Edward Flores's Avatar
Edward Flores
published in Blogs
Mar 06, 2021
Big Banks Learning to Love A.I.

Big Banks Learning to Love A.I.

While not historically associated with technological advances like other industries, the financial sector has come around to artificial intelligence for a variety of reasons. AI can quickly comb through massive amounts of data, making certain tasks that would previously have required extensive human labor. The result is something that any business can embrace – extensive cost savings, projected by Autonomous to be $1 trillion by 2030.

Fraud is extremely costly to banks – HSBC coughed up roughly $1.9 billion in 2012 following allegations of allowing cross-border money laundering from drug cartels, while ING paid $900 million in 2018 after admitting that criminals had used their accounts for similar purposes. AI could have helped detect the kind of behavior that would have been difficult for a human to pick up on in an ever-growing sea of transactions, creating valuable financial savings – not to mention a way to avoid a PR nightmare.

Additionally, AI can minimize false positive fraudulent transactions by automating decision-making about those transactions based on data, growing steadily more perceptive with the more information it analyzes. AI can mitigate human error that would have otherwise adverse effects on business – Amy Zirkle, a global payments expert with the Electronic Transaction Association, touted AI as a chance to be “two steps ahead” regarding security, allowing for “a healthy payments ecosystem, one that is viable, one that is sustainable, one that customers come to with trust and confidence.”

AI can also create the kind of personalized customer experience that engenders long-term loyalty (and increases profit). Its ability to aggregate data across banking systems, then intelligently derive insight from it allows for individually tailored, seamless experiences. Chuck Monroe of Wells Fargo Artificial Intelligence Enterprise Solutions explained to AZBigMedia that AI allows banks “to more efficiently analyze” the masses of data in their possession and “pull key insights, often in real-time, to deliver personalized guidance to customers in the moment, wherever they are.” This means banks can offer personal advice, anticipate customer needs, and “[offer] them something they value, to make their lives easier” – especially with customer service, where AI can ask big picture questions and free employees to handle situations better suited for human-to-human interaction.

By augmenting existing functions and processes with artificial intelligence, banks are becoming smarter and more efficient, making customers happy, and growing profits. Fraud, personalization, and customer support are just a few of the many areas that AI can help banks. The financial sector is learning to love AI, and both business and customer are better for it.

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 generate 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:

  • Finding stock patterns in the market
  • Finding trends in the stock market
  • Testing portfolios to see if they are well-diversified
  • Back-testing statistics to see how different stock patterns generated trading results
  • Making Predictions for price movements in the future, with “A.I. Rank” and level of confidence in the trade.                    
  • 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.

 

Related Tickers: IYF
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%.
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