John Jacques's Avatar
John Jacques
published in Blogs
Feb 09, 2021
These Professions Could See Big Benefits from AI

These Professions Could See Big Benefits from AI

As Artificial Intelligence becomes more mainstream and applications spread to more businesses and areas of business, there is a mounting fear that jobs will be destroyed in the process. This mindset causes many to resist the idea of AI’s rise, but it shouldn’t – it’s possible, perhaps even likely, that AI will actually create jobs on net.

Indeed, a recent report by Gartner indicated that while AI could eliminate 1.8 million jobs, it may also create 2.3 million jobs in the process. That’s a net job creation of 500,000 jobs.

The restructuring of the ‘modern,’ AI-driven economy could be messy. It will almost certainly not result in those net 500,000 arriving immediately, and it may take years to develop a workforce with an entirely new set of skills. But for those who are game and willing to learn, the future is bright.

In the immediate future, there are four professions in particular that could see an immediate and voluminous boost, as more companies adopt AI and as it envelops more aspects of the economy more quickly. Here they are:

1) Data Scientists — these are the people who analyze data to help companies work more efficiently and make smarter business decisions. In the past, data scientists had to manually analyze huge data sets to arrive at conclusions, but now AI can do much of the heavy lifting for them. But the AI cannot necessarily arrive at the action items businesses should take once the data is analyzed – a data scientist can. This profession is essentially part mathematician, part computer scientist, and part visionary. For data scientists, AI is like having an assistant on steroids. According to IBM, demand for data scientists could soar by 28% by 2020, with annual demand for new data scientists hitting 700,000 per year.

2) Data Labeling Professionals — if there is a “blue collar” job that could emerge from the revolution in AI, it could be in the field of data labeling. These people are needed to take raw data, clean it up, and organize it before feeding it to the machines. This allows businesses to train the AI to perform new tasks.

3) AI/Machine Learning Engineers — these are experts in computer science who generally have strong coding abilities. 10 years ago, these computer scientists would generally just find work in the field of academia, but oh how things have changed over the last few years. Now, with every type of industry looking to integrate AI into business functions, this is one of the more highly sought after professions in the field. Going forward this is not likely to change.

 

 

4) AI Hardware Specialists — much like data labeling professionals, this profession may also be considered a “blue collar” job in the AI field. There is surging demand for the hardware that powers AI, such as GPU chips and hardware architecture that mirrors the design of neural networks. This could lead to a revolution in the ailing manufacturing industry, with a pivot to high tech manufacturing.

AI is likely to result in new industries, sales opportunities, and efficient production systems that will allow companies to scale and contain costs like never before. This will actually help create jobs in the long run, even though in the short run it could destroy many in its path. For new workers entering the workforce, it is more essential than ever to have technical training in computer science and technology to be equipped to find success in the new economy. Changes are happening fast.

Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 07, 2021
4 Tricks Hedge Funds Use to Get Ahead

4 Tricks Hedge Funds Use to Get Ahead

If the stock market were Major League Baseball, hedge funds and institutional investors would be the pros on championship teams while everyday self-directed investors (SDIs) are the benchwarmers in the minors.It’s how they get ahead, and it’s why 90% of SDIs lose money trying to play (invest and trade) in the major leagues. The 4 tricks we discuss below are rooted in one common theme: they all use Artificial Intelligence and algorithms to generate data and ideas.
John Jacques's Avatar
John Jacques
published in Blogs
Mar 22, 2018
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.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Jul 10, 2020
3 Stocks to Buy if Coronavirus Second Wave Hits

3 Stocks to Buy if Coronavirus Second Wave Hits

By analyzing market trends from the first wave, you can predict behavior for the second. Technology stocks have performed at historic levels this year, but the market is severely overbought.To compensate for that, look at performance during Q1 and Q2, the height of global Covid shutdowns.
Edward Flores's Avatar
Edward Flores
published in Blogs
Feb 06, 2021
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.
Alla Petriaieva's Avatar
Alla Petriaieva
published in Blogs
Feb 23, 2021
Is Ethereum’s Bomb about to Explode?

Is Ethereum’s Bomb about to Explode?

Ethereum’s software is set for an update in October.Until it is finished, participants in the Ethereum blockchain must determine how to delay the difficulty bomb – code that necessitates a steadily increasing amount of computer power to mine blocks and unlock rewards – that is already in place.
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Aug 07, 2018
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.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 22, 2020
Central banks have been buying $2.4 billion in assets every hour for the past two months

Central banks have been buying $2.4 billion in assets every hour for the past two months

Some $17.8 billion has been poured into  bond markets over the past week, the biggest move in more than three months.Around $3.5 billion has been invested into gold, the second largest on record. 
Rick Pendergraft's Avatar
Rick Pendergraft
published in Blogs
Feb 07, 2021
Mid-January Short Interest Report Shows 8 Stocks with Good Fundamentals and High Short Interest
Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Mar 10, 2021
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.
Abhoy Sarkar's Avatar
Abhoy Sarkar
published in Blogs
May 08, 2020
US unemployment rate jumps to 14.7%, the highest in series history

US unemployment rate jumps to 14.7%, the highest in series history

The U.S. economy’s employment fell by -20.5 million in April. The coronavirus crisis led to unemployment rate soaring to 14.7% in the U.S, the highest rate in the Bureau of Labor Statistics-tracked series history that goes back to 1948. However, the figures were better compared to several economists'/analysts' forecasts of 22 million job losses and 16% unemployment rate.  Another unemployment measure that includes those who have stopped looking for work as well as those holding part-time jobs for economic reasons also touched an all-time high of 22.8%.