This Massive Trend Is About to Change Your Everyday Life...
Companies / Investing 2015 Jun 06, 2015 - 12:20 PM GMTPaul Mampilly writes: Imagine walking into a restaurant and the waiter already knows what you're going to order...
Or walking into a Starbucks and your pumpkin-spice latte is waiting for you already... Or shopping for a new pair of pants online and the website shows you only the items in your size with the colors and styles you like.
The world I'm describing is custom-made for you. And it isn't science fiction. It's all part of an emerging trend called "Big Data," which allows for the storage of incredible amounts of data on computers... like what songs you're listening to, what stores you shop in, and more.
Over time, this huge amount of data can accurately predict behavior in things, like what consumers are interested in buying. And when you can predict these things, you can anticipate customers' needs before they even know them.
Here's how it works...
Information scientists create programs and algorithms to crawl through data around the clock with the intention of figuring out your preferences. Over time – and with more data – these programs and algorithms learn more about you and what you like. One day soon, you'll be able to automate your decisions... including what to eat and drink, what clothes to wear, and what you'll do on the weekend.
We can see early signs of Big Data already. When you browse the Internet, you see ads tailored to things you have searched for or purchased. Imagine that type of experience in the world around us... Soon, your decisions will be made for you. That's the future I envision. And if I'm right, it means certain companies will be making billions of dollars off it.
Companies investing heavily in Big Data include well-known blue-chip companies like IBM, which has a product called Watson. Watson is a computer that uses Big Data to answer questions. IBM has already signed a deal to integrate Watson with Apple's new smart watch.
One industry set to benefit greatly from the growth of Big Data (and Watson) is health care...
In 2013, the U.S. spent $2.9 trillion on health care... nearly $10,000 per person. Research suggests that as much as one-third of that spending is wasteful and, worse, potentially harmful to patients.
Sure enough, IBM is collaborating with health care giant Johnson & Johnson's knee- and hip-implant division. And IBM is working with Medtronic to connect heart devices, diabetes pumps, and other medical devices. I could go on...
But the big question is: "How do we profit?"
You could buy shares of IBM to gain exposure to this long-term megatrend. But I prefer the idea of speculating through smaller companies like Splunk, Tableau Software, Infoblox, and Neustar, which are working to create cutting-edge applications using Big Data.
Even among professional investors, these early stage businesses are typically viewed as risky bets. But if you know what you're doing, you can eliminate much of your risk (as I discussed in this essay)... and set yourself up for hundreds-of-percent returns.
Whichever strategy suits you, the Big Data trend is going to change your life... and soon. Don't miss out.
Speculate profitably,
Paul Mampilly
Editor's note: "Big Data" is just one of the important technology trends that could revolutionize our day-to-day lives over the next 10 years... and make a fortune for early investors. Paul will be covering them all in his Professional Speculator service, and no one is more qualified to do so...
Since 2008, Paul has more than quadrupled his net worth through trades on trends like these... enough to retire at age 45... all with a simple strategy he has developed. We are thrilled he has joined Stansberry Research to show subscribers how it works. You can learn more about a subscription to the Professional Speculator right here.
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Disclaimer: The above is a matter of opinion provided for general information purposes only and is not intended as investment advice. Information and analysis above are derived from sources and utilising methods believed to be reliable, but we cannot accept responsibility for any losses you may incur as a result of this analysis. Individuals should consult with their personal financial advisors.
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