A Quote by Kate Crawford
Vivametrica isn't the only company vying for control of the fitness data space. There is considerable power in becoming the default standard-setter for health metrics. Any company that becomes the go-to data analysis group for brands like Fitbit and Jawbone stands to make a lot of money.
Related Quotes
The company started in the early 90s or late 80s. We were a behavioural science company. We didn't pivot into data analytics till 2012. So, all the data that we collected pre-2012, which was done by the British company SBL group, was collected through quantitive and qualitative research on the ground.
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.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
Every company has big data in its future and every company will eventually be in the data business.
Why are we here? I think many people assume, wrongly, that a company exists solely to make money. Money is an important part of a company's existence, if the company is any good. But a result is not a cause. We have to go deeper and find the real reason for our being.
When I started out as an equity analyst, we had no securitization data. We relied on company data.
In the U.S., you even lose legal rights if you store your data in a company's machines instead of your own. The police need to present you with a search warrant to get your data from you; but if they are stored in a company's server, the police can get it without showing you anything. They may not even have to give the company a search warrant.
In the US, you even lose legal rights if you store your data in a company's machines instead of your own. The police need to present you with a search warrant to get your data from you; but if they are stored in a company's server, the police can get it without showing you anything.
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.
Is there any fairness in a system where a group of people can borrow a bunch of money to buy a company and pay themselves millions of dollars in dividends and fees, while the company itself ends up bankrupt and its employees lose their jobs, health insurance and pensions?
When a nanotech company matures and becomes a real business, it becomes something else. It becomes a biotech company or a cleantech company or a memory chip company. Nanotechnology has fueled the core innovations in electronics and energy.
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.
Every company today is a data company whether they realize it or not.
The USA Freedom Act does not propose that we abandon any and all efforts to analyze telephone data, what we're talking about here is a program that currently contemplates the collection of all data just as a routine matter and the aggregation of all that data in one database. That causes concerns for a lot of people... There's a lot of potential for abuse.
The best thing is to go public only when you're absolutely sure that's the right move for the company. And in order to make sure that is the case, you need to have as much control over the company as possible, which means not giving up control early on.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
Related Authors
Ayn Rand Quotes
Russian
Writer
C. S. Lewis Quotes
British
Writer
Francois de La Rochefoucauld Quotes
French
Writer
Gilbert K. Chesterton Quotes
English
Writer
H. L. Mencken Quotes
American
Writer
Haruki Murakami Quotes
Japanese
Writer
Kurt Vonnegut Quotes
American
Writer
Leo Tolstoy Quotes
Russian
Writer
Mark Twain Quotes
American
Writer
Mason Cooley Quotes
American
Writer
Ray Bradbury Quotes
American
Writer
Samuel Johnson Quotes
English
Writer
Seth Godin Quotes
American
Writer
Sherrilyn Kenyon Quotes
American
Writer
Suzanne Collins Quotes
American
Writer