Finding that people are searching for my name and work on IMDb, which is the biggest data base for movies and celebrities in the world, is immensely special and motivating.
I think we are, certainly in the Department of Justice, a fan of some of the data-mining techniques that will allow us to more effectively zero in on fraud.
You need to take your gut feeling as an important data point, but then you have to consciously and deliberately evaluate it, to see if it makes sense in this context.
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.
We are not at the same place we were in 1973. This country today is drifting, moving steadily towards the pro-life position because the data is with us.
Technologies like Ayasdi's exist now to automatically discover information from data without having someone making guesses up front.
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.
GIS is being influenced by and integrating with all kinds of new innovations such as faster computing, big data, the cloud, smart devices, and distributed processing.
It's OK when something doesn't work. It gives you another data point when things do work.
The challenge is for the graphic designer to turn data into information and information into messages of meaning.
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.
By definition, big data cannot yield complicated descriptions of causality. Especially in healthcare. Almost all of our diseases occur in the intersections of systems in the body.
Graphic designers are idea embalmers, loving undertakers preserving bits of data like to many butterflies pinned to felt in a jewel box.
If you just talk to who's easy to talk to, you're not really getting the best data.
Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.
In a world where data is coin of the realm, and transmissions are guarded by no better sentinels than man-made codes and corruptible devices, there is no such thing as a secret.
If you look at the science that describes what is happening on earth today and aren't pessimistic, you don’t have the correct data. If you meet the people in this unnamed movement and aren't optimistic, you haven’t got a heart.
Jack's [Ma Yun ] theory is that whoever controls data controls the world.
The best decision-makers are always armed with the best information and data!
Technology is giving companies superpowers to compete more intelligently and capture the data behind changing trends, expanding markets, and new opportunities.
Customers need to be given control of their own data-not being tied into a certain manufacturer so that when there are problems they are always obliged to go back to them.
The fear isn't that big data discriminates. We already know that it does. It's that you don't know if you've been discriminated against.
Young people live in a society in which every institution becomes an "inspection regime" - recording, watching, gathering information and storing data.
Startling, and alarming to many, is the conclusion that follows from these data that if all people were treated the same, most average race differences would not disappear.
Even though Traf-O-Data wasn't a roaring success, it was seminal in preparing us to make Microsoft's first product a couple of years later.
There is a shirt company that is making sensors that go into your clothing. They will watch how you sit, run or ski and give data on that information.
Companies usually are not able to provision accurately the amount of data center capacity that they require, and this problem recurs when they create their own internal cloud infrastructure.
Corporations like Google, Facebook, Amazon, all of these large companies, are making tens or hundreds of billions of dollars off of monetising people's data.
Even more important than statistics is then having the staff that can take the data and ensure it's presented in a way that improves individuals and teams.
Generally, the craft of programming is the factoring of a set of requirements into a a set of functions and data structures.
You could claim that moving from pixelated perception, where the robot looks at sensor data, to understanding and predicting the environment is a Holy Grail of artificial intelligence.
Smartphone usage is on the rise and mobile data is getting cheaper. People are watching a lot of content on their smartphones. So, digital has a bright future in India.
Scientists like ripping problems apart, collecting as much data as possible and then assembling the parts back together to make a decision.
Why don't I talk about Big Data? Because I am focused on intelligent answers and not speeds and feeds. It doesn't matter if it is quick if it's the wrong answer.
Our investments in data, Internet and international have been particularly timely and have positioned the company to post industry-leading incremental revenue gains.
I sit on the board of Cloudera, a big vantage point of big data.
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.
Once you have confidence in your instincts, you must never allow other people's refusal to believe, or their data to refute, what you instinctively know is true.
Start-ups should be hunch-driven early on and data-driven as they scale.
The only way people can really be excellent is with truth, so you have to have a CFO who will have the intellectual capacity and conviction to tell you you're wrong and try to support that with data.
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.
Information design addresses the organization and presentation of data: its transformation into valuable, meaningful information.
Thought, without the data on which to structure that thought, leads nowhere.
We believe open data helps citizens have a better understanding about Seoul's policies and motivates them to join the city government's efforts.
Cats vary so widely that all data is meaningless and the professional classifiers gnash their teeth trying to come up with even a single fact common to all.
Robert Kennedy identified with people, not data, or institutions, or theories. Poverty was a specific black face for him, not a manila folder full of statistics.
We're called conspiracy theorists because we see this cabal right in front of us. We're able to aggregate these data points and show what was really going on.
Public health officials, researchers and states rely on CDC data to track the coronavirus and make quite literally life and death decisions.
Data can't speak for itself; it's up to you to give it a voice. Try to speak truthfully.
We're rapidly entering a world where everything can be monitored and measured. But the big problem is going to be the ability of humans to use, analyze and make sense of the data.
There is more and more data indicating that there is a biological basis to your political views.
Whenever I see a forecast written out to two decimal places, I cannot help but wonder if there is a misunderstanding of the limitations of the data, and an illusion of precision.
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.
The UK has a poor investment record. According to IMF data, we have come seventh out of the top seven industrialised countries since 1999.
While traditional BI is interested in the 'what and the where,' data scientists are interested in the 'how and why'.
Our criteria for good data feeds are that they need to be dynamic enough to be interesting, something that users want to attune to throughout the day, etc.
Anybody who is familiar with the historical data from the IRS knows that raising income tax rates will likely actually reduce federal revenues.
When there are hiring decisions and promotion decisions to be made, people are hungry for data.
We live in a world so utterly infused with digitality that it makes even the slightest action ripple across the collection of data bases we call the web.
One of the best things data can enable us to do is to ask questions we didn't know to ask.
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