Sergey Savastiouk's Avatar
published in Blogs
Mar 03, 2021

Which Country Will Dominate A.I.?

2018 was the best year yet for artificial intelligence. The technology is enjoying unprecedented use and efficacy, spanning industries and devices, and even being introduced into people’s homes in ways that once seemed in the realm of fantasy. With AI and machine learning poised for even more growth in the coming years – a PricewaterhouseCoopers report predicts AI will contribute $15.7 trillion to the world economy by 2030 – it is of vital economic importance for government in advanced economies to embrace the industrialization of AI in order to remain competitive. Two countries lead the pack: The United States and China.

The US is a major player in AI – Forbes characterizes the country as “highly invested in AI and other emerging technologies,” especially on a research level. Between military commitments, like the Defense Advanced Research Projects Agency’s (DARPA) $2 billion investment in the AI Next program, and funding from organizations like the National Science Foundation (which contributes $100 million per year for AI research), the US remains poised to successfully innovate.

But academic research is only part of the equation. The actual industrialization of AI – the manufacturing side, and the implementation of the technology in various fields – could very well be dominated by China. After all, the country is already a leader “in factory machinery, electronics, infrastructure, and renewable energy,” lending it a distinct advantage in those departments.
China recognizes that AI leadership will have major repercussions on its economic future, and the government is committed to assisting however they can. The country maintains the benefit of “a productive synergy between government policies and market forces,” according to Kai-Fu Lee, a current venture capitalist and former AI research leader at Apple, Microsoft, Google China, and more. “The biggest role the government plays in China is through what I call a techno-utilitarian policy, which means letting technology companies have a try with as-yet-unproven technologies,” Lee told Bloomberg. “Let them try it in some limited way and then see what happens, and if it works, let them push the limits and go into even gray areas.”  

That recognition has enabled China to maximize their AI-centric innovations through their increasingly potent tech industry. Forbes points out that “the Chinese government plans to lead the world in AI by 2030, announcing more than $110bn worth of technology merger and acquisition deals since 2015,” – a lead they “[expect] to widen…by leveraging massively abundant data and rapid prototyping. The country’s growing internet economy generates vastly more data than any other country, leveraging speed, execution, and product quality, particularly through its fintech companies.”

The US – the land of Google, Facebook, Microsoft, Amazon, and other business giants – remains a dominant technological force. But it lacks a similar clear-cut leadership strategy and vision for its AI efforts. It’s a problem they will need to rectify in order to maintain their position as one of the world’s foremost countries in a tech-focused world.

If You’re Wondering When A.I. Will Start Making Market Predictions…

Guess what – it already is. Hedge funds and large institutional investors have been using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed A.I. on charts to discover patterns and trends. Not only can the A.I. scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generates trade ideas based on what it finds. Hedge funds have had a leg-up on the retail investor for some time now.

Not anymore. Tickeron has launched a new investment platform, and it is designed to give retail investors access to sophisticated AI for a multitude of functions:

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

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.
Sergey Savastiouk's Avatar
published in Blogs
Mar 15, 2023
The five most important Lessons Learned After 10,000 hours of Trading
Edward Flores's Avatar
published in Blogs
Mar 12, 2023
What's the Difference Between Tokens and Altcoins?

What's the Difference Between Tokens and Altcoins?

Between their inherently technical nature, multiple varieties and sub-varieties, and endless terminology, cryptocurrency (defined here as digital or virtual currencies that are encrypted using cryptography, powered by the immutable digital ledger known as the blockchain) represents a whole, complex world.All altcoins possess their own blockchain, independent from their source code, that records all transactions of their native coins. Many altcoins are variants, or forks, of Bitcoin that leverage that cryptocurrency’s open-source protocol as the basis.