How Artificial Intelligence Can Impact Fintech Sector?

The year of 2020 did bring many challenges in countries around the globe, and in various sectors. There was a major upheaval in the methods of spending money, and decline of human activity. For example, going to banks ATM for cash. But, when looking at the entire landscape in businesses, you can see little traces of positivity in the finance sector. This article will focus on the points of “How Artificial Intelligence can impact Fintech Sector?”

The individuals who shrugged the use of digital technology had no option but to switch to online banking to complete their daily tasks during the lockdown period. This was the period when technologies such as Artificial Intelligence and Machine Learning redefined the ways of working in Finance Industry.

Introduction

Technology and tools have always been a part of human life. Right from the day, our human ancestors invented fire & the wheel to the sophisticated gadgets of today, technology has influenced our daily lives to the fullest. And yes, now, programs and applications have become a part of our daily lives, which think and act better than humans. Hope you have got the clue? We are talking about Artificial Intelligence and Machine Learning.

There was a time when machines with human intelligence were the objects of fantasy movies such as Terminator in the 1980s. But after four decades, the fantasy has become a reality. When it comes to making use of AI by Fin tech companies, it is heartening to see finance industry moguls working with coders & software developers to develop applications.

Is AI reshaping the Finance Sector?

Yes, the year 2021 will see more of AI applications in various ways as never before. For example, it will be chatbots answering more of customer queries in banks and wealth institutions; AI will get used in fraud detection tools and verification of KYC documents. For wealth investment companies, the technology can help evaluate an individual’s investment opportunities, produce investment portfolios and reduce the risks involved in adapting new technologies. Let us look in detail at how Artificial Intelligence is assisting the Finance Sector in the following paragraphs:

A. Decision Making

Insurance companies and investment advisors, before introducing a new product or service into the market, can ask questions to AI platforms rather than customers. The platforms, laded with customer data and having the ability to analyse as well answer questions can give recommendations on filling the loopholes and doubts.

This will help the insurance agents/advisors get a clear view of customer expectations and decisions. They can then reframe the product or service to suit the customer’s needs.

B. AI Can Detect Online Frauds and Provide New Insights to Claims Management

The analytical tools used by banks to detect frauds have AI applications to monitor a costumer’s spending patterns and inform attempts of malpractices. It is impossible for a human to analyse a large quantity of data within the deadline and submit a report. But, AI because of its automation process can not only detect the errors but give the result within the specified time. There are some AI processes, which can modify themselves to detect new patterns in fraud detection cases. For Claims, insurance companies use a combination of AI and ML technologies. A classic example of Artificial Intelligence impacting the Finance Sector.

C. Automated Virtual Financial Assistants

Investment organizations have always modified their technologies to suit the recent trends. They are using automated virtual assistants to call new customers, have a pleasant conversation, inform them about the new products, the pros & cons, and finally entice them to do an investment. However, these machines also need information about an individual’s personal financial portfolio, so that they can sell the perfect bonds and stocks. Have you heard the new name given to these Virtual Financial Assistants? It is “ROBO ADVISORS”. These new applications are redefining the way AI will redefine the Fin Tech sector.

D. Security

Had anybody even imagined the success of E-Commerce industry before two decades? Maybe, only a few. Now, it is a billion dollar industry. With many E-commerce websites making use of Augmented Reality and Virtual Reality to garner more customers, industry experts are focusing more on online security. Yes, AI applications have definitely helped mankind. But it is also true hackers are using the same technology to break into e-commerce websites by making use of chatbots.

Phishing has attained international recognition within the last few years. You receive a call from a con man, and then get swindled of your hard-earned money. While this is a growing menace, banks have pulled up their socks to give the solution also with the same technology. They have installed AI applications on their servers to detect unfair spending activity, and if found, they can stop payments and send warning signals/messages to you as well the banks. By this method, banks all over the globe have saved hard-earned money of customers.

