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  • 5/13/2025
We are talking about Artificial Intelligence applications in finance. Let's review the current list of trends and what to expect from the industry.
▶ About this video:
How is AI applied in finance?
1. Automation
It enables organizations to boost productivity and cut operational costs. Statistics say that AI helps companies save up to 70% of the costs associated with repetitive tasks.

2. Credit Decisions
We once developed AI-based software that helps banks assess potential borrowers. It immediately analyzes countless factors thus saving costs and making the process much faster. Sounds exciting, doesn’t it?

3. Trading
AI-driven trading systems can analyze massive amounts of data much quicker. You won’t believe it, but predictions made by AI algorithms are more accurate because they can analyze a lot of historical data.

4. Risk Management
AI can handle risk management tasks much more efficiently and analyze various financial activities in real-time.

5. Fraud Prevention
AI-driven fraud detection tools can analyze clients’ behavior, track their locations, and determine their purchasing habits. Therefore, they can quickly detect any unusual activities.
6. Personalized Banking
AI-powered chatbots minimize the workload of the call centers.
There are also many apps that offer personalized financial advice so that users can achieve their financial goals, track regular expenses, income, and purchasing habits.

Category

🤖
Tech
Transcript
00:00Hello everybody and welcome to Tech in 5 Minutes.
00:03Today, we are talking about artificial intelligence applications in financial services.
00:09According to statistics, 32% of banks are already using AI.
00:14Watch this video till the end to find the current list of trends and what to expect
00:18from the industry to get ready for the future.
00:21On our channel, we share thoughts on recent developments in the tech industry.
00:25Subscribe not to miss new videos.
00:28So let's get started.
00:39How is AI applied in finance?
00:42First up, let's talk about automation.
00:44It enables organizations to boost productivity and cut operational costs.
00:49Statistics say that AI helps companies save up to 70% of the costs associated with repetitive
00:55tasks.
00:56The next point is credit decisions.
00:58We once developed AI-based software that helps banks access potential borrowers.
01:03It immediately analyzes countless factors, thus saving costs and making the process much
01:09faster.
01:10Sounds exciting, doesn't it?
01:12Then, let's mention trading.
01:14AI-driven trading systems can analyze massive amounts of data much quicker.
01:19You won't believe it, but predictions made by AI algorithms are much more accurate because
01:24they can analyze a lot of historical data.
01:26moreover, AI can analyze a specific investor's long-term and short-term goals to provide recommendations
01:33on the strongest portfolios.
01:36The next area is risk management.
01:38Actually, AI can handle risk management tasks much more efficiently and analyze various financial
01:44activities in real time.
01:46Then comes fraud prevention.
01:48AI-driven fraud detection tools can analyze clients' behavior, track their locations, and
01:53determine their purchasing habits.
01:55Therefore, they can quickly detect any unusual activities.
01:59AI-powered chatbots minimize the workload of the call centers.
02:07There are also many apps that offer personalized financial advice so that users can achieve their
02:11financial goals, track regular expenses, income, and purchasing habits.
02:17Do you think AI chatbots and personalized financial apps are helpful?
02:22Have you ever used them?
02:23Share your thoughts and experience under the video.
02:26In fact, well-known banks, including Bank of America, Wells Fargo, and Chase already own
02:32convenient mobile apps that remind users about bills, ensure timely and effective communication,
02:38and help users plan expenses.
02:41So according to our experience, the most common applications are robo-advice and customer recommendation
02:47apps, AML and fraud detection systems, chatbots, and algorithmic trading systems.
02:53By the way, are you lost in terms of machine learning, AI, and deep learning?
02:58We highly recommend checking out our comparison.
03:01The link is in the description.
03:03Wondering what to expect from the future?
03:05Here's our view on how AI will further transform the financial institutions.
03:10Let's review customer service.
03:12Conversational interfaces and chatbots are becoming more common.
03:16Companies like Casisto are already developing industry-specific software that makes the necessary
03:21calculations and evaluates budgets quickly.
03:25New Standards of Security Can you believe that passwords, usernames, and
03:29security questions may disappear in the next few years?
03:33Institutions are more likely to use AI-backed security solutions.
03:37Thanks to speech recognition and facial recognition and other biometric data, banks might add new
03:43layers of security or even replace traditional passwords.
03:47Recommendations Automated solutions for financial sales already exist, but not all of them involve
03:53machine learning.
03:55Virtual assistants can also provide personalized smart recommendations to help you choose insurance
03:59services, change your investment portfolio, etc.
04:03Artificial intelligence has already changed many industries forever, so it makes sense to
04:08expect a wider adoption of AI in finance.
04:11Now it's time to hit the like button.
04:13This video was prepared by the Jelvix team.
04:16We provide software development, UI UX design, QA, and testing services to top brands worldwide.
04:23Find our contact details in the description box.
04:34Thank you for watching this video.
04:36We share our experience and the latest insights of innovative tech, so make sure to subscribe
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04:43And don't forget to press the bell button.
04:45Bye for now!

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