Sergey Savastiouk's Avatar
Sergey Savastiouk
published in Blogs
Apr 16, 2019
Is A.I. the Answer to Fix Facebook?

Is A.I. the Answer to Fix Facebook?

The past few years have not been kind to Facebook’s reputation. The social media giant has enjoyed impressive success – and its corresponding financial rewards – but recently has been embroiled in scandal. Whether under fire for privacy concerns, fake news, discrimination, or other indiscretions, Facebook is no longer receiving the benefit of the doubt from the public about its behavior.

Not helping matters has been its perceived slow progress tackling controversial issues – and the serious consequences that have resulted. Facebook is experiencing explosive growth around the world but seemingly lacks the resources to keep up when it comes to policing its content. The platform has, for example, been a breeding ground for anti-Rohingya propaganda in Myanmar, where the Muslim minority group has long been under fire in the country. Manufactured Facebook content stoked the flames for weeks-worth of government-approved mass murders, to the point that a United Nations report found the company to have “played a ‘determining role’ in the crisis.”

The open question is how Facebook will solve these issues at scale – massive growth demands proportional increases in manpower to oversee the ensuing content. But in a 2018 congressional hearing, Facebook CEO Mark Zuckerberg offered a decidedly non-human solution to reviewing content from 2.3 billion regular users: artificial intelligence. “Building AI tools is going to be the scalable way to identify and root out most of this harmful content,” he said. Wired reported chief technology officer Mike Schroepfer as saying AI “is the best tool to implement the policy – I actually don’t know what the alternative is.”

On paper, AI is an ideal solution. The company already employs algorithms to recognize and remove pornographic content – after all, asking humans to review every post is a daunting, expensive, and maybe impossible solution. But as Wired points out, “training software to reliably decode text is much more difficult than categorizing images.” Facebook needs AI that can not only detect hate speech, conspiracy theories, and more in “the shifting nuances of more than 100 different languages,” but does a good enough job that it can rely on its “roughly 15,000 human reviewers” to just catch the things that fall through the cracks.

Machine learning is good at “sorting images into categories,” and advances in quality mean “significant jumps in the accuracy of automatic translations.” But text and its nuances continue to present sizeable hurdles for AI. Context and tone are especially important with social media posts, lending additional layers of complexity, and as Wired notes, “today’s machine learning algorithms must be trained with narrow, specific data” – something Facebook tried to rectify with changes to the way its human moderators interact with content, in part to label data to train its algorithms.

Facebook’s AI moderation will need to improve before it can accurately interact with text at scale. But with significant strides becoming the norm in AI and machine learning, that day may be closer than it appears. AI is not yet the solution to the challenges facing Facebook, but there is a reason to believe it is part of a promising future.

The Investment and Financial Industry Faces the Same A.I.-Driven Revolution

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.

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%.