Data Quotes - Page 33

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With customers' permission, fintech firms have increasingly turned to data aggregators to 'screen scrape' information from financial accounts. In such cases, data aggregators collect and store online banking logins and passwords provided by the bank's customers and use them to log directly into the customer's banking account.

Satellites record data in different parts of the light spectrum that we can't see. And it's that information that allows satellites to be so powerful in terms of looking at things like vegetation health, finding different kinds of geology that may indicate an oil deposit or some kind of mineralogical deposit that can be mined.

I'm not an insider. I'm not on the board. I'm an outsider. That implies a certain kind of separation ... because the company can't, without an appropriate nondisclosure and trading rules, share confidential data with me that it would not share with any other shareholder. You could say that implies a certain kind of separation.

Nobody is delineated, nobody is concentrated. There is a lot of extraneous stuff. Like for instance, the satellites that measure in the atmosphere, there is billions and billions and billions of bytes of data, only maybe 2% of which are actually useful. They don't know what the rest are for, they don't know what good they are.

Our lives are now in a telephone, all our data, all our finances, all our personal information, and so it's proper that we have some constraints on that. But it's not going to be 100 percent. If it is 100 percent, then we're not going to be able to protect ourselves and our societies from some people who are trying to hurt us.

I've always been interested in technology, but specifically how we can use machines to engage the imagination. I started using computers when I was young and was fascinated by creating rules and instructions that allow a computer to engage in a dialogue with humans. The stories found in the data all around us can do just that.

There is a saying that if you get something for free, you should know that you're the product. It was never more true than in the case of Facebook and Gmail and YouTube. You get free social-media services, and you get free funny cat videos. In exchange, you give up the most valuable asset you have, which is your personal data.

I think the best projects understand that they don't need to invent a new currency. They don't need to use the block chain as their long-term data storage solution. And they don't need to use the peer-to-peer network as their communication mechanism. They should use the block chain as the world's most secure distributed ledger.

The Adversity Index was created by msnbc.com and Moody's Analytics to track the economic fortunes of states and metro areas. Each month, the Adversity Index uses government data on employment, industrial production, housing starts and home prices to label each area as expanding, at risk of recession, in recession or recovering.

Engineers love to optimize problems. Now I optimize logistical problems. I ask: 'What's the goal? What are our constraints? What is the optimal, elegant way to get to that goal within those constraints?' I break it down in terms of a data funnel: 'Where in the funnel are we inefficient?' That analytical background really helps.

I think of myself as a fairly logical, scientific and somewhat reserved person. Maura Isles, the Boston medical examiner who appears in five of my books, is me. Almost everything I use in describing her, from her taste in wine to her biographical data, is taken from my own family. Except I don't have a serial killer as a mother!

Nearly every business collects metrics on inventory, sales, and workplace process. Health care has been slow to measure these kinds of outcomes. Increasingly, general medicine, via either managed care or large practice settings, is improving by collecting data through electronic records and refining practice based on what works.

Whole communities are growing up without fathers or male role models. Bringing up a family in the best of circumstances is not easy. To try to do it by placing the entire burden on women - 91% of single-parent families in Britain are headed by the mother, according to census data - is practically absurd and morally indefensible.

I have the idea that running shoes are based on a kind of cult idea - that our feet are flawed and we need shoes to correct those flaws. The shoe companies are in the business of selling shoes. But there's no evidence from running shoe manufacturers that they're right. There's no scientific data that running shoes reduce injury.

Under my definition, a scientific theory is a proposed explanation which focuses or points to physical, observable data and logical inferences. There are many things throughout the history of science which we now think to be incorrect which nonetheless would fit that which would fit that definition. Yes, astrology is in fact one.

I now have Grit Scale scores from thousands of American adults. My data provide a snapshot of grit across adulthood. And I've discovered a strikingly consistent pattern: grit and age go hand in hand. Sixty-somethings tend to be grittier, on average, than fifty-somethings, who are in turn grittier than forty-somethings, and so on.

