We've been publishing the TechStars data fully since the beginning on TechStars.com. For every single company, you can see if it's a failure, success, how much they raised. Entrepreneurs deserve that sort of transparency from accelerators, and it's not hard to do.
In 2011, mobile data traffic in the United States was eight times the size of the entire global Internet in 2000. That's traffic.
My mission is to bring the power of big data insights and analytics to every company.
Metaprograms are programs that manipulate themselves or other programs as data.
23andMe is pleased to bring public funding to bear on data and research driven by the public - our more than 180,000 customers.
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.
Do you realize the FBI filing system from the '50s was much more secure? How could you have stolen that data? It was on notecards. Now someone with a thumb drive, or remotely, can take the equivalent of millions of those notecards.
Most laws that we make to protect people from guns are usually ignored by the criminals and obeyed by the law-abiding people. And so I think that if you had better data, there'd be no one more in favor of it than law abiding gun owners because they don't want to be smeared and lumped in with the criminals who use guns.
You are forced to have the best data capture, the best information, when you have goods in hundreds of factories around the world, and the question is: 'Where is everything?' And how do you bring it all together?
I go back and think of President Kennedy, who had a military service background, but he comes into the presidency, and he's faced with a decision on the Bay of Pigs, with the C.I.A. and the military giving him data, and it turns out very badly.
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.
Facebook's data trove is enviable, and its moves into nearly every aspect of our lives - from payment to media, will create even more of it. The company also has created a huge base of developers for its platform, but the ecosystem is incomplete compared to vertically integrated OSes like iOS, Mac or Windows.
We went out and tagged 17 sharks and watched where they went. The data was amazing.
You may have heard the world is made up of atoms and molecules, but it's really made up of stories. When you sit with an individual that's been here, you can give quantitative data a qualitative overlay.
Data allow your political judgments to be based on fact, to the extent that numbers describe realities.
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.
What we know is smartphones are everywhere and they are rich in data. What we know is that there are apps once downloaded by the consumer that will also in turn download the consumers' contact book. Most consumers don't want that to happen and don't know it's happening.
The human genome contains so much data that, it has been calculated, it would fill 43 volumes of Webster's International Dictionary.
There are many types of economic data, but the type considered by Rob Engle and myself is know as time series.
Anything that can unambiguously represent two values - while resisting, just a wee bit, randomly flipping from the state you want retained into the opposite state - can encode binary data.
We tend to assume that data is either private or public, either owned by one person or shared by many. In fact there's more to it than that, above and beyond the upsetting reality that private data is now anything but.
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.
'Data exhaust' is probably my least favorite phrase in the big data world 'cause it sounds like something you're trying to get rid of or something noxious that comes out of the back of your car.
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.
The goal of 'Data Detectives' is to spark the imagination of students around the globe by making them think about new technologies that will impact humanity in ways similar to language and art.
In the increasingly digital world, data is a valuable currency, yet as consumers, we control and own little of it. As consumers, we must ask what big companies do with our data, a question directed to both the online and traditional ones.
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.
It would be a matter of concern for government if intrusive data capture has been deployed against Indian citizens or government infrastructure.
What can we learn from the battle between data and design? What can we learn from the relationship between Google and Apple? Clearly no one school of thought is right: Apple and Google are both wildly successful and profitable companies that changed the world.
I have the privilege of being the vice chair of the World Economic Forum's real estate council. In that role, I review a lot of economic data and original research from around the world.
What we did is we used NASA topography data to map out the landscape, very subtle changes. We started to be able to see where the Nile used to flow.
Our understanding of the human brain can be dramatically accelerated if we collect and share research data on an exponentially wider scale.
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.
Failure is an amazing data point that tells you which direction not to go.
Data from orbiting telescopes like NASA's Kepler Mission hint that the tally of habitable planets in our galaxy is many billion. If E.T.'s not out there, then Earth is more than merely special - it's some sort of miracle.
My interest is not data, it's the world. And part of world development you can see in numbers. Others, like human rights, empowerment of women, it's very difficult to measure in numbers.
