Sergey Savastiouk's Avatar
published in Blogs
Feb 21, 2021

How to Tell the Difference Between Real and Fake A.I.

Artificial intelligence is here to stay. But as governments, companies, and people adapt to the reality of a world with AI, a revolutionary concept has been co-opted into a buzzword. AI as a sales tool has led to false claims and misinformation, making it difficult to parse facts about legitimate AI from the hype.

Here are some tips to help you tell the difference between real AI and fake AI.

AI is predicated on autonomy. It uses neural networks, machine learning, and other tools to create and run production models that not only simulate and predict outcomes, but act based on those predictions. Some analytics companies bill their services as AI-driven, but if a human is required to act on a recommendation made by AI, then it’s not real, independent AI. Useful AI removes the need for human intervention. Predictive technology alone is just that – predictive technology.

It is important to evaluate how much human input is required for an AI-driven platform. Human setup can (and should) be a part of each service – after all, someone needs to set the parameters that dictate AI’s behavior. But any platform requiring daily human operation or maintenance is not true AI. Services that necessitate lengthy training and consulting processes are not selling a truly automated experience.

Most companies offering legitimate AI products will contractually guarantee increased performance. Real AI operates at a level of efficiency that humans are not capable of, regardless of the task it is performing. Be wary of companies that cannot guarantee superior results relative to people or other products on the market. Insights alone are not a measure of useful AI – a service that does the work for you while also providing new levels of understanding is a legitimate AI product.

It is also vital to consider the transparency of the product in question. True AI tools will offer a window into the millions of tasks it performs – if actions are obscured or visible only to the company providing the service, chances are it is not useful AI. Paying for a service that could be a person and a tool performing the tasks that are billed as artificial intelligence defeats AI’s very purpose.

 

 

As more and more AI products and services hit the market, it will become increasingly important to identify real-deal offerings in a sea of pretenders. Real AI may be sculpted by humans, but it should perform at a level of efficiency – without any human input – that no human can approach.
 

Adding A.I. as a Tool in Your Investment Toolbox

One of the only certainties of investing in stocks, bonds, forex, cryptocurrency, or any other type of security is that there is no certainty when it comes to future price movements. Making an investment decision about a trade or a strategy can involve all the data and research in the world, but there still remains an element of chance, and ultimately, luck.

But that does not mean it’s a waste of time to perform diligent research and homework, and to use all of the tools at your disposal in an effort to make informed, smart decisions. More data generally leads to greater conviction, which can also also lead to a higher probability of success.

That’s where Artificial Intelligence comes in. It is a very new tool that until now has not been available on a broad basis to retail investors. The A.I. mentioned in this article can be found on Tickeron.com, and it offers investors a free trial. Tickeron’s idea is to provide retail investors with technology and tools to enable trading with massive amounts of data and analysis. The end result is arming retail investors with a high-powered, virtual research assistant: Tickeron’s Artificial Intelligence. Readers can check out the free trial here: Pattern Search Engine.

John Jacques's Avatar
published in Blogs
May 16, 2022
A.I. Stock Market Predictions: Head & Shoulders

A.I. Stock Market Predictions: Head & Shoulders

Statistics for the Head-and-Shoulders Bottom Pattern The days where only hedge funds used algorithms to trade stocks are officially over. Now retail investors can use Artificial Intelligence (A.I.  Here’s an example of the algorithm in action: Late last year, Tickeron’s A.I.
Edward Flores's Avatar
published in Blogs
Apr 29, 2022
How to Become the Millionaire Next Door

How to Become the Millionaire Next Door

The Golden Gate Bridge is always a fixture of these walks too, one of man's most beautiful creations.  As we were walking, at one point she turned to me and said, "Man, I'll never have a million dollars."" My girlfriend is 27 years old and works as a graphic designer, making about $75,000 a year.
Sergey Savastiouk's Avatar
published in Blogs
May 16, 2022
When Is the Next Recession Coming?

When Is the Next Recession Coming?

However, we also know that economists predicted 22 recessions out of 11 that took place since 1945. Are there real recession signs we should watch for?Indeed, the answer is yes, and here are a few very important ones: The first one is almost obvious and known to everyone – it is the Fed.
Sergey Savastiouk's Avatar
published in Blogs
Mar 14, 2023
How to Start Trading Penny Stocks

How to Start Trading Penny Stocks

Penny stocks have long been marginalized within the professional investment community, oftentimes being painted with a broad brush of simply being “too risky.” Leonardo DiCaprio’s depiction of the penny stock peddling conman, Jordan Belfort, in the Wolf of Wall Street certainly didn’t help.Here are four reasons to start trading them now. Reason #1: Let’s State the Obvious -- Penny Stocks are Cheap A single share of Apple Inc. costs over $350.
Dmitry Perepelkin's Avatar
published in Blogs
Mar 14, 2023
5 Habits that Lead to Successful Investing

5 Habits that Lead to Successful Investing

To consistently make money in this industry, you need emotional fortitude, an analytical mind, and a willingness to self-reflect. Despite trading and investing being two different activities, these principles can be applied to both.Conversely, investors with good habits often become great traders.  Rather than full sentences for titles, we’ve labeled each of our top-five investing habits using a single word principle.
Allana's Avatar
published in Blogs
Mar 23, 2023
What’s the Difference Between Data Analytics and Machine Learning?

What’s the Difference Between Data Analytics and Machine Learning?

Artificial intelligence (AI) technology is developing rapidly.Data mining can deliver raw numbers, but it does not necessarily provide actionable insights. Structure is necessary to taking abstract information and extracting commonalities, like averages, ratios, and percentages.
Sergey Savastiouk's Avatar
published in Blogs
Mar 13, 2023
4 Tips for Fast, Effective Stock Analysis

4 Tips for Fast, Effective Stock Analysis

With just a few clicks, an investor can search for individual stocks, categories of stocks, sectors, or investment themes, and then he or she can conduct a full range of technical and fundamental analysis within seconds.All powered by Artificial Intelligence.  Below, we give you 5 tips for fast, effective stock analysis using Tickeron’s Screener.
Sergey Savastiouk's Avatar
published in Blogs
Mar 20, 2023
5 Golden Principles in Investing

5 Golden Principles in Investing

You have enough faith in that stock, based on research, that the return will equal or exceed the investment.  Do unto others.The principles outlined here will ensure that happens.  Principle #1: Diversification Investors can’t be one-dimensional when constructing a portfolio.
John Jacques's Avatar
published in Blogs
Mar 24, 2023
If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

If Hedge Funds are Using AI to Invest, Why Shouldn’t You?

Some of the world’s biggest financial institutions have devoted multi-million dollar budgets to developing algorithms that can find patterns in the market, identify trends, and perform automated trading designed to take advantage of even the smallest price movements. The AI revolution is so big that as it stands today, the world’s five biggest hedge funds all use systems-based approaches to trade financial markets.Indeed, quantitative trading hedge funds now manage $918 billion (according to HFR), which amounts to 30% of the $3 trillion hedge fund industry – a percentage continues to grow with each year that passes.
Sergey Savastiouk's Avatar
published in Blogs
Mar 15, 2023
The five most important Lessons Learned After 10,000 hours of Trading