A lot of young Poles, very well educated ones, are living in Britain. They are working hard. Of course they are building their own prosperity, but they are also contributing to the economic prosperity of the United Kingdom and surely I can say - and this is underpinned by the economic data - they bring in more than they take away.

Samasource creates jobs in regions where more traditional forms of employment in low-income economies, such as manufacturing, are difficult to scale because of poor infrastructure. In a village in Rukka, India, for example, our small data entry partner employs over 60 people doing various types of Internet research for Samasource.

The market won't let us treat all data equally because there's a potential to make huge gobs of money not doing that. In the United States of America, people will pay to be first unless we do something to stop them. We don't have defenses built in because we haven't been investing in criticism that would help us mount a defense. I

Steven Tepper's Not Here, Not Now, Not That! offers invaluable insights into how social change and uncertainty drive protests over art. With fresh data and perspectives, Tepper makes a compelling case that cultural conflicts are largely homegrown, tied to each community's shifting demographics and values. It's an eye-opening work.

Mathematics may be compared to a mill of exquisite workmanship, which grinds you stuff of any degree of fineness; but, nevertheless, what you get out depends upon what you put in; and as the grandest mill in the world will not extract wheat-flour from peascods, so pages of formulae will not get a definite result out of loose data.

We speak of 'software eating the world,' 'the Internet of Things,' and we massify 'data' by declaring it 'Big.' But these concepts remain for the most part abstract. It's hard for many of us to grasp the impact of digital technology on the 'real world' of things like rocks, homes, cars, and trees. We lack a metaphor that hits home.

It's worth noting that invoking God as the entity who set our universe in motion isn't contradicted by the data. Of course, scientists would say the supreme being hypothesis is faith, and outside the realm of science - that it's not amenable to experiment. But we currently have the same problem with the notion of parallel universes.

You have to imagine a world in which there's this abundance of data, with all of these connected devices generating tons and tons of data. And you're able to reason over the data with new computer science and make your product and service better. What does your business look like then? That's the question every CEO should be asking.

Twitter, Reddit, Tumblr, Instagram, all these companies are businesses first, but, as a close second, they're demographers of unprecedented reach, thoroughness, and importance. Practically as an accident, digital data can now show us how we fight, how we love, how we age, who we are, and how we're changing. All we have to do is look.

Eventually, we need to have computers that work differently from the way they do today and have for the past 60-plus years. We're capturing and generating increasingly massive amounts of data, but we can't make computers that keep up with it. One of the most promising solutions is to make computers that work more the way brains work.

One of my first priorities as a new member of Congress in 2019 was to visit the CDC and learn firsthand about what they needed to help protect Americans. After my visit, I learned their budget had previously been cut, and that they needed funding to modernize their data systems to help prevent pandemics and other public health crises.

Supported by digital data, new data-driven tools, and payment policies that reward improving the quality and value of care, doctors, hospitals, patients, and entrepreneurs across the nation are demonstrating that smarter, better, more accessible, and more proactive care is the best way to improve quality and control health care costs.

It is generally believed that our science is empirical and that we draw our concepts and our mathematical constructs from the empirical data. If this were the whole truth, we should, when entering into a new field, introduce only such quantities as can directly be observed, and formulate natural laws only by means of these quantities.

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.

Every day, I absorb countless data bits through emails, phone calls, and articles; process the data; and transmit back new bits through more emails, phone calls, and articles. I don't really know where I fit into the great scheme of things and how my bits of data connect with the bits produced by billions of other humans and computers.

If you sequence a cancerous tumor, you should be able to tailor the therapy according to the root cause of the cancer. But it has taken so long to do the sequencing - which also requires time to prepare the samples and interpret the deluge of data that comes out - that the patients are already undergoing therapy by the process if over.

At WhatsApp, our engineers spend all their time fixing bugs, adding new features and ironing out all the little intricacies in our task of bringing rich, affordable, reliable messaging to every phone in the world. That's our product, and that's our passion. Your data isn't even in the picture. We are simply not interested in any of it.

