A Quote by Hilary Mason

I hope that, in the future, data is used to empower people and not just for marketing purposes. — © Hilary Mason
I hope that, in the future, data is used to empower people and not just for marketing purposes.
If you take all the marketing books in the world and distill them, the key to marketing is hope. People buy hope, the hope that you will help them solve a problem or achieve a goal.
Big Data is neither color-blind nor gender-blind. We can see how it is used in marketing to segment people.
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.
The future of marketing belongs to honest information, accurate data and clear claims based on truth.
Marketing by interrupting people isn’t cost-effective anymore. You can’t afford to seek out people and send them unwanted marketing messages, in large groups, and hope that some will send you money. Instead, the future belongs to marketers who establish a foundation and process where interested people can market to each other. Ignite consumer networks and then get out of the way and let them talk.
Scientific data are not taken for museum purposes; they are taken as a basis for doing something. If nothing is to be done with the data, then there is no use in collecting any. The ultimate purpose of taking data is to provide a basis for action or a recommendation for action. The step intermediate between the collection of data and the action is prediction.
The future of marketing isn't big data, it's big understanding.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
You can't blame science for being used for evil purposes. What you can do is say, 'This is an exceedingly powerful tool.' And you want to make sure it is used for good purposes, not bad ones. That is a political decision.
Artificial intelligence is just a new tool, one that can be used for good and for bad purposes and one that comes with new dangers and downsides as well. We know already that although machine learning has huge potential, data sets with ingrained biases will produce biased results - garbage in, garbage out.
I hope that by going to visit the pope I have enabled everybody to see that the words Catholic and Protestant, as ordinarily used, are completely out of date. They are almost always used now purely for propaganda purposes. That is why so much trouble is caused by them.
It's so cheap to store all data. It's cheaper to keep it than to delete it. And that means people will change their behavior because they know anything they say online can be used against them in the future.
TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue.
People should have to opt in for any kind of data sharing, and they should know what the data is being used for.
Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.
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