Here we have the best Data Quotes from famous authors such as Kate Crawford, Merton Miller, Bernard Ebbers, Wendy Kopp, Suzan DelBene. Find the perfect quotation from our collection.
Our communications services revenue growth is being driven by continued strong top-line performance in data, Internet and international – three of the fastest growing and most profitable areas within communications services.
The SP-i600 by Samsung with Windows Mobile software provides a great mobile phone experience that allows mobile professionals to be more productive and effectively manage their busy lives with seamless access to their data and the Internet when they are away from the office.
Data, I think, is one of the most powerful mechanisms for telling stories. I take a huge pile of data and I try to get it to tell stories.
Humans are unbelievably data efficient. You don’t have to drive 1 million miles to drive a car, but the way we teach a self-driving car is have it drive a million miles.
They’re trying to put data centers in cold environments because they’re actually generating so much heat now; they’re using up so much electricity.
The Facebook way is that you sit at the table and you state your opinion, back it up with data, and make a recommendation.
My work shows how important it is that independent researchers should have access to data so that government statistics can be checked and so that the democratic debate within India can be informed by the different interpretations of different scholars.
You can’t imagine how much detail we know about brains. There were 28,000 people who went to the neuroscience conference this year, and every one of them is doing research in brains. A lot of data. But there’s no theory. There’s a little, wimpy box on top there.
Data is the new oil.
Everything is going to be connected to cloud and data… All of this will be mediated by software.
It is the greatest scam in history. I am amazed, appalled and highly offended by it. Global Warming; It is a scam. Some dastardly scientists with environmental and political motives manipulated long term scientific data to create an illusion of rapid global warming.
As we become so visible in the digital world and leave an endless trail of data behind us, exactly who has our data and what they do with it becomes increasingly important.
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.
It is a failure of imagination and methodology to claim that it is necessary to experiment on millions of people without their consent in order to produce good data science.
There’s a lot of power in executing data – generating data and executing data.
TIA was being used by real users, working on real data – foreign data. Data where privacy is not an issue.
If the assumptions used in calculating energy are changed, then this seriously affects the final result, even though the same body of data might be used.
How do you photograph data?
There’s a digital revolution taking place both in and out of government in favor of open-sourced data, innovation, and collaboration.
If I see something that seems out of sync with what’s already known, the first thing I do is try to find out what’s wrong with the data. Once you’ve done that, and it still seems wrong, that’s when things get interesting. It means you’ve found something new to understand.
HERE’s leadership was recognized by Frost & Sullivan, who noted that HERE stands apart for its knowledge and industry experience, impressive data collection ability, high level of personalization, revolutionary products, and wide ranging partnerships with nearly every OEM and system vendor.
It is not the job of government to collect and store vast amounts of biographical and biometric data belonging to innocent people.
We can look back through ice-core data and see over 800,000 years, relationships between carbon dioxide and the temperature of the world. So those people who deny the importance of climate change are just wasting their time. They’re also being diversionary because if we don’t act the risks are enormous.
The law provides a remedy, charging those who threaten a victim‘s data for the purpose of extortion. Extending criminal liability to innocent third-party digital currency exchangers, or any other third-party financial institution, would be an utterly unwarranted and unjust misinterpretation both of law and policy.
Some of the best theorizing comes after collecting data because then you become aware of another reality.
OpenAI is doing important work by releasing tools which promote AI to be developed in the open. Compute power is largely produced by NVIDIA and Intel and still relatively expensive but openly purchasable. Blockchains may be the key final ingredient by providing massive pools of open training data.
New applications will have to deal with big data. We have to analyze it on the fly, so we have to have a system that is transactional and analytical at the same time. We cannot have a multi-stage system. This is too slow for modern applications.
Blockchain is like the new big data or AI – too many people are using it as a buzzword and not focused solving a real problem. We like to call them Blockchain tourists!
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.
We are deluged with information. We have to process now three times as much data as we would have done 50 years ago. We’re bombarded with tweets, with emails – a state of continuous disruption – and that’s bad for our decision making and bad for our thinking.
I related to the whole hippie, acid-test confluence of the early Internet. The idea that we should be open and interoperate with our data resonated with me.
One of the challenges with a government health system, like in the UK, with all of this data, is that you have a government making decisions on which treatments they’ll pay for and which ones they won’t. That’s a dangerous, dangerous, place to get into society.
Reliable data on the outsourcing of American jobs is sorely missing from the debate on globalization.
There’s a lot of hand-wringing going on about the death of journalism and particularly the death of investigative journalism. What I see is that there is more need than ever to have experienced information processors – people who can look through this mass of data.
There’s strong data that, within companies, the No. 1 reason for ethical violations is the pressure to meet expectations, sometimes unrealistic expectations.
The best moments are when, together with… you bring information, you bring data to bear in a way that helps illuminate something that you just don’t really understand. Even if it doesn’t completely clarify it, it just, you know, helps bring it together.
