BFSI IT Summit

AI and Machine Learning

AI and Machine Learning in Financial Services.


In today’s digital era, The financial services industry is growing and transforming exponentially and this change is fueled by incorporating advanced technologies like Machine learning and AI in financial services. Across various sectors of financial services, about 75% of them incorporate the usage of at least one significant AI use case to accelerate their outcome. AI-enabled applications are empowering insurers, fin-techs, banking institutions to deliver top-notch services as well as increasing their market share.

In this blog we will dive into the contributions offered by Artificial Intelligence and Machine learning in the wide landscape of finance and analyze the capabilities as well as the benefits that they bring forth.

Following points helps you to learn about AI’s Impact on Finance

1. Better and improved Financial Surveillance

Financial monitoring or financial services are vital for every organization to prevent fraudulent activities from occurring. By leveraging AI and Machine Learning algorithms, financial data can be systematically collected and examined, preventing money laundering activities by detecting frauds.

This enables financial institutions to ensure adherence to rules and regulations and thrive in their respective sectors.

2. Provides Top-notch Financial Advisory service

Many people are indulging in passive investment today, and this very interest of people has made fin-tech companies invest in AI solutions. What sets Robo-advisory apart is its ability to provide useful suggestions and tips based on the preferences of the investors. AI automates the entire investment process, so the only thing the investors have to be concerned about is depositing money into the account.

This is a major advantage for those who are not proficient in handling investment activities on their own. So if you’re someone who wishes to excel in passive investment without having the thorough knowledge of financial analysis, then this AI use case is here to make your investment process seamless and easy.

3. Enables Risk Management

By using machine learning and AI in financial services, the risk levels involved can be minimized by examining extensive data sets from multiple sources. Machine learning tools can get access to data sources during assessment of loan applicants and their creditworthiness.

As a result, Companies can get insights to make relevant adjustments in the loan terms by predicting the customers who are at a higher risk of loan default.

4. Compliance with Rules and Regulations

The biggest obligation of a financial institution is to follow the rules and regulations that govern the financial processes. If a bank specialist omits a detail in the reports, it may result in minor issues or even cause severe consequences. But with AI’s intervention, data sets are accurately examined by taking into account the different rules and regulations.  

5. Drives Process Automation

Automation in financial activities is proved to reduce tedious tasks which are usually done manually by employees in financial sectors. Tasks that involve document preparation and examination of client information can be accomplished in a matter of seconds with the help of AI automation.


In conclusion, Machine learning and AI-enabled applications have had far-reaching positive impact on the financial service sectors. By exploiting the power of data and algorithms, AI and machine learning assist in improving risk management, fraud detection, compliance of rules and regulations.

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