Harper Reed Quotes

There is a calculus, it turns out, for mastering our subconscious urges. For companies like Target, the exhaustive rendering of our conscious and unconscious patterns into data sets and algorithms has revolutionized what they know about us and, therefore, how precisely they can sell.

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

The world that our children living in is going to be completely different because of big data.

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

There will always be plenty of things to compute in the detailed affairs of millions of people doing complicated things.

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.

The whole concept of data science is that the software becomes the expert, and you, as the average user, are able to understand what's going on.

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.

If I'm reading my Facebook feed, it's using algorithms, procedures, and methods to give me what I want, or what it thinks that I want, or what suits its business plan.

Deep learning allows you to create predictive models at a level of quality and sophistication that was previously out of reach. And so deep learning also enhances the product function of data science because it can generate new product opportunities.

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.

We are moving into a world where companies will be able to offer us products and services based on our last two hours of activity. This is both exciting and frightening at the same time.

When human judgment and big data intersect there are some funny things that happen.

Machine learning is the science of getting computers to learn without being explicitly programmed.

A new, a vast, and a powerful language is developed for the future use of analysis, in which to wield its truths so that these may become of more speedy and accurate practical application for the purposes of mankind than the means hitherto in our possession have rendered possible.

I came in as an engineer and worked on artificial intelligence at Google. I worked on related sites and matching advertising to queries with some of our earliest ads.

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.

Artificial intelligence, machine learning... cell therapy, immunotherapy. There's just a constant stream of investment ideas we could pursue better in that fashion.

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.

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

Technological advances could allow us to see more clearly into our own lives.

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.

It's difficult to imagine the power that you're going to have when so many different sorts of data are available.

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