You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.
We have a large amount of data that shows playing fast-paced games improves hand-eye co-ordination, the ability to focus on the task at hand, and your ability to make decisions, as gaming improves your brain’s allocation of resources.
The amount of data and analysis available for free is a true example of information explosion has leveled the playing field for individual investors.
Data can generally travel the speed of light unless networks are congested. When there’s congestion, usually the cheapest and best thing is simply to add capacity generally, not to prioritize certain sites over others.
If done correctly, dynamic scoring will provide a more complete picture of Congress‘s actions. This is exactly the type of modeling the private sector uses, and advances in data collection and analysis create an opportunity for it to be employed accurately.
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.
If you’re a real scientist, you’re constantly open to new data. Nothing is ever 100% validated.
Forget artificial intelligence – in the brave new world of big data, it’s artificial idiocy we should be looking out for.
The real power of mass data collection lies in the hand-tailored algorithms capable of sifting, sorting, and identifying patterns within the data itself. When enough information is collected over time, governments and corporations can use or abuse those patterns to predict future human behavior.
Early in my career, I was disappointed that psychoanalysis was not becoming more empirical, was not becoming more scientific. It was primarily concerned with individual patients. It wasn’t trying to collect data from large groups of people who have been analyzed.
A worldwide web of electronic connections now moves data at ever-increasing speed and volume along what we call the information superhighway.
The world is looking for big data scientists, and there just aren’t enough to go around.
The Gun Owner Privacy Act protects the right to keep and bear arms by preventing the Feds from collecting data to monitor and log gun ownership in America. This legislation will give Americans legal recourse and the ability to sue the Feds and collect damages for records illegally stored.
Humans are unbelievably data efficient. You don’t have to drive 1 million miles to drive a car, but the way we teach a self-driving car is have it drive a million miles.
The Internet had a core innovation that made it valuable: The ability to disseminate data over a distributed network in a way that was significantly cheaper than the prior methods.
Life is made up of a series of judgments on insufficient data, and if we waited to run down all our doubts, it would flow past us.
Social media has given companies access to unprecedented amounts of information on client behavior and preferences – so-called Big Data. But making sense of it all and turning it into actionable policy has been elusive.
At KaBOOM! we are crowd-sourcing a nationwide Map of Play that uses GIS data and user rankings to identify where the engaging playgrounds are located, but more importantly, where they are not.
There must always be a balance between protecting privacy and security. In our country, one of the ways we have struck that balance is by requiring a court order before law enforcement can access certain communications of and data on suspects.
While it may be disappointing, I have to confess to people who ask for my insights on the meaning of it all that astronomy doesn’t provide any clearly useful data on matters of sin and souls.
Bitcoin is a way to have programmable scarcity. The blockchain is the data structure that records the transfer of scarce objects.
In 1957, I was studying the Pleiades star cluster at Harvard University‘s radio observatory. On one occasion, we saw an added feature in the data. It turned out to be an amateur radio enthusiast near the observatory, but at the time, I thought we had detected clear evidence of another civilisation.
It was unthinkable not long ago that a biologist or paleontologist would be at the same conference as an astrophysicist. Now we have accumulated so much data in each of these branches of science as it relates to origins that we have learned that no one discipline can answer questions of origins alone.
There are many types of economic data, but the type considered by Rob Engle and myself is know as time series.
We Facebook users have been building a treasure lode of big data that government and corporate researchers have been mining to predict and influence what we buy and for whom we vote. We have been handing over to them vast quantities of information about ourselves and our friends, loved ones and acquaintances.
We’re entering a new world in which data may be more important than software.
For me, the most exciting aspect of my success is how the insights that Ayasdi’s technology has found in data can truly impact people’s lives.
All you need is lots and lots of data and lots of information about what the right answer is, and you’ll be able to train a big neural net to do what you want.
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.
Russia does not have in its possession any trustworthy data that supports the existence of nuclear weapons or any weapons of mass destruction in Iraq and we have not received any such information from our partners as yet.
Men and machines are good at different things. People form plans and make decisions in complicated situations. We are less good at making sense of enormous amounts of data. Computers are exactly the opposite: they excel at efficient data processing but struggle to make basic judgments that would be simple for any human.
I used to collect computer punch cards from the data centers.
Without a national ID and the ability to create true data that can be be safely and securely sent between individuals, we are going to introduce new systemic risk back into the system.
With data collection, ‘The sooner the better’ is always the best answer.
Everyone knows, or should know, that everything we type on our computers or say into our cell phones is being disseminated throughout the datasphere. And most of it is recorded and parsed by big data servers. Why do you think Gmail and Facebook are free? You think they’re corporate gifts? We pay with our data.
