Katrina Lake Quotes

There is a calculus, it turns out, for mastering our subconscious urges. For companies like Target, the exhaustive rendering of our conscious and unconscious patterns into data sets and algorithms has revolutionized what they know about us and, therefore, how precisely they can sell.

Direct Marketing

Companies are accumulating vast amounts of information about your likes and dislikes. But they are doing this not only because you're interesting. The more they know, the more money they can make.

In the future, the best retail sites will know you much better and show you things that are much more relevant.

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.

It's difficult to imagine the power that you're going to have when so many different sorts of data are available.

Any enterprise that is serious about experiencing the power of Big Data in real-time should be looking at DataTorrent.

Marketers use big data profiling to predict who is about to get pregnant, who is likely to buy a new car, and who is about to change sexual orientations. That's how they know what ads to send to whom. The NSA, meanwhile, wants to know who is likely to commit an act of terrorism - and for this, they need us.

The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.

Forget artificial intelligence - in the brave new world of big data, it's artificial idiocy we should be looking out for.

My laptop seems to know where I am, even if I don't. My cellphone asks me if I want directions to anywhere from the spot I am standing in. I buy a record online and Amazon.com sends me letters, telling me that people who bought what I bought also bought these other records.

In the Internet economy, information is everything: The more a company knows about a consumer, the more carefully it can tailor its advertising to that customer, and the more revenue it can generate in return.

Through our effective campaign-management strategies, we're seizing opportunities to capture additional insights on customer behaviors, allowing us to reach and communicate with them more effectively.

If I'm reading my Facebook feed, it's using algorithms, procedures, and methods to give me what I want, or what it thinks that I want, or what suits its business plan.

Lists that segment people into clearly-defined categories are particularly valuable to direct marketers, which can tailor their sales pitch to a particular demographic and, therefore, increase the likelihood of making a sale.

What's so bad about Google knowing I need Kleenex? Look at it in the aggregate - see how information... can be used to target people based on their profiles and change the course of human history, as I believe it is already beginning to do. This knowledge that I need Kleenex has bigger complications than just needing Kleenex.

Ideally, Facebook would take all our clicks and information and would magically give us everything we want, without us even knowing we want it.

I wonder which is ultimately more creepy: shopping at Amazon or using Facebook?

Big Data is neither color-blind nor gender-blind. We can see how it is used in marketing to segment people.

People are building apps that are doing super-crazy things, and there's a lot of talk about modeling and microtargeting. Facebook can predict when people are going to break up, and Target is able to predict if a woman is pregnant before she knows just based on the type of lotion she bought.

We use nearly 5 thousand different data points about you to craft and target a message. The data points are not just a representative model of you. The data points are about you, specifically.

Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within eighteen months, or risk being left in the dust.

Thanks to the digital and big data revolution, we can start to do what was previously unthinkable - to improve patient outcomes and lower healthcare costs while delivering personalized care to each individual.

Technologies like Ayasdi's exist now to automatically discover information from data without having someone making guesses up front.

By now, we all know that our every move online can be tracked and traced, and that, ideally, services learn from and adapt to customers based on an artful deployment of that data.