Top 1200 Data Structures Quotes & Sayings - Page 5

As a digital technology writer, I have had more than one former student and colleague tell me about digital switchers they have serviced through which calls and data are diverted to government servers or the big data algorithms they've written to be used on our e-mails by intelligence agencies.

When a hacker gains access to any corporate data, the value of that data depends on which server, or sometimes a single person's computer, that the hacker gains access to.

Many of us now expect our online activities to be recorded and analyzed, but we assume the physical spaces we inhabit are different. The data broker industry doesn't see it that way. To them, even the act of walking down the street is a legitimate data set to be captured, catalogued, and exploited.

But even if you thought they were adequate at the time, when you're collecting data in bulk-you've got it. The data lasts until you delete it; the rules only last until you decide to change them, and change them in secret.

Data-driven predictions can succeed-and they can fail. It is when we deny our role in the process that the odds of failure rise. Before we demand more of our data, we need to demand more of ourselves.

The biggest challenge in big data today is asking the right questions of data. There are so many questions to ask that you don't have the time to ask them all, so it doesn't even make sense to think about where to start your analysis.

The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way weve taught managers to make decisions and consultants to analyze problems condemns them to taking action when its too late.

Every company has big data in its future and every company will eventually be in the data business.

When we look at Huawei and ZTE, there are significant indicators that - because of Huawei's close relationship with the Chinese military and Chinese intelligence, the use of Huawei technologies could create backdoors for areas of access to consumer data or company data that we would find unacceptable.

We will continue to work with agencies across the government to unleash the power of open data and to make government data more accessible and usable for entrepreneurs, companies, researchers, and citizens everywhere - innovators who can leverage these resources to benefit Americans in a rapidly growing array of exciting and powerful ways.

There will soon be streams of data coming from all manner of products - appliances, clothing, sporting goods, you name it. Wouldn't you rather live in a world where you can export the data from your son's football helmet to a new app that monitors force and impact against a cohort of high school players around the country?

Do the structures of language and the structures of reality (by which I mean what actually happens) move along parallel lines? Does reality essentially remain outside language, separate, obdurate, alien, not susceptible to description? Is an accurate and vital correspondence between what is and our perception of it impossible? Or is it that we are obliged to use language only in order to obscure and distort reality -- to distort what happens -- because we fear it?

Census data influences decisions made from Main Street to Wall Street, in Congress and with the Federal Reserve. Not to mention, the American people who look to, and trust, the data the government releases on our nation's unemployment, state of our economy, and health insurance coverage.

'Sleep' is a project I've been thinking about for many years. It just seems like society has been moving more and more in a direction where we needed it. Our psychological space is being increasingly populated by data. And we expend an enormous amount of energy curating data.

To understand how quickly we're cooking the planet, we need good data. To have good data, we need good satellites.

The whole enterprise of teaching managers is steeped in the ethic of data-driven analytical support. The problem is, the data is only available about the past. So the way we've taught managers to make decisions and consultants to analyze problems condemns them to taking action when it's too late.

Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.

Sharing data allows us to research, communicate, consume media, buy and sell, play games, and more. In return, businesses develop products, scientists undertake research, and governments use data to enable voting, inform policies, collect tax, and provide better public services.

Advertising isnt just the disruption of aesthetics, the insults to your intelligence and the interruption of your train of thought. At every company that sells ads, a significant portion of their engineering team spends their day tuning data mining, writing better code to collect all your personal data.

Part of my responsibility as an officer was to oversee a team of analysts charged with synthesizing all of the data points on the map to see how one related to another. By bringing those data points together, a broader picture could be drawn and a strategy developed to counter the existing threat.

Vivametrica isn't the only company vying for control of the fitness data space. There is considerable power in becoming the default standard-setter for health metrics. Any company that becomes the go-to data analysis group for brands like Fitbit and Jawbone stands to make a lot of money.

The production of knowledge in schools today is instrumental, wedded to objective outcomes, privatized, and is largely geared to produce consuming subjects. The organizational structures that make such knowledge possible enact serious costs on any viable notion of critical education and critical pedagogy. Teachers are deskilled, largely reduced to teaching for the test, business culture organizes the governance structures of schooling, knowledge is viewed as a commodity, and students are treated reductively as both consumers and workers.

Converting Facebook data into money is harder than it sounds, mostly because the vast bulk of your user data is worthless. Turns out your blotto-drunk party pics and flirty co-worker messages have no commercial value whatsoever.

I don't think bulk data collection was an enormous factor here, because generally, that deals with overseas calls to the United States. But what bulk data collection did was make the process more efficient. So there were no silver bullets there.

Users get unlimited 'WhatsApp'. We get happy users who don't have to worry about data. Carriers get people willing to sign up for data plans.

So much of the physical world has been explored. But the deluge of data I get to investigate really lets me chart new territory. Genetic data from people living today forms an archaeological record of what happened to their ancestors 10,000 years ago.

Financial market participants appear to recognize the FOMC's data-dependent approach because incoming data surprises typically induce changes in market expectations about the likely future path of policy, resulting in movements in bond yields that act to buffer the economy from shocks.

Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.

I would only have been too pleased if someone had asked me for my data. If you really believed in your data, you wouldn't mind someone looking at it. You should be able to respond that if you don't believe me go out and do the measurements yourself.

I am not against the pharmaceutical companies. I love them. That's not the issue. The issue is, in some cases, when they do these clinical trials, they control the data. They analyze the data. In some cases, they even write the article. And that leads to at least the perception, if not the reality, that there's a conflict of interest.

In the past, Google has used teams of humans to 'read' its street address images - in essence, to render images into actionable data. But using neural network technology, the company has trained computers to extract that data automatically - and with a level of accuracy that meets or beats human operators.