All research in the cultural sciences in an age of specialization, once it is oriented towards a given subject matter through particular settings of problems and has established its methodological principles, will consider the analysis of the data as an end in itself.
Technologies like Ayasdi’s exist now to automatically discover information from data without having someone making guesses up front.
Often, people think that individual data is the most valuable thing they can collect. But it’s not useful to know what I am doing or where I am, unless you’re particularly interested in me, which is weird. But it is very useful to know what a population of people are doing.
Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom.
People believe the best way to learn from the data is to have a hypothesis and then go check it, but the data is so complex that someone who is working with a data set will not know the most significant things to ask. That’s a huge problem.
I support safeguarding users’ personally identifiable information and sensitive data like health or financial records. I also believe the government has a responsibility to punish deceptive and unfair practices that defy reasonable expectations about consumers’ privacy.
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.
Technology is giving companies superpowers to compete more intelligently and capture the data behind changing trends, expanding markets, and new opportunities.
The nice thing about Reddit is, we don’t have to sell your data or build a profile of you or do stuff that makes people feel uncomfortable.
We want to build systems that can generalize to a new task. Being able to do things with much less data and with much less computation is going to be interesting and important.
Edward Snowden copied and leaked information from inside the world’s most protected spy agency, and then fled to Russia, but yet, because a small part of the data he expropriated was provided to a news organisation, journalism conventions readily accord him lone whistleblower status.
Declines in specific industries can never ignite a general depression. Shifts in data will cause increases in activity in one field, declines in another.
We don’t collect a lot of your data and understand every detail about your life. That’s just not the business that we are in.
I’m going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we’re doing with data has not changed; there’s just more of it.
Most executives, many scientists, and almost all business school graduates believe that if you analyze data, this will give you new ideas. Unfortunately, this belief is totally wrong. The mind can only see what it is prepared to see.
There’s definitely a huge opportunity for businesses to transform their operations and decision making by using data.
Big Data is just that – big. But, it’s a term that is largely misunderstood and difficult to explain.
We live in a society bloated with data yet starved for wisdom. We’re connected 24/7, yet anxiety, fear, depression and loneliness is at an all-time high. We must course-correct.
Scientists learn about the world in three ways: They analyze statistical patterns in the data, they do experiments, and they learn from the data and ideas of other scientists. The recent studies show that children also learn in these ways.
Voter fraud is a reality in American elections, but it is typical of the candidate to confuse anecdote with data and turn allegation into conspiracy.
A graphic representation of data abstracted from the banks of every computer in the human system. Unthinkable complexity. Lines of light ranged in the nonspace of the mind, clusters and constellations of data. Like city lights, receding.
Errors using inadequate data are much less than those using no data at all.
I clearly say yes to Big Data, yes to greater security and convenience, but no to paternalism and Big Brother.’
We should be careful not to vilify encryption itself, which is essential for privacy, data security, and global commerce.
The first wave of the Internet was really about data transport. And we didn’t worry much about how much power we were consuming, how much cooling requirements were needed in the data centers, how big the data center is in terms of real estate. Those were almost afterthoughts.
CCTV is seen either as a symbol of Orwellian dystopia or a technology that will lead to crime-free streets and civil behaviour. While arguments continue, there is very little solid data in the public domain about the costs, quantity and effectiveness of surveillance.
The falsification of scientific data or analysis is always a serious matter.
No matter how invasive the technologies at their disposal, marketers and pollsters never come to terms with the living process through which people choose products or candidates; they are looking at what people just bought or thought, and making calculations based on that after-the-fact data.
When we have all data online it will be great for humanity. It is a prerequisite to solving many problems that humankind faces.
All science is based on models, and every scientific model comprises three distinct stages: statement of well-defined hypotheses; deduction of all the consequences of these hypotheses, and nothing but these consequences; confrontation of these consequences with observed data.
Data is not information, information is not knowledge, knowledge is not understanding, understanding is not wisdom.
Any time scientists disagree, it’s because we have insufficient data. Then we can agree on what kind of data to get; we get the data; and the data solves the problem. Either I’m right, or you’re right, or we’re both wrong. And we move on. That kind of conflict resolution does not exist in politics or religion.
There’s been the emergence of a philosophy that big data is all you need. We would suggest that, actually, numbers don’t speak for themselves.
It is the greatest scam in history. I am amazed, appalled and highly offended by it. Global Warming; It is a scam. Some dastardly scientists with environmental and political motives manipulated long term scientific data to create an illusion of rapid global warming.
As we’ve got more data, and ClassPass has grown, we’ve had to change rather than have a one-size fits all approach.
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.
Data is the most valuable asset in the world.
On social networking sites, we may expose ourselves, but we choose to do so. We are in control and, often wrongly, we do not feel we are giving away tradable data.
Risk models are a substitute for historical knowledge, because they tend to work with just three years’ worth of data. But three years is not a long time in financial history.
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.
