Quotes About Data

Experts often possess more data than judgment.

Every second of every day, our senses bring in way too much data than we can possibly process in our brains.

To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.

I know pretty much all my analytics and I take that into consideration when I'm posting.

Scanadu is right at the heart of the next generation of computing, which combines mobility, sensors, cloud and big data. I am bullish on Scanadu and its potential to revolutionize the way we think about our health.

I think he is an extremely accessible character. In Data there is no potential for cruelty.

He said this has the potential to be the first broadband killer application, and it has sort of become the truth because obviously it's so bandwidth intensive. I mean, it has been an issue.

As a consultant at McKinsey, I learned the value of data and the ability to shape that information into an answer.

When you are young, coming into this business, you're told how the business works, and you feel very lucky to be here and want to stick around, so you believe the data, and you believe the conversations you're having where they say, 'You can't have that kind of lead because they don't travel here,' or, 'People will think it's not for them.'

I log on and there are so many cookies embedded in my computer - it's like they know what I need before I do.

In sports, stats count. Music? Not so much.

Companies are very, very good - better than consumers themselves - at knowing what consumers are actually craving.

I think wearables in general have, as their best calling, to better understand our current state and needs and to express those back to the world.

Using science to tell us what customers are looking for is second nature for us here.

Information is expanding daily. How to get it out visually is important.

Because of their exceptional ability to automatically elicit, record, and analyze information, A.I. systems are in a prime position to acquire confidential information.

The battle between Google and Apple has shifted from devices, operating systems, and apps to a new, amorphous idea called 'contextual computing.' We have become data-spewing factories, and the only way to make sense of it all is through context.

Crucially, healthcare needs to become connected. It should become effortless for medical professionals to share relevant data with colleagues around the world. Medical devices and systems in hospitals should be able to combine multiple sources of information.

We urgently need more due process with the algorithmic systems influencing our lives. If you are given a score that jeopardizes your ability to get a job, housing, or education, you should have the right to see that data, know how it was generated, and be able to correct errors and contest the decision.

My job is to analyze our data set to understand it and build products on it. I look at raw data, do the math to clean it up, and build systems to make it easy to understand.

The data center side of the world is kind of like a solved problem, but you see interesting things happening on the edge with things like cell phones and embedded systems that are becoming really fascinating.

Supervised learning works so well when you have the right data set, but ultimately unsupervised learning is going to be a really important component in building really intelligent systems - if you look at how humans learn, it's almost entirely unsupervised.

The computer systems that we have on our cars when we go test just blow my mind.

Dell will participate in tablets and all sorts of client devices. Our main business is helping our customers secure, protect their data and access it from any device they want to.