind of hacking.

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

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

Every part of your business will change based on what I consider predictive analytics of the future.

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.

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.

When I look at the next set of technologies that we have to build in Salesforce, it's all data-science-based technology. We don't need more cloud. We don't need more mobile. We don't need more social. We need more data science.

The premise and promise of Big Data is that there are no stories, only patterns; that the human preference for story is aligned with the human tendency for error; and that only through dislocations in scale - the scale of sample size and of time - will truth emerge.

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

You need to use data science and machine learning to get the ground truth of what's happening inside of a company.

I've never been a stat guy.

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

I keep saying the sexy job in the next ten years will be statisticians. People think I'm joking, but who would've guessed that computer engineers would've been the sexy job of the 1990s?

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.

I am a data hound and so I usually end up working on whatever things I can find good data on. The rise of Internet commerce completely altered the amount of information you could gather on company behavior so I naturally drifted toward it.

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