According to Breitbart, data from the Federal Election Commission show that Facebook staff gave $114,000 to Hillary Clinton. The next-closest recipient of political money was former Republican presidential candidate Marco Rubio. He only got $16,604.
The more the data banks record about each one of us, the less we exist.
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.
If you are just using the service to look at Web sites and download e-mail, then a DSL line may be cheaper. It is when you have more data going out that wireless can make a difference.
There’s a lot of scientific data that I found out as a scientist that actually show that this is really a young Earth.
Marketers use big data profiling to predict who is about to get pregnant, who is likely to buy a new car, and who is about to change sexual orientations. That’s how they know what ads to send to whom. The NSA, meanwhile, wants to know who is likely to commit an act of terrorism – and for this, they need us.
One of the issues of social networking silos is that they have the data and I don’t.
Data is what distinguishes the dilettante from the artist.
KPMG’s use of IBM Watson technology will help advance our team‘s ability to analyze and act on the core financial and operational data so central to the health of organizations and the capital markets.
No observational problem will not be solved by more data.
If you are a plane-spotter, and you are interested in the history of a particular aircraft, you know there are many documents publicly available: registration papers and airworthiness certificates from the FAA. You can also get flight data from the FAA.
I was shocked to find that there were actually climate scientists who wouldn’t share the raw data, but would only share their conclusions in summary graphs that were used to prove their various theories about planet warming. In fact I began to smell something really bad, and the worse that smell got, the deeper I looked.
To get high data transfer rates in communicating information, you would love to use optical fibers. The problem is that light is extremely hard to manipulate. So we make a perfect copy of the information carried by the light. We transfer it to matter – the condensate.
Data science is the combination of analytics and the development of new algorithms.
If you use your smart toothbrush, the data can be immediately sent to your dentist and your insurance company, but it also allows someone from the NSA to know what was in your mouth three weeks ago.
We don’t have enough data about how lifestyle decisions impact our health.
That’s not how national security works… I don’t care what the Supreme Court said 30 years ago or what some judge said 15 minutes ago. This is America, and our government is collecting way too damn much data on we the private citizens!
You and I are streaming data engines.
The Trump campaign generally does not respond at all to my requests for information – either requests for broader data on Trump’s charitable giving or narrow requests for information about specific subjects, like the $20,000 portrait of himself that Trump seems to have purchased with money from his charity.
There will be hundreds of new companies that will be created to develop these very simple data devices.
Let me tell you – when I was standing there on top of the world, you become so humble. You don’t think about breaking records anymore, you don’t think about gaining scientific data – the only thing that you want is to come back alive.
While NCLB drove important progress on transparency and data disaggregation, I think it’s clear that the status quo in public education is not working for our kids or our country.
You need the right balance between data and gut feeling.
CCTV is seen either as a symbol of Orwellian dystopia or a technology that will lead to crime-free streets and civil behaviour. While arguments continue, there is very little solid data in the public domain about the costs, quantity and effectiveness of surveillance.
It turns out that with Twitter data alone, we can go quite some way into figuring out someone’s personality.
Our investments in data, Internet and international have been particularly timely and have positioned the company to post industry-leading incremental revenue gains.
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.
I love computer programmers. They have a very beautiful definition of complexity as ‘the capacity to transmit the maximum information with the minimum data’.
Maybe stories are just data with a soul.
Data is going to be dynamic… and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.
Oracle, for example, has even hired people to dumpster dive for information about its competitor, Microsoft. It’s not even illegal, because trash isn’t covered by data secrecy laws.
To understand how quickly we’re cooking the planet, we need good data. To have good data, we need good satellites.
I was looking for something like baseball, where there’s a lot of data and the competition was pretty low. That’s when I discovered politics.
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.
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.
The most important lesson to take away from allowing the minimum wage and unemployment benefit data to talk is that abstract notions of what is right, good and just should be examined from a concrete, operational point of view. A dose of reality is most edifying.
Traditionally, when you talk to people who have Parkinson‘s or Alzheimer‘s, they’ll talk about how they’re in five or six studies, and they’ve been sequenced by each study. That’s just fat in the system. Just have a single data set that then you can share. You can make the entire system more efficient.
The world is being re-shaped by the convergence of social, mobile, cloud, big data, community and other powerful forces. The combination of these technologies unlocks an incredible opportunity to connect everything together in a new way and is dramatically transforming the way we live and work.
The long-term value proposition for cellphone companies isn’t just voice conversation – it’s transfer of data.
I had many moments of disappointment, despondency, and exhaustion, but I always found that by reading the literature and showing up at my lab looking at the data as they emerged day by day and discussing them with my students and postdoctoral fellows, I would gain a notion of what to do next.
We want to ensure that as a user is moving through their world, their data is following them in an appropriate manner.
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.
Our investments in data, Internet and international have been particularly timely and have positioned the company to post industry-leading incremental revenue gains.
