Quotes of All Topics . Occasions . Authors
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.
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.
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.
If you can follow only one bit of data, follow the earnings - assuming the company in question has earnings. I subscribe to the crusty notion that sooner or later earnings make or break an investment in equities. What the stock price does today, tomorrow, or next week is only a distraction.
The World Health Organization recently published some data showing that each overweight person causes and additional one tonne of CO2 to be emitted every year. With one billion people overweight around the world-of whom at least 300 million are obese-that's an additional one billion tonnes.
Homeland security is inherently transnational today. There's hardly anything adverse that happens in our homeland that doesn't have a cause or effect that's generated abroad. Increasingly, we must rely on our allies and foreign governments to share information and data to secure our country.
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.
I have never left the company. I keep a tiny residual salary to this day because that's where my loyalty should be forever. I want to be an "employee" on the company data base. I won't engineer, I'd rather be basically retired, due to my family. (talking about his relationship with Apple Inc)
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.
With a hundred and seventy-eight machines to sequence the precise order of the billions of chemicals within a molecule of DNA, B.G.I. produces at least a quarter of the world's genomic data - more than Harvard University, the National Institutes of Health, or any other scientific institution.
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.
The internet doesn't have any qualities, technical qualities. It's just fast, reaching out everywhere and so, it can process that and that volume of data flows and so, but it doesn't have any qualities like "good" or "bad" or "ethical" or "non-ethical". It's humans, it's us, not the internet.
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.
The whole point of building theoretical systems is to explain what humans know by pre-theoretical experience. That is the starting point for any philosophy. That is the data it seeks to explain. If it fails to explain the data of experience, then it has failed the test. It has been falsified.
For decades, scholars have studied the ways in which implicit biases affect how we perceive other people in this multiethnic society of ours. The data consistently shows that about 90 percent of us possess some implicit prejudices - and, unsurprisingly, people typically favor their own group.
Like Netflix, Looker started as nothing more than an idea. Lloyd Tabb and Ben Porterfield were two brilliant engineers who had figured out a better way for businesses to see and analyze their data, and they asked me to join them to help out with the ABCs - that's short for Anything But Coding.
My analyses and conclusions differ diametrically from those of the Southern Research Institute/National Cancer Institute report wherein it is concluded that amygdalin 'does not possess activity in the Lewis lung carcinoma system.'. My analysis of the data is that it is overwhelmingly positive.
By converging people, process, and data, the benefits the Internet of Everything delivers to humanity are seemingly infinite. Imagine being able to track and understand, and then predict, long-term weather patterns. Farmers will be able to plant crops that have the greatest chance for success.
Too often in business, only financial data is gathered - and then it is distributed only to management. Other key indicators that relate to performance areas also need to be tracked. Information on performance has to be made available to those people who can best use it - those doing the work.
Hoffmeier furnishes a sophisticated fresh approach to the Biblical Exodus traditions filled with detailed Egyptological background, and utterly indispensable because of its basis in recent, and in many cases as yet unpublished, archaeological data. This is a virtual encyclopedia of the Exodus.
There is the GIS world that is largely managing authoritative data sources, supporting geocentric workflows like fixing roads, making cities more livable through better planning, environmental management, forest management, drilling in the right location for oil, managing assets and utilities.
A smart contract is a mechanism involving digital assets and two or more parties, where some or all of the parties put assets in, and assets are automatically redistributed among those parties according to a formula based on certain data that is not known at the time the contract is initiated.
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.
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.
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.
I was raised on a dairy farm and ate plenty of meat and eggs until about twenty years ago. I started doing nutritional research, and a decade pr so after that my family made some major dietary changes. I'm just paying attention to what the data are telling me: The scientific evidence came first.
Alternative explanations are always welcome in science, if they are better and explain more. Alternative explanations that explain nothing are not welcome... Note how science changed those beliefs when new data became available. Religions stick to the same ancient beliefs regardless of the data.
This is an ongoing threat from a variety of sources around the world. And actually I think it works both ways. I'm not privy to it, but I think all of the various country that have the ability are invading each other's computers all the time. But we have to protect our data. It's very important.
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.
Lastly, the great uncertainty of all data in War is a peculiar difficulty, because all action must, to a certain extent, be planned in a mere twilight, which in addition not unfrequently — like the effect of a fog or moonshine — gives to things exaggerated dimensions and an unnatural appearance.
Science is composed of laws which were originally based on a small, carefully selected set of observations, often not very accurately measured originally; but the laws have later been found to apply over much wider ranges of observations and much more accurately than the original data justified.
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.
The polling data shows not an unbelievable level of concern [on climate issue] but a general awareness of this problem. And now I think it's up to all sorts of people who really care about these things to continue on this new ground to try and make this the central political issue it needs to be.
The [Bernie] Sanders campaign became the center of a good old-fashioned political controversy. His coverage went from no news to bad news with the revelation that four Sanders staffers took advantage of a software glitch to access confidential voter data belonging to the Hillary Clinton campaign.
I will talk about two sets of things. One is how productivity and collaboration are reinventing the nature of work, and how this will be very important for the global economy. And two, data. In other words, the profound impact of digital technology that stems from data and the data feedback loop.
The NSA is not listening to anyone's phone calls. They're not reading any Americans' e-mails. They're collecting simply the data that your phone company already has, and which you don't have a reasonable expectation of privacy, so they can search that data quickly in the event of a terrorist plot.
Economics is not an exact science. It's a combination of an art and elements of science. And that's almost the first and last lesson to be learned about economics: that in my judgment, we are not converging toward exactitude, but we're improving our data bases and our ways of reasoning about them.
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.
The diverse threats we face are increasingly cyber-based. Much of America's most sensitive data is stored on computers. We are losing data, money, and ideas through cyber intrusions. This threatens innovation and, as citizens, we are also increasingly vulnerable to losing our personal information.
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.
I think that having good data, good statistics-and the United States generally has better macroeconomic statistics than most countries-and having good economists to interpret those data and present the policy alternatives, has a substantially beneficial effect on policymaking in the United States.
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.
So the idea is to triangulate a sufficiently large number of data points in your set of experience that you can make a model of the world that is not imprisoning. That's why, second to psychedelics, I think travel is the most boundary-dissolving, educational enterprise that you can get mixed up in.
Remember the early days of the Net, when everything was going to be open and free, and we were all going to share information in a techno-utopia? That was great until people realized that their user data could be turned into gold. Now there are billions at stake, and nobody is playing nice anymore.
As we get older, we tend to grow quite fond of the planets of belief we have constructed for ourselves. We build elaborate defense mechanisms to ward off attacks from competing ideas or new data. The system makes us comfortable but resistant to change, no matter how much change might be called for.
I do this sort of thing where, even for my own shows, I like to supply my own fingerprint of creativity. Not just ideas, technical things: offering model data, creating visuals for my stage show myself, babysitting renders, learning that technology as I go. That's what makes me feel like an artist.
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.
I figured the process of someone standing at a shelf and deciding what juice to buy is going to be very different than someone sitting at the computer clicking through a bunch of different books or CDs-until I actually looked at the data, and it turned out that the patterns were remarkably similar.
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.
Every company has messy data, and even the best of AI companies are not fully satisfied with their data. If you have data, it is probably a good idea to get an AI team to have a look at it and give feedback. This can develop into a positive feedback loop for both the IT and AI teams in any company.