I find the parallels between how some investors refuse to recognise the trends and our reaction to some of our environmental challenges very powerful. There is an unwillingness to process unpleasant data.

Ukip had undertaken a survey on why people wanted to leave the E.U. or not, and they also had membership data. So we were able to build personas out of that. That was work that would normally be paid for.

Today, I think a CFO needs to be more of an operating CFO: someone who's using the financial data and the data of the company to help drive strategy, the allocation of capital, and the management of risks.

Intuition is neither the ability to engage prophecy nor a means of avoiding financial loss or painful relationships. It is actually the ability to use energy data to make decisions in the immediate moment.

The key to a solid foundation in data structures and algorithms is not an exhaustive survey of every conceivable data structure and its subforms, with memorization of each's Big-O value and amortized cost.

CloudShield did not see itself as a cloak-and-dagger company. It made its name for high-end hardware that could peer deeply into Internet traffic and pull out and analyze 'packets' of data as they flew by.

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

We must speed up the deployment of broadband in order to bring high-speed data services to homes and businesses. The spread of information technology has contributed to a steady growth in U.S. productivity.

I don't have a particular recommendation other than that we base decisions on as much hard data as possible. We need to carefully look at all the options and all their ramifications in making our decisions.

The Internet is just a bunch of servers and broadband cables and routers that traffic data around the world. But I think now the Internet is starting to become an entity that society views as a human thing.

I don't have a particular recommendation other than that we base decisions on as much hard data as possible. We need to carefully look at all the options and all their ramifications in making our decisions.

Personalization is based on a bargain. In exchange for the service of filtering, you hand large companies an enormous amount of data about your daily life--much of whic you might not trust your friends with.

Dataism is a new ethical system that says, yes, humans were special and important because up until now they were the most sophisticated data processing system in the universe, but this is no longer the case.

It's so cheap to store all data. It's cheaper to keep it than to delete it. And that means people will change their behavior because they know anything they say online can be used against them in the future.

A movie like 'Transcendence' may be pertinent in its political reverberations of all computer data held in a cloud and monitored by the NSA, but it also rails against the tools its makers so artfully employ.

Carrier networks were originally built for connecting phone calls. Now they're getting swamped with bandwidth-hogging data applications. Keeping up will require huge investments. Who's going to pay for that?

Whether we look at capitalism, taxes, business, or government, the data show a clear and consistent pattern: 70 percent of Americans support the free enterprise system and are unsupportive of big government.

I try and wake up relatively early. I listen to some music and check Twitter. I also make sure I weigh myself and check how long I slept. I do that because knowing that data seems better than not knowing it.

The brain has about ten thousand parameters for every second of experience. We do not really have much experience about how systems like that work or how to make them be so good at finding structure in data.

Both Newton and Darwin were driven by the data and were forced to recognize that they couldn't explain everything. It may be a characteristic of great scientists to know what to accept and what to leave out.

Perhaps there is supranatural: reason beyond the normal definitions of fact or data-based logic; something that only makes sense if you can see a bigger picture of reality. Maybe that is where faith fits in.

We have really good data that show when you take patients and you really inform them about their choices, patients make more frugal choices. They pick more efficient choices than the health care system does.

AIs are only as good as the data they are trained on. And while many of the tech giants working on AI, like Google and Facebook, have open-sourced some of their algorithms, they hold back most of their data.

When asked if I am pessimistic or optimistic about the future, my answer is always the same: If you look at the science about what is happening on Earth and aren't pessimistic, you don't understand the data.

Overall, while the Rovi entertainment store is a nice stand-alone offering, more importantly, however, it is also a part of our total customer solution, fitting in now with our data and TotalGuide offerings.

You can't tell what's aboard a container ship. We carried every kind of cargo, all of it on view: a police car, penicillin, Johnnie Walker Red, toilets, handguns, lumber, Ping-Pong balls, and IBM data cards.

Sense data are much more controversial than qualia, because they are associated with a controversial theory of perception - that one perceives the world by perceiving one's sense-data, or something like that.

IBM customers of any size can now rest assured that Double-Take, the most innovative, flexible and reliable data protection solution on the market, is proven to integrate easily into their IBM infrastructure.

You don't get to cut that chain of evidence and start over. You're always going to be pursued by your data shadow, which is forming from thousands and thousands of little leaks and tributaries of information.

The revelation that the National Security Agency has been secretly amassing data on countless law-abiding American citizens has aroused great concern about the potential threat such an effort poses to liberty.

A lot of data, whether it's imagery or other kinds of things, work really well when it's geographically laid out. I'm talking about imagery, statistics, incidents and other things that happen around the globe.

Education helps you to be a well-rounded person, period. It teaches you how to take in information and data, process it, and use it for life building. Education was key in my family. You were going to college.

I love science. I hate supposition, superstition, exaggeration and falsified data. Show me the research, show me the results, show me the conclusions - and then show me some qualified peer reviews of all that.

I love science. I hate supposition, superstition, exaggeration and falsified data. Show me the research, show me the results, show me the conclusions - and then show me some qualified peer reviews of all that.

Researchers should always consider ethical concerns on scientific research and disclose their data to the public. Scientists also need to discuss issues surrounding their research with those who are concerned.

The problem for most self-starting leaders who do not have a mentor begins when they measure the results and find themselves fully aware of the data and the analytics, but are completely unaware of what to do.

Creating more direct relationships with consumers, utilizing the resulting data and insights, is increasingly more valuable - and an evolution of the traditional competency of ad-supported television networks.

Thanks to the digital and big data revolution, we can start to do what was previously unthinkable - to improve patient outcomes and lower healthcare costs while delivering personalized care to each individual.

When we miss with all the metadata collection we've had, the San Bernardino couple and the Tsarnaev brothers, what that suggests to me is that we are using the wrong algorithms to search through all this data.

At TechStars, I have the privilege of working with hundreds of the best and brightest start-up mentors on the planet. We coach our mentors to take a Socratic approach and to provide data rather than decisions.

In order to displace a prevailing theory or paradigm in science, it is not enough to merely point out what it cannot explain; you have to offer a new theory that explains more data, and do so in a testable way.

What got repressed-sometimes viciously repressed-by the strategy-concept makers, consultants, and data gatherers was a consciousness of people and their importance in the creation and execution of any strategy.

Listening to the data is important... but so is experience and intuition. After all, what is intuition at its best but large amounts of data of all kinds filtered through a human brain rather than a math model?

Should Ford succeed in equipping all its cars with information that gets communicated back to its servers, it will become a 'big data' company, a beyond-vehicles opportunity that is as promising as it is murky.

Removed from 'Gmail' doesn't necessarily mean removed from all Google servers. In fact, your old emails are the data set from which Google models our behaviors - the real product it is offering its advertisers.

The problem with data is that it says a lot, but it also says nothing. 'Big data' is terrific, but it's usually thin. To understand why something is happening, we have to engage in both forensics and guess work.

When I was standing there on top of the world, you become so humble, you do not think about breaking records anymore, you do not think about gaining scientific data. The only thing you want is to come back alive

To me, the main weakness of EDA is its failure to enquire why the data were collected in the first place and its consequent tendency to apply ingenious methods largely because they are so attractively ingenious.

Biographies never feel as real as the best fiction. There is such a discontinuity between the narrative and the material it comes from, which is always such a mixed bag of letters, recollections, and other data.

At Deloitte, our programs for veterans are bringing new approaches to the table. For instance, we're helping veterans' organizations use data analytics to sift through streams of information about veteran needs.

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