Data is valuable, so let’s be mindful of how we’re sharing it.
With portable cameras and affordable data and non-linear digital editing, I think this is a golden age of documentary filmmaking. These new technologies mean we can make complicated, beautifully crafted and cinematic films about real-life stories.
You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment.
As a consultant at McKinsey, I learned the value of data and the ability to shape that information into an answer.
You need to keep having data points of progress, so even if an investor – and we’ve all had investors say no to us – there are times where you go back, and you keep them in the loop, and you keep telling them the progress and the perseverance you have.
We share no data with the government anywhere in the world.
A self-driving car will have 200-plus CPUs. That’s a data center on wheels.
With faster Internet and better computers, you’d better believe we’re creating and consuming more digital data.
While it’s wonderful that investors have access to all the data now available to them, it has become a full-time job to sift through it and separate out the valuable news from the useless noise.
The data strongly suggest that very good years in the U.S. stock market are followed by more good years.
In a slower economy, companies look for more value. The cloud provides this. So does Big Data.
Data is going to be dynamic… and, combined with the performance of computing that allows for artificial intelligence to be applied, is going to bring all kinds of insights and additives to enhance everyday life.
TCP works very hard to get the data delivered in order without errors and does retransmissions and recoveries and all that kind of stuff which is exactly what you want in a file transfer because so you don’t want any errors in your file.
No amount of data will tell you if a feature should be in the product, because it doesn’t exist. You need to have a very clear leader with a clear point of view… otherwise, you get a mishmash of features and stuff that doesn’t make a lot of sense.
To be an effective leader and make sound decisions, you must be able to gather data by seeking out diverse perspectives and be willing to consider points of view other than your own.
And never – not in a single case – was the explanation, ‘I was pressured to do this.’ The explanation was very often, ‘The limited data we had led one to reasonably conclude this. I now see that there’s another explanation for it.’
Fortunately, in Piramal Enterprises, we are in three broad sectors. One is in the whole financial services sector, the second is in pharmaceuticals, and the third is in healthcare analytics and data.
AIs are only as good as the data they are trained on.
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.
We need intelligence services to fight against terrorism, but they have to respect the principles of good relationships between allies and protect personal, confidential data.
No data on air propellers was available, but we had always understood that it was not a difficult matter to secure an efficiency of 50% with marine propellers.
We originally started AdNectar to serve brand advertisers, but we’ve now found that our publishers are greatly benefiting from integrating our system. In addition to a new revenue source and the data our API provides, it turns out users actually prefer branded over generic virtual items.
Quantcast combines powerful web analytics with easy-to-read charts and data.
For technology companies, information about what people do online is extremely valuable – it can be used to sell targeted advertising or sold to data clearinghouses.
My job is about emotion. My job is about feeling. This might be controversial to say, but I feel like sometimes data gets in the way of that.
Big data sets are never complete.
You can have data without information, but you cannot have information without data.
While the creative works from the 16th century can still be accessed and used by others, the data in some software programs from the 1990s is already inaccessible.
HubSpot has used the lean startup method to build a spectacularly successful company. What I particularly love about HubSpot is that they are so geeked out on data analysis and making evidence-based decisions, which are at the heart of the Lean Startup process.
People are stunned to hear that one company has data files on 185 million Americans.
I usually just try to do whatever’s on the page because I’ve done research before – including a lot of analysis – but you end up with conflicting data. To me, the script is king.
You can’t talk about big data without talking about things like privacy and ownership.
Uncontrolled access to data, with no audit trail of activity and no oversight would be going too far. This applies to both commercial and government use of data about people.
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.
There’s enough data showing that the fitter you are, the better you eat, the more likely you are to stay healthy longer.
Voters should know what their representative is doing, what votes he casts, and who he pays, so my office will make this data readily available in a way which is easy to understand.
What you get is what you see, which is suspending kids doesn’t lead to high attrition rate. That is what the data shows.
David Cameron has already said, and I have said, that a Conservative government would be giving the security agencies and law enforcement agencies the powers that they need to ensure that they are keeping up to date as people communicate with data.
Social security, bank account, and credit card numbers aren’t just data. In the wrong hands they can wipe out someone’s life savings, wreck their credit and cause financial ruin.
Economics pretends to be a science. Its practitioners fill blackboards with equations and clog computers with data. But it is really a faith, or more accurately a set of overlapping and squabbling faiths, each with its own doctrines.
Government and businesses cannot function without enormous amounts of data, and many people have to have access to that data.
I sit on the board of Cloudera, a big vantage point of big data.
Net Neutrality originally referred to management of the ‘last mile‘ of the network over which data flows into a person’s home, but the debate has grown beyond that in recent years.
When a human being becomes a set of data on a website like Facebook, he or she is reduced. Everything shrinks. Individual character. Friendships. Language. Sensibility.