The fact is that astrological beliefs go back at least 2,500 years. Now that should be a sufficiently long time for astrologers to prove their case. They have not proved their case...It's just simply gibberish. The fact is, there's no theory for it, there are no observational data for it. It's been tested and tested over the centuries.

I've seen people spend days, if not months, researching and gathering data, but only at the end did they finally figure out what they were really looking for; then they have to redo a lot of stuff. If after a day or so you force yourself to put together your tentative conclusions, then you'll have guidance for the rest of your research.

When whistleblowers come forward, we need to fight for them, so others will be encouraged. When they are gagged, we must be their voice. When they are hunted, we must be their shield. When they are locked away, we must free them. Giving us the truth is not a crime. This is our data, our information, our history. We must fight to own it.

He’s totally different from the typical jock. He has no ego. That’s unique for someone with such accolades. His strength comes from a higher power. You can’t explain Steve Largent by computer – he doesn’t belong on an NFL field. You put his size and speed in an IBM computer up in Silicon Valley, it would chew up his data card and laugh.

The exploration of space: Be it by humans or robots, based on the best choice for the mission and the most efficient means to return the data and science sought. Most of the time, this will mean we send robots due to cost and danger. But sometimes, we will need the irreplaceable judgment and descriptive abilities of a person on the spot.

As the world transitions to the Internet of Everything - where people, processes, and data are intelligently connected - we'll be linked in even more ways. Here, billions and trillions of sensors around the earth and in its atmosphere will send information back to machines, computers, and people for further evaluation and decision-making.

I'm not from a political family and didn't grow up dreaming of being George Washington. I started working in 8th grade and have held every odd job possible - working in a gravel pit, weighing big wheelers, ticket sales, data base management - but I knew if I worked hard and got experience, I could apply that experience to my next endeavor.

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.

We're still missing about a dozen vaccines that will make a huge difference. For adults, we've got HIV and TB are still huge; for kids malaria is still killing a half million kids a year out of that 6 million. We probably need some vaccines, but we need a little more data to make sure we're getting the vaccines that will save the most lives.

When The Daily Muse initially wanted to launch a job board, our first ideas were insanely (and needlessly) complex. We wanted to integrate with social networks, gather rich personal data to build predictive algorithms, and put together numerous cool visualization tools before launching out to the world. We were just sure users would love it!

Technology and the Internet have created a new set of relationships. It's changed the social fabric of promotion: advertising, dating. Part of art world judgment, part of it, is based on people's statistics; their measure of financial value: of likes, of popularity. Data and technology are invading the traditional and classic set of criteria.

When I want to explain why empowering girls and women is critical to fighting poverty, I often tell a person's story. It's easier to relate to a personal story than to global data telling us that the majority of the billion people who live on less than $2 per day are women and girls. We are often told to never treat a person like a statistic.

We face two overlapping challenges. The first concerns real-time court-ordered interception of what we call 'data in motion,' such as phone calls, e-mail, and live chat sessions. The second challenge concerns court-ordered access to data stored on our devices, such as e-mail, text messages, photos, and videos - or what we call 'data at rest.'

When I talk about the ability for fintech to promote kind of economic growth and productive citizens coming in, using different data and being able to lend to small businesses, see those small businesses start to grow - of course, that means more money for their families, you know, the small-business owner families. They start to hire people.

There is so much information that our ability to focus on any piece of it is interrupted by other information, so that we bathe in information but hardly absorb or analyse it. Data are interrupted by other data before we've thought about the first round, and contemplating three streams of data at once may be a way to think about none of them.

Basically, if you want to have a computer system that could pass the Turing test, it as a machine is going to have to be able to self-reference and use its own experience and the sense data that it's taking in to basically create its own understanding of the world and use that as a reference point for all new sense data that's coming in to it.

The intellectual equipment needed for the job of the future is an ability to define problems, quickly assimilate relevant data, conceptualize and reorganize the information, make deductive and inductive leaps with it, ask hard questions about it, discuss findings with colleagues, work collaboratively to find solutions and then convince others.

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