Edward Flores's Avatar
Edward Flores
published in Blogs
Feb 14, 2021
Will the IT Profession be Reshaped by AI?

Will the IT Profession be Reshaped by AI?

Artificial intelligence (AI) has been a staple of science-fiction stories for as long as the genre has existed. But in 2018, sci-fi is becoming a reality. AI is an area of computer science aiming to build software and hardware that replicates important human mental faculties, ultimately thinking and reacting like a human. Crucially, AI is designed to learn and evolve on its own, rather than strictly taking instructions like traditional software.

Experts agree that AI’s effects will be widely felt, regardless of industry. IT professionals, who will be interacting daily with the technology as they teach and maintain these programs, are on the front lines of developing and propelling the technology forward, and therefore stand to intimately witness the impact first hand. While it seems obvious that IT professions will impact AI, the less often asked question is: how will AI impact the IT profession and the job market at large?

AI and Jobs: A Bright Future?

Most fears about AI stem from automation – that the technology will render some jobs, like truck-driving, accounting, and vast swaths of the manufacturing sector, obsolete. While it is true that, for example, self-driving trucks will remove the need for truck drivers, multiple recent studies have found that AI is actually set to create more jobs than it eliminates. A study of automation in the UK from Deloitte, the prominent consulting firm, found that AI made 800,000 jobs obsolete, but created 3.5 million new ones, averaging $13,000 more in pay.

Many of the new jobs are in data, whose symbiotic relationship with AI has allowed both to grow in tandem. AI makes it feasible to gain valuable insights from massive amounts of raw data that would be too much for human analysis on its own. This, in turn, has created entirely new fields and jobs that no one would have imagined 10 years ago.

 

 

What Kind of Impact Can We Expect?

Experts agree that, while the world should prepare for wide-ranging economic, social, and societal consequences, there will likely be far more positive effects than the movie Terminator would lead you to believe. AI may be able to learn on its own, but it is not wholly autonomous. IT professionals will be responsible for programming the parameters of AI’s behavior, ensuring it completes its assigned (and, with the advent of AI ethicists, principled) functions.

A computer may have the potential to perform certain tasks, but it is limited by its operator’s ability – AI is no different. Each technician’s unique talents will be the keys to unlocking AI’s potential, giving companies the opportunity to innovate beyond using it for basic, automated tasks. Skilled IT workers will help companies maximize the technology’s positive benefits (for example, using AI’s strength for spotting patterns or trends to predict locations of disease outbreaks) and minimize dystopian-future-esque outcomes. Here at Tickeron, we have developed AI for similar purposes – to identify trends and patterns in the capital markets and to use historical and accumulated data to create probabilities of what might happen in the future. Our hope is that the technology can arm everyday investors with more data, which in our view means investing smarter.  

The ongoing development of AI applications will no doubt continue to inch towards center stage, and the global debate over how far AI can and should go will be a world-shaping one. IT professionals will be on the front lines of this evolution, and if there is to be a bright future for AI, IT professionals will play crucial role in making it so. 

Want to learn about working with AI to generate investment ideas? Learn more on tickeron.com.  

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%.