Health isn’t only what was genetically given to you; it’s also about your environment and what you do on a day-to-day basis. The more we understand that, the more we can personalize it, and really, it requires us to have more and more data about the individual.
If you go back a few hundred years, what we take for granted today would seem like magic – being able to talk to people over long distances, to transmit images, flying, accessing vast amounts of data like an oracle. These are all things that would have been considered magic a few hundred years ago.
Some 43 percent of voters in union households voted for President Bush in 2004, according to exit poll data.
The reason Donald Trump was elected was that we automated away four million manufacturing jobs in Michigan, Ohio, Pennsylvania, and Wisconsin. If you look at the voter data, it shows that the higher the level of concentration of manufacturing robots in a district, the more that district voted for Trump.
As medical data has such power to deliver better understanding of disease and better patient outcomes, it is important we find the best way of sharing it.
One of the challenges with a government health system, like in the UK, with all of this data, is that you have a government making decisions on which treatments they’ll pay for and which ones they won’t. That’s a dangerous, dangerous, place to get into society.
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.
We must learn to set our emotions aside and embrace what science tells us. GMOs and nuclear power are two of the most effective and most important green technologies we have. If – after looking at the data – you aren’t in favour of using them responsibly, you aren’t an environmentalist.
The paradigm of physics – with its interplay of data, theory and prediction – is the most powerful in science.
In the blockchain world, each user can and should own their data, and ‘central’ players are less vulnerable to data losses and breaches.
We saw that our customers required help beyond the data sets they had and that they could benefit from a wider opinion. So we built SurveyMonkey Audience, and we’ve now got 4 million users who signed up to take surveys. Our clients can choose the demographic they want to hear from, and we can provide that sample.
Voter fraud is a reality in American elections, but it is typical of the candidate to confuse anecdote with data and turn allegation into conspiracy.
Web users ultimately want to get at data quickly and easily. They don’t care as much about attractive sites and pretty design.
It is clear as you look at the team why Data Point Capital has so quickly become one of the premier venture capital firms. I look forward to adding to the firm‘s very bright future.
We’re long past having to defend or explain why women should be on boards, given all the data that shows how companies with female as well as male directors perform better. It’s unfortunate when companies with a large percentage of women constituents don’t reflect that in their boardrooms.
If you’re a scientist, and you have to have an answer, even in the absence of data, you’re not going to be a good scientist.
I want the world’s data accessible.
I took computers in high school. I would do all my own programming, but I didn’t see the future of computers for anything other than data processing. Who was going to use a computer for communications?
It is a capital mistake to theorize before one has data.
The Pentagon should use data to guide financial decision-making.
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.
Either data supports the observations or they don’t. Voting doesn’t work in science.
Yes, Data is hairless but I am not. And we are both anatomically correct.
I’ve always believed that human learning is the result of relatively simple rules combined with massive amounts of hardware and massive amounts of data.
I’m not for the mass collection of data. I go the other way.
We’re entering a new world in which data may be more important than software.
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.
! want to leverage the creativity of researchers across mathematics, statistics, data mining, computer science, biology, medicine, and the public at large.
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.
Data will always bear the marks of its history. That is human history held in those data sets.
As every entrepreneur and investor sifts through year-end data to predict the next trend or opportunity for financial success, there is a much easier way to accurately predict the future: hang out with those who are creating it.
The job of the data scientist is to ask the right questions.
There is certainly a growing body of data that correlates investments in women with a country’s general prosperity; a recognition that no country can get ahead if half its people are left behind.
We’ve got to use every piece of data and piece of information, and hopefully that will help us be accurate with our player evaluation. For us, that’s our life blood.
If we stay focused on data and the real issues, we can tailor our inventions to enhance public health and safety while decreasing the likelihood of racial discrimination.
Ensuring the San Luis Valley‘s Radar data is fully integrated into National Weather Service systems will improve weather forecasting and warnings across southern Colorado for the benefit of farmers, ranchers, tourists, first responders, water district managers, and the general population.
The weaker the data available upon which to base one’s conclusion, the greater the precision which should be quoted in order to give the data authenticity.
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.
Amazon is famously run by studying and responding to its own data; yet when it comes to promotions, decisions are often subjective and guided by human emotions and petty political dynamics.
I don’t want to become a rhetorical speaker. My effectiveness is mastering all of the data and being able to respond.
However, the models also predict unambiguously that the atmosphere is warming faster than the surface of the earth; but all the available observational data unambiguously shows the opposite!
I spend way too much time watching television, going to sports games, going to movies. It struck me that there’s an awful lot of data in the public domain for these sectors. The movie industry publishes weekly sales numbers – not many industries do.
To make a vehicle autonomous, you need to gather massive streams of data from loads of sensors and cameras and process that data on the fly so that the car can ‘see’ what’s around it.
