FINTECH, AI, AND ML-WHAT YOU NEED TO KNOW

AI and Machine Learning, among other types of technology in the world today has been of great influence across various industries including Fintech. These innovative technologies have made life easier and have gained more attention in the financial world. From investment to customer support, many fintech companies are already embracing these cutting-edge technologies to accelerate business operations. 

There are huge benefits and opportunities available for fintech companies that adopt both ML and AI in their processes. Artificial Intelligence claims to be machines that can think like humans and mimic their actions seem to be doing just that.  They provide fast and accurate solutions to data analysis, processing, and interpretation. It can also be trusted as it is unbiased in its operation like in trading securities and dealing with multi-million trade. 

ML is also making a great impact in the industry. It can help deal with enormous data and quantitative figures which minimizes human input. But that’s not all, here are other ways in which AI and ML is changing the fintech space. 

Customer Support

Automated services don’t always bring satisfaction to the customer and can be detrimental to customer service. Rather than an automated service, Artificial Intelligence can be used as it provides digital assistance and conversational interfaces. 

It can also help direct a customer to the exact department they are looking for.  AI can perform well-informed actions as it recognises pattern behaviour and can predict specific customer needs through chat history, contexts, and preferences. Any form of customer issues like their payment report or balance status can be easily addressed even faster and with accuracy that humans can beat.. as AI technology, recognizes pattern behavior and also understand and respond to a specific request.

Detection of Fraud and Security

In financial services, the security of client data is of utmost priority. The increased use of mobile banking app and other related services has resulted in increased fraudulent activities. To gain your customer trust as a financial provider the latest up-to-date technology must be put in place like cybersecurity measures. AI and machine learning can help recognize biometric data and detect any fraudulent activities.

Financial Robo Advisor

Robo advisors are taking fintech by storm. They are technological financial experts proffering solutions to complexities in financial decision-making. They can help to adjust the financial portfolio according to client risk and purpose. 

They are powered by machine learning to a wide array of financial services like trading, tax-loss collection, asset allocation, adjusting and rebalancing of a portfolio, and customer profiling. 

Moreover, several trading companies are making use of the Machine Learning algorithm for the purpose of trade predictions, strategy framework, market behavior analysis, and so on. 

As traditional algorithm systems are limited when it comes to adapting to immediate changes, the Machine Learning algorithm adapts to immediate changes as they have different optimization strategies. Strategies like linear regression, and deep learning have been incorporated into the trading tools.

Process Development

AI and ML in Fintech has been highly used in the area of process optimization/development. The importance of process optimization is to reduce the volume of manual work of the employee which has increased efficiency and productivity.

It has been incorporated in areas like a call center, paperwork optimization, and employee training. With the way technology is advancing at an accelerated pace,  more automated systems will be in effect such as big data analysis, report generation and much more. 

Scoring of Credit      

With the Machine Learning algorithm, credit scoring has been made easy as they give an analysis on whether the borrower will be able to pay back its credit. What Machine Learning does is to work on the data and complex calculation than its conventional model. With this, great decision-making can be made on loans.  

This means that loan lending to a risky client will be reduced and services can be accessed faster. Moreover, decision-making on the client getting a loan will be faster and easier. 

Final thought

Artificial Intelligence and Machine Learning has played a significant impact in the fintech industry. Undoubtedly, financial companies will experience a breakthrough in its operations if Machine Learning and Artificial Intelligence are embraced. 

With the increased innovation and advancement,  on AI and ML, better services per excellence have been offered to customers. It has also facilitated financial and banking operations helping them to gain a competitive advantage. Therefore, for a financial institution to stay afloat technologically,  AI and ML should be imbibed in their services to make their businesses stable and streamline.