E. Chatbots for CRM

The month is June 2021, and time has flown fast, but still many companies have asked their employees to work from home. Now, the customer care industry has faced many challenges such as internet issues and less manpower. So, businesses saw a more prospective way of including AI chat bots in the CRM process. The recent CRM chat bots are highly developed and can adapt themselves to give answers of even complicated queries. Also, unlike the traditional methods, where IVR was the main option, now chat bots can answer customer calls directly, thereby ensuring brand loyalty and fast solutions.

F. Meets Compliance Guidelines

The world of cybercrime has made banks and financial institutions focus on factors such as KYC (Know Your Customer) documents. A simple change of mobile number or stalling of mobile connection can result in a phishing attempt. To quell this challenge, Governments in all countries have floated stringent procedures in investigation of KYC documents. But, it becomes difficult for an international bank or institution to verify millions of offline KYC documents. However, an AI application can scan many documents, detect errors and submit an accurate report within the deadline. This helps banks identify errors in a customer’s profile and take necessary action.

G. AI Can Interact With Customers on Another Platform

In 2020, Yes bank introduced the AI robot, LUIS (Language Understanding Intelligent Service) to answer nearly 10,000 queries on Whatsapp. You can use this service to check account balance, apply for products, and submit requests for cheque books.

In the future, banks may have an AI platform which acts in co-ordination with virtual assistants such as Alexa, Cortana and Siri.

H. AI and Search Engines

Are you surprised about the topic of Search Engines in this article? Yes? Then please note, millions are using Voice Assistants on their mobiles to open websites, do tasks and more. So, banks are hard pressed to change the content on their websites to long tail keywords or sentences which are used by customers in the globe. To be honest, many banks have already changed their web content to suit the terms used by customers to open their websites by voice commands on mobiles.

Future of Artificial Intelligence in Fintech Sector

As per industry experts, AI powered robots are expected to become the next customer care executives in banks. These robots may answer customer queries, guide them across various processes and bank forms, and are slated to reduce human work force numbers by 20 percent in 2027.

Fin Tech industry has always been at the forefront for including innovation and new technologies in their operations. And when it comes to using AI to better the processes and services, the results are there to see. The companies given below are only few examples of how Artificial Intelligence is helping the FinTech industry (companies & Finance Institutions) give the best service to customers.

Popular Artificial Intelligence Applications used in Finance Industry

1. IBM WATSON PLATFORM

This AI-platform offers solutions in Risks, Compliance and customer insights for investment companies. By making use of cognitive capabilities, this platform helps identify customer’s behaviour.

2. MICROSOFT CORTANA INTELLIGENCE SUITE

This AI-platform assists small-medium-big financial firms get information about financial crime & analyses data that are used to improve relationships with customers.

3. SALESFORCE EINSTEIN

This company helps financial advisors get information about a client’s financial status.

4. ZESTFINANCE (LOS ANGELES)

The company’s own platform, known as ZAML or Zest Automated Machine Learning, informs banks about a borrower’s credit history or information. It analyses thousands of data and then gives accurate results. In short, the platform helps detect customers who can face trouble paying back the loans. As per the company website, the platform has helped financial institutions reduce losses by 25 percent.

5. SCIENAPTIC SYSTEMS (NEW YORK CITY)

This underwriting platform, similar to ZestFinance, gives information on customers who apply for credit cards. They check the customer’s spending behaviour, interaction, and then offer transparent results.

6. ALPHASENSE (NYC)

Alphasense is an AI search engine used by Fortune 500 companies & investment banks. It makes use of NLP or natural language processing to check keyword searches with news channels, research papers, filings and online transactions to detect changes in financial markets.

7. KASISTO (nyc)

This company’s AI platform, KAI, is popular for improving experiences of customers by offering them options, solutions and recommendations regarding financial markets.

Conclusion

Hope the points given above have given valuable information for the question – How AI can impact fin tech industry? Please note, the fin tech as well the AI industry will be always on the ever-changing mode. Let us wait and watch!!

Source by Sathya Narayana