Emphasize your strengths on your resume, in your cover letters and in your interviews. It may sound obvious, but you’d be surprised how many people simply list everything they’ve ever done. Convey your passion and link your strengths to measurable results. Employers and interviewers love concrete data.
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.
Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you’ll work through just won’t impart this knowledge. That’s fine.
We live in a society bloated with data yet starved for wisdom. We’re connected 24/7, yet anxiety, fear, depression and loneliness is at an all-time high. We must course-correct.
The more the data banks record about each one of us, the less we exist.
In baseball you have terrific data and you can be a lot more creative with it.
Making more sense out of my data, my needs, my tasks – to me, that’s the future of Office.
By relying on the statistical information rather than a gut feeling, you allow the data to lead you to be in the right place at the right time. To remain as emotionally free from the hurly burley of the here and now is one of the only ways to succeed.
I think that the default for collecting any kind of personal data should be opt-in consent.
Some people have that school of thought where fitness isn’t enjoyable, but we’re making it enjoyable, I think, by making it more fun, challenging, and engaging rather than this boring thing that you have to do. It’s about using technology and data to change this experience.
In the future, it’s going to move from being just a data transport to really becoming a media experience platform. The Internet will be more about media, more about collaboration, much more virtualized and much more green.
Information agencies operate in an industry that values data. Restricted access to information is what makes it valuable.
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.
It is not the job of government to collect and store vast amounts of biographical and biometric data belonging to innocent people.
Data is the kind of ubiquitous resource that we can shape to provide new innovations and new insights, and it’s all around us, and it can be mined very easily.
People usually compare the computer to the head of the human being. I would say that hardware is the bone of the head, the skull. The semiconductor is the brain within the head. The software is the wisdom. And data is the knowledge.
‘Bloomberg’s, you know, for people who don’t use the service, provides through the Internet – through specialized computers – information about the financial world. It’s a very large data base. I think they have on the order of a billion dollars or more a year in revenue.
Even the best data security systems can’t protect private taxpayer information from entrepreneurial foreign businesses than can make huge profits selling U.S. taxpayer information.
Now is the time for Afro-realism: for sound policies based on honest data, aimed at delivering results.
The use of drones is rapidly transforming the way we go to war. On the battlefield, a squad leader can receive real-time data from a drone that enables him to view the landscape for miles in every direction, dramatically expanding the capabilities of what would normally have been a small and isolated unit.
You go to a Japanese restaurant and have a wonderful dish, and the thing to do is take a picture with your phone, put it on Facebook, and see how many likes you get. If you don’t share your experiences, they don’t become part of the data processing system, and they have no meaning.
The answers to today’s most important scientific, business, and social problems lie in data.
While incarcerated, I had no bank statements, no bills, no credit history. In our interconnected world of big data, I appeared to be no different than a deceased person.
A century ago the Spanish flu confounded scientists and devastated whole regions, but while today’s society has air travel and an enormous, heterogeneous population, we also have antibiotics, fantastic communication networks and, perhaps most crucially, more data than ever.
Being deeply knowledgeable on one subject narrows one’s focus and increases confidence, but it also blurs dissenting views until they are no longer visible, thereby transforming data collection into bias confirmation and morphing self-deception into self-assurance.
My life experience confirms that the U.S. government frequently overclassifies data. But that’s a stronger argument for not dumping large volumes of government traffic on an unclassified personal server than it is a justification for retroactively challenging classification decisions.
In fact, the Harvard study data indicates that 70 percent of African American children attend schools that are predominately African American, about the same level as in 1968 when Dr. King died.
I eventually think its going to be the consumer who controls his own data.
Incidentally, think about the ramifications of storing data on light waves that can be stopped and started at the speed of light.
If there can be three certain things in life, instead of two, it might be death, taxes, and data.
One thing that we learned that we published on our blog post is that uniformly, men lie about their height by almost exactly two inches. So if you look at a plot of census bureau data on the distribution of men’s heights in the U.S. and you plot men’s heights on OKCupid, it is exactly shifted two inches to the left.
Our understanding of the human brain can be dramatically accelerated if we collect and share research data on an exponentially wider scale.
‘Globalization’ has become the great tag phrase, but when we talk about it, it’s nearly always in terms of the global marketplace or communications technology – either data or goods that are whizzing around. We forget that people are whizzing around more and more. On them, it takes a toll.
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.
The materialistic paradigm of Western science has been a major obstacle for any objective evaluation of the data describing the events occurring at the time of death.
Many Android users aren’t aware of some the things that Android can already do such as supporting the enforcement of companywide security policies, encrypting phone data and providing e-mail and calendar widgets that update in real-time. Our job is to help people and businesses discover and use these features.
Broadband, or a wide bandwidth data transmission that has the capacity to transmit a lot of information quickly, has changed the way we work, shop, watch movies, and communicate with loved ones.
My work is focused on using data to tell stories and explore our common humanity.
