Sergey Savastiouk's Avatar
published in Blogs
Apr 16, 2019

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.

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

The five most important Lessons Learned After 10,000 hours of Trading

Ten thousand hours of active trading, broken down into forty-hour weeks, amounts to almost five years. Having surpassed that milestone myself, I now understand why it's significant for any trader's journey. The early years taught me valuable lessons that have shaped my approach to trading. It's a misconception that great traders are born with innate talent. The truth is that it takes years of...