Quotes About Data

When dealing with data, scientists have often struggled to account for the risks and harms using it might inflict. One primary concern has been privacy - the disclosure of sensitive data about individuals, either directly to the public or indirectly from anonymised data sets through computational processes of re-identification.

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.

My work is focused on using data to tell stories and explore our common humanity.

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.

Today, I think a CFO needs to be more of an operating CFO: someone who's using the financial data and the data of the company to help drive strategy, the allocation of capital, and the management of risks.

When I think about privacy on social media sites, there's kind of the usual suspect problems, which doesn't make them any less important or severe; it's just we kind of know their shape, and we kind of know how we're going to solve them.

A lot of what people are calling 'artificial intelligence' is really data analytics - in other words, business as usual. If the hype leaves you asking 'What is A.I., really?,' don't worry, you're not alone.

E-mail, when it became mobile - what happened? Utilization of email went through the roof. Just pure Internet access and data - what happens when you mobilize it? Multiples. People are dependent upon broadband and as you mobilize it, they become even more dependent on broadband.

There's nothing wrong with talking out loud in public, but there is something wrong with the government sucking up all those utter instances in a database just in case they maybe want to bust you in five years.

One scientist will interpret data one way, another in another way. One scientist may feel that an experiment is valid, another feels it's invalid. That's why scientists have discussions and put forward their opinions in conferences and papers.

As befits Silicon Valley, 'big data' is mostly big hype, but there is one possibility with genuine potential: that it might one day bring loans - and credit histories - to millions of people who currently lack access to them.

Companies in Silicon Valley invest a lot in understanding their users and what drives user engagement.

The more up-to-date the information, the more valuable it is.

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.

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.

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.

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.

As everything becomes digitized, there's the idea that things that can't be digitized become more valuable.

Since Snowden went public, companies such as Apple and Google - two of the world's most valuable companies - have incorporated much greater encryption into their products and have also been at pains to show that they will not go along with U.S. government demands to access their encrypted products.

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.

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.

For me myself, I feel it's always interesting gathering data. I have my team who do that. I think they feed me through specific things that I might find valuable.

Crosscheck is a really valuable tool.

Curating our data is valuable. Like 23andMe - while selling us the chance to know whether we're Vikings or whatever, they're amassing these huge DNA databases that are unimaginably valuable. Get people to pay you to add their DNA to this database. Genius!