All you need is lots and lots of data and lots of information about what the right answer is, and you’ll be able to train a big neural net to do what you want.
Philips is uniquely positioned to help reshape and optimize population health management by leveraging big data and delivering care across the health continuum, from healthy living and prevention to diagnosis, minimally invasive treatment, recovery, and home care.
The scientific method actually correctly uses the most direct evidence as the most reliable, because that’s the way you are least likely to get led astray into dead ends and to misunderstand your data.
While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.
In the developed world, we are surrounded by electronics – from the computers on our desks to the smart phones in our pockets to the thermostats in our homes to our data in the virtual cloud.
Praxeology – economics – provides no ultimate ethical judgments: it simply furnishes the indispensable data necessary to make such judgments.
A hacker is someone who uses a combination of high-tech cybertools and social engineering to gain illicit access to someone else’s data.
I think, ultimately, open always wins out. It wins out because you cannot lock data in; you can’t lock people in. They will find a way out.
Ageing is very exciting. But if I didn’t work on ageing, I’d want to work on the brain. There are really cool techniques you can use now. And bioinformatics. The methods you can use for comparing large data sets – that’s so powerful.
The digitally-native vertical brand drives a lot more customer intimacy than its competition. The data is better because every transaction and interaction is captured.
Theories come and go, but fundamental data always remain the same.
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.
A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.
There’s a great deal of suspicion and misunderstanding about IT among practicing doctors. One hears things like, ‘I don’t want to be turned into a data entry clerk, and I don’t want some machine between me and my patients.’
You need the right balance between data and gut feeling.
Our ability to do great things with data will make a real difference in every aspect of our lives.
The most valuable thing you can have as a leader is clear data.
Passion provides purpose, but data drives decisions.
I was interested in data mining, which means analyzing large amounts of data, discovering patterns and trends. At the same time, Larry started downloading the Web, which turns out to be the most interesting data you can possibly mine.
Big data is going to make us all healthier.
Apple knows a lot of data. Facebook knows a lot of data. Amazon knows a lot of data. Microsoft used to, and still does with some people, but in the newer world, Microsoft knows less and less about me. Xbox still knows a lot about people who play games. But those are the big five, I guess.
My mission is to bring the power of big data insights and analytics to every company.
The ability of businesses to monitor our behavior is already a fact of life, and it isn’t going away. Of course we must protect our privacy rights. But if we’re smart, we’ll also use the data that is being collected to improve our own lives.
I think, in general, data protection really matters.
Think of your existing power as the exponent in an equation that determines the value of information. The more power you have, the more additional power you derive from the new data.
Passion provides purpose, but data drives decisions.
A hacker is someone who uses a combination of high-tech cybertools and social engineering to gain illicit access to someone else’s data.
Any enterprise that is serious about experiencing the power of Big Data in real-time should be looking at DataTorrent.
There’s a large percentage of mobile phones that now have a camera that’s with you a lot of the time, and there’s a lot of interest around those cameras as a data collection mechanism.
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.
If you think data about illegal alien crime is hidden from public, just try to find information on the contagious diseases brought across our borders by illegal aliens from nearly 100 countries.
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.
Education has always produced an incredible amount of data; that’s always been obvious to me. But technology had to catch up.
Drones watch for disease and collect real-time data on crop health and yields.
Some of the pictures in ‘The Human Face of Big Data’ will bring tears to your eyes; others are so surprising or memorable that you just have to show them to your friends and family.
Data helps solve problems.
I can actually build my equipment at the back end of the telescope such that it takes the data from all of the separate antennas and adds the signal together with different time delays and different phase shifts – it’s as if I were picking out up to eight individual pixels in this large field of view.
One problem I have with drug companies is that they don’t make all their data public.
Metaprograms are programs that manipulate themselves or other programs as data.
Automobiles and the automotive industry are increasingly driven by data and computing. The saying ‘What’s under the hood’ will increasingly refer to computing, not horsepower.
Most entrepreneurs are very gut driven – they have to be because the odds and data are often stacked against them. If your gut says something is the right thing to do, then do it.
Brave plays the long game on behalf of users first, and also publishers, to win a better Web with fast, safe browsing, anonymous micropayments, and user control over data.
Now we have a whole separate supplier of data for Able Danger who’s verifying that same information.
You’re starting to see programs literally completely supported – all the data usage supported by a company. So our friends at AwesomenessTV are doing a series set on a cruise ship called ‘Royal Crush‘ completely subsidized by Royal Caribbean cruises because they’re trying to have teens see that cruises can be cool.
The Internet will continue to be valuable so long as it is the most efficient mechanism for transferring data. Bitcoin’s value is the same: It will remain as long as it is the most efficient mechanism for transferring ownership.
Everything is changing now that we are in the cloud in terms of sharing our data, understanding our data using new techniques like machine learning.
