Real Profits from 'Artificial Data'

A certain online tool is giving me a new appreciation for the power of data. You see, I routinely use Apple's (AAPL) Safari web browser to surf the Internet. And with the click of my mouse, I can see how many trackers tried to compile data on me, as well as how many Apple successfully […] You're receiving this email as part of your subscription to Michael Robinson’s Trend Trader Daily [Unsubscribe](. [Trend Trader Daily] Real Profits from 'Artificial Data' April 18, 2023 A certain online tool is giving me a new appreciation for the power of data. You see, I routinely use Apple's (AAPL) Safari web browser to surf the Internet. And with the click of my mouse, I can see how many trackers tried to compile data on me, as well as how many Apple successfully blocked. The results shocked me. Safari prevented the Wall Street Journal, a legitimate news website, from using 52 trackers. And Forbes had 60 of them blocked! This experience speaks volumes about the value companies place on data in our tech-centric economy... And perhaps surprisingly, there's a profitable type of data that few investors know much about. Let me tell you all about it, then explain how we can profit from it. > ADVERTISEMENT < The only money-making acronym you need to know for 2023 Soon, the acronym "PVAB" could be as commonplace as "ASAP" or "TGIF." But if you don't know it yet, you're not too late... By the time it fully rolls out, PVAB will have a bigger lasting impact on our society than the Internet. That's why some of the biggest names in the business – from Bill Gates to Jeff Bezos and Elon Musk – are pumping billions into it. To see how you can get massive returns from what could well be the biggest investment opportunity of this year, [click here now](. A Crash Course on Synthetic Data The type of data I'm referring to is called synthetic data. And it's set to play a huge role in the market for artificial intelligence ("AI"), a market that Fortune Business Insights says recently surpassed $387 billion. Don't worry if you've never heard of synthetic data before. As I mentioned, few have. In a nutshell, synthetic data is information that's artificially generated, rather than produced by real-world events. This type of data is a key component of almost every tech company's success. It's what's used to train machine-learning systems that run much of today's tech world... And without it, AI systems wouldn't be smart enough to be useful. It's no wonder this artificially created information is seeing so much growth. A study on the field by Gartner forecasted that as early as next year, 60% of all data used to create AI systems will be synthetic. Take a look... A Real-World Example To help you understand exactly what synthetic data is, imagine you had a company developing a new machine-learning system. Maybe you're trying to get a smartphone camera to identify human faces, or trying to get a car's dashboard camera to determine if a human is crossing the road. All you need is the training material to feed the AI so it can learn. Sounds easy, doesn't it? It's anything but... The trouble is that humans come in all shapes and sizes. That means the AI needs to be fed hundreds of millions of images of different people – those with different hairstyles, skin colors, glasses, wearing different clothes, in different poses, etc. That's how you make sure the model really understands what it looks like when a person is using their phone or crossing the road. Getting these images from the real world can be hugely expensive. And in most cases, there simply isn't enough footage for companies to use. That's where synthetic data comes in. With a combination of "big data" and AI, a computer can generate simulated versions of whatever visual images are required to train a given machine-learning system – a billion pictures of pedestrians about to cross a street, for example. Whatever they may be, these simulated images are essential to creating modern AI... And they're becoming essential in their use in a variety of industries... A Key Health Care Resource As you might imagine, synthetic data could be put to great use in health care, where there are hundreds of millions of patient records to sift through. But to make sure information about real patients doesn't get accessed, computer networks need to simulate health records instead. That's why one of America's largest for-profit health insurers is working with Google (GOOGL) to feed its massive AI system to spot fraud, improve patient outcomes, and improve profits. Despite its size, though, this insurer doesn't have enough different patient histories, billing records, or insurance claims to properly train its AI. That's both bad for the company, which could be losing money on fraudulent claims and billing errors, and patients who could be walking around with symptoms of rare disorders that no one spots. That's exactly why this company is partnering with Google. The search giant will be creating two petabytes (a petabyte is equal to 1 million gigabytes) worth of synthetic data, including simulated insurance claims and patient histories. That's an enormous amount of data, equal to roughly one trillion pages of text. More Use Cases This company already has AI algorithms that search for fraud and billing errors. But its system doesn't have enough information to really judge whether something is out of place. Tapping Google for synthetic data will greatly improve this system, just one example of how synthetic data gives AI and the companies that use it a huge advantage. As another example, consider the National Institutes of Health ("NIH"), which has a huge database of more than two million people that were screened for COVID-19, and 413,000 COVID-positive cases. This is a treasure trove of potential research, including who is most at risk of the virus, potential risk factors, and new treatments. Even the U.S. Census Bureau is getting in on the act. The agency's data on where different kinds of employees tend to live, where they're moving, and how veterans fare in the workplace all use synthetic data to show results that statistically match the real thing, but protect the identities and privacy of everyone who responded to the Census. An Unstoppable Trend Bottom line: Synthetic data is an unstoppable trend because it unlocks the benefits of access to millions of records without the risk of exposing personal information. And as investors, we can take advantage of this trend and position ourselves for major profits. How? As it happens, I'm bullish on the health care company I told you about, the one working with Google to spot fraud and improve patient outcomes. Interested in investing in it? Be sure to become a Trend Trader Pro member, where you'll learn about this investment opportunity and plenty more to come.   FOR TREND TRADER PRO READERS ONLY > [LEARN MORE]( < Cheers and Good Investing, [Michael Robinson] Michael Robinson Chief Investment Officer Trend Trader Daily   Copyright © Trend Trader Daily, All rights reserved. You signed up on []( Our mailing address is: Trend Trader Daily 1125 N. 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