While I was there, Voyager flew by Saturn. I got involved with a person who was a member of the imaging team and started working on data from Saturn. With all that data coming in, the imaging team didn't have enough hands or scientists to work on all of it.

If you are looking at data over and over you better be taking away valuable insight every time. If you are constantly looking at data that isn't leading to strategic action stop wasting your time and look for more Actionable Analytics.

It's easy for me to see how a business proposition is going to play out, or who our next-generation competitors are, from taking this data point from this customer and another data point from another customer... and jump to Z.

I think that whatever we encounter in life, we want to encourage a balance between the mind and the soul...and that is to consider about 50% data from the mind and 50% data from the soul. This is what Buddhists call, "the middle way."

There will be many cases when researchers will need to look at data to come closer to a cure, in maybe five years, 10 years, 15 years. We can help make that data analysis easier. We can't let this wait. Dementia has potential to cripple our economy.

The technology, called near-field communication, involves a microchip that can send and receive data across very short distances, about four inches. Instead of swiping a credit card, you hold your phone near a reader and let the data zip between the two devices.

We need a new generation of executives who understand how to manage and lead through data. And we also need a new generation of employees who are able to help us organize and structure our businesses around that data.

Data is the new oil? No: Data is the new soil.

Video is originally a de-corporation, a disqualification of the sensorial organs which are replaced by machines. The eye and the hand are replaced by the data glove, the body is replaced by a data suit, sex is replaced by cybersex. All the qualities of the body are transferred to the machine.

I'm more attuned than ever to the proliferation of groups that are working for justice and equality. They're all over the country. We want the people who watch "A House Divided" and other stories in our America Divided series to realize that there are structures that reinforce inequality and inequity, and that our job as good people is to work together to dismantle those structures. We're hoping that viewers will see what they have in common with other Americans, have empathy and become more united.

Computer science only indicates the retrospective omnipotence of our technologies. In other words, an infinite capacity to process data (but only data -- i.e. the already given) and in no sense a new vision. With that science, we are entering an era of exhaustivity, which is also an era of exhaustion.

Though the structures and patterns of mathematics reflect the structure of, and resonate in, the human mind every bit as much as do the structures and patterns of music, human beings have developed no mathematical equivalent to a pair of ears. Mathematics can only be "seen" with the "eyes of the mind". It is as if we had no sense of hearing, so that only someone able to sight read music would be able to appreciate its patterns and harmonies.

National data on evictions aren't collected, although national data on foreclosures are. And so if anyone wants to, kind of, get to know any statistical research about evictions, they have to really dig in the annals of legal records.

People seem to get caught up in jargon like they get caught up in ashrams and power structures and they never become free. They become masters of jargon and power structures.

A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily seen every day: quirks and changes that, eventually, add up to insights.

All of these technologies that we are putting together... our memory technology, our CPU, our graphics architecture, our GPUs - all that is being applied to where the data is. You can almost predict where Intel will be in the future. It will be where data resides.

Advertising isn't just the disruption of aesthetics, the insults to your intelligence and the interruption of your train of thought. At every company that sells ads, a significant portion of their engineering team spends their day tuning data mining, writing better code to collect all your personal data.

A conspiracy theorist is a person who tacitly admits that they have insufficient data to prove their points. A conspiracy is a battle cry of a person with insufficient data.

We just kind of relied on written scouting reports through the eighties and even the early nineties. I've really been amazed by some of the data that's out there, especially with regards to tendencies of hitters, and certainly tendencies of pitchers as well. I would have loved to have gotten that data when I played.

There are lots of incredible people who are working in very flawed structures that are designed to keep us apart, so we're going to have to figure this out. The first stage is just talking about it openly: We are all working within structures where there is a disincentive to do what we most need to do, which is come together. I don't know what the answer is but I definitely think that that first stage is just being honest about it and trying to speak about it in a way that is not just accusatory.

Cell-site data - like mailing addresses, phone numbers, and IP addresses - are information that facilitate personal communications rather than part of the content of those communications themselves. The government's collection of business records containing these data, therefore, is not a search.

If you grew up, and you never had a computer, and you've never used the Internet, and someone asked you if you wanted to buy a data plan, your response would be 'What's a data plan, and why would I want to use this?'

The information highway is being sold to us as delivering information, but what it's really delivering is data... Unlike data, information has utility, timeliness, accuracy, a pedigree... Editors serve as barometers of quality, and most of an editor's time is spent saying no.

You can harvest any data that you want, on anybody. You can infer any data that you like, and you can use it to manipulate them in any way that you choose. And you can roll out an algorithm that genuinely makes massive differences to people's lives, both good and bad, without any checks and balances.

The big thing that's happened is, in the time since the Affordable Care Act has been going on, our medical science has been advancing. We have now genomic data. We have the power of big data about what your living patterns are, what's happening in your body. Even your smartphone can collect data about your walking or your pulse or other things that could be incredibly meaningful in being able to predict whether you have disease coming in the future and help avert those problems.

Personal computing today is a rich ecosystem encompassing massive PC-based data centers, notebook and Tablet PCs, handheld devices, and smart cell phones. It has expanded from the desktop and the data center to wherever people need it - at their desks, in a meeting, on the road or even in the air.

If we study learning as a data science, we can reverse engineer the human brain and tailor learning techniques to maximize the chances of student success. This is the biggest revolution that could happen in education, turning it into a data-driven science, and not such a medieval set of rumors professors tend to carry on.

The mistakes (of leaders) are amplified by the numbers who follow them without question. Charismatic leaders tend to build up followings, power structures and these power structures tend to be taken over by people who are corruptible. I don't think that the old saw about 'power corrupts and absolute power corrupts absolutely' is accurate: I think power attracts the corruptible.

We don't sell data; we don't allow anyone to sell data.