5 Ways Data Science Changed Finance
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5 سال پیش
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Did data science change the finance industry? And if it did -- how? Well, of course, data science in finance changed the industry massively!
From informing banks how to give low risk credits to stock exchange through machine learning algorithms -- data science is reinventing finance! To learn more about all the other ways data science changed finance, though, watch this video!
Ever since its genesis, Data Science has helped transform many industries.
For decades financial analysts have relied on data to extract valuable insights, but the rise of Data Science and Machine Learning has brought upon a new era in the field. Now, more than ever, automated algorithms and complex analytical tools are being used hand-in-hand to get ahead of the curve.
So, let’s explore the 5 ways in which financial institutions use these methods to their advantage!
Number 5: Fraud Prevention
Fraud prevention is a part of financial security that deals with fraudulent activities, such as identity theft and credit card schemes. Abnormally high transactions from conservative spenders, or out of region purchases often signal credit card fraud. Whenever such are detected, the cards are usually automatically blocked, and a notification is sent out to the owner.
That way, banks can protect their clients, as well as themselves and even insurance companies, from huge financial losses in a short period of time. The opportunity costs far outweigh the small inconvenience of having to make a phone call or issue another card.
The role data science plays here comes in the form of random forests and other methods that determine whether there are sufficient factors to indicate suspicion.
Number 4: Anomaly Detection
Unlike Fraud Prevention, the goal here is to detect the problem, rather than prevent it. The reason is that we can’t classify an event “anomalous” as it happens but can only do so in the aftermath. The main application of this anomaly detection in finance comes in the form of catching illegal insider trading...
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🤝 Connect with us LinkedIn: LinkedIn: 365datascience
365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.
We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.
Check out our Data Science Career guides: How to Become a... (Data and AI Caree...
#datascience #finance #datascienceinfinance
👉🏻 Download Our Free Data Science Career Guide: https://bit.ly/2DZyX5M
Did data science change the finance industry? And if it did -- how? Well, of course, data science in finance changed the industry massively!
From informing banks how to give low risk credits to stock exchange through machine learning algorithms -- data science is reinventing finance! To learn more about all the other ways data science changed finance, though, watch this video!
Ever since its genesis, Data Science has helped transform many industries.
For decades financial analysts have relied on data to extract valuable insights, but the rise of Data Science and Machine Learning has brought upon a new era in the field. Now, more than ever, automated algorithms and complex analytical tools are being used hand-in-hand to get ahead of the curve.
So, let’s explore the 5 ways in which financial institutions use these methods to their advantage!
Number 5: Fraud Prevention
Fraud prevention is a part of financial security that deals with fraudulent activities, such as identity theft and credit card schemes. Abnormally high transactions from conservative spenders, or out of region purchases often signal credit card fraud. Whenever such are detected, the cards are usually automatically blocked, and a notification is sent out to the owner.
That way, banks can protect their clients, as well as themselves and even insurance companies, from huge financial losses in a short period of time. The opportunity costs far outweigh the small inconvenience of having to make a phone call or issue another card.
The role data science plays here comes in the form of random forests and other methods that determine whether there are sufficient factors to indicate suspicion.
Number 4: Anomaly Detection
Unlike Fraud Prevention, the goal here is to detect the problem, rather than prevent it. The reason is that we can’t classify an event “anomalous” as it happens but can only do so in the aftermath. The main application of this anomaly detection in finance comes in the form of catching illegal insider trading...
► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.seevid.ir/c/365DataScie...
► VISIT our website: https://bit.ly/365ds
🤝 Connect with us LinkedIn: LinkedIn: 365datascience
365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.
We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.
Check out our Data Science Career guides: How to Become a... (Data and AI Caree...
#datascience #finance #datascienceinfinance
5 سال پیش
در تاریخ 1398/11/02 منتشر شده
است.
59,029
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