How Will AI Take Forward the FinTech Industry in 2024?

AI/ML

Artificial intelligence in the FinTech industry is a topic that has created a big layer of curiosity around itself. The progress it has made over the past few years has left everyone either talking the whole day about it or speechless with amazement.

Today, let’s talk about how the FinTech industry has obtained a whole new outlook throughout the world with the help of artificial intelligence and machine learning. Are you ready to be enlightened?

What is the Role of Artificial Intelligence in the FinTech Industry?

The AI in FinTech market size is projected to grow to $31.71 billion in 2027 at a CAGR of 28.6%.

The best thing about artificial intelligence and machine learning is that they help industries conduct a more personalized approach toward their target audience as they have a better understanding of user behavior due to their advanced algorithms.

FinTech industries are availing the maximum advantage of AI’s advanced insights about consumer behavior and they seem to grow at a rapid pace.

Moreover, AI is especially useful in the FinTech industry for anticipating loan risks. For financial companies who are planning to broaden their businesses by expanding their services, machine learning is a major factor of contribution to their accomplishment.

As machine learning can majorly help FinTech companies with loan underwriting by alleviating financial risk. The best part is that AI helps companies detect fraud and helps companies be aware of anonymous or unauthorized access with its advanced methodologies.

Still, there are a lot more reasons apart from what we have stated above. Let’s learn in detail about all the other reasons for choosing artificial intelligence.

Top Reasons to Choose Artificial Intelligence for the FinTech Industry

The reasons to embrace artificial intelligence for the FinTech industry are quite a lot, here we have tried to state the most common reasons for AI that have majorly helped in financial industry growth and development:

1. Customization

With AI and ML methodologies, FinTech companies do not have to set up their plans manually. Its hyper-personalized financial instruments and investment plans are designed as per the target audience’s suitability with robust security.

As mentioned earlier, manual monotonous tasks have been totally eliminated after FinTech companies have actively adopted artificial intelligence for their business operations.

AI is an omnichannel approach that delivers personalized recommendations (based on the requirements of every single profile) after a detailed evaluation of data considering different parameters and it subsequently suggests the most suitable investment plan.

As these tedious tasks that were done earlier have now been fully automated with AI adoption, this has helped banks and financial institutions save ample time. Not just that, the ratio of failure in transactions or loan processes has now come to nil.

2. Major fall in operational costs and risk

AI is forming its place at a rapid speed, but still, certain tasks are performed by humans that also come up with chances of errors. While such errors take place, it calls for a great amount of time, effort, and costs to be put into fixing them.

But, since artificial intelligence has not left any limits of advancements already; one of its pillars’ is RPA (robotic process automation) which diligently imitates the process of tasks that are performed by humans to avoid unnecessary man-work, time, and costs.

3. Improved customer experience

Earlier, the banking sector was often satirized for its inefficient service delivery due to the lack of advanced technology involved in the FinTech industries. Banking industries were not able to cope with the demands and queries of their users, as they could not respond swiftly.

But the scenario is not quite the same any longer; AI has helped the FinTech industry flourish incredibly. Let’s talk about it in detail.

Talking about AI advancements, chatbots are one of the most supreme pillars of artificial intelligence. Especially, the FinTech industry has availed maximum advantage of AI chatbots; its success indicates that.

With AI chatbots, banks use it the most for conversational purposes. If any user tries to connect with banks for any query or issue, his/her issue is noted and he/she is given a suitable solution. These chatbots are available during peak hours, some chatbots are even available for 24 hours if they deal with users across the globe.

So, AI chatbots are just one of the best solutions that artificial intelligence has helped the world with. But, since chatbot is one of the most used technologies of the FinTech industry, we have highlighted the same.

4. Investment process has been automated

2023 is the year of embracing advanced technology as we have already come a long way and still see a long way to cross because the innovation of technology is ceaseless. Many banks have started adopting AI on an active note for streamlining their process of investment decisions and beefing up their investment banking research.

Not just that, there are many FinTech companies who have taken their advancement to the next level by launching robot advisers who can assist their users throughout. Robo-advisors are projected to manage $2.8 trillion in assets by 2023.

These robo-advisers are configured in such an advanced way that they are absolutely capable of offering meaningful pieces of advice to the users for the query they put in front of these robots.

5. Accurate results

We, humans, are prone to commit mistakes, and that is a universal fact. In the FinTech industry, there are innumerable monolithic tasks that consume a great amount of bandwidth, the results are nothing but some minor errors that affect the end results.

With artificial intelligence, the chances of errors possibly taking place, still if it is compared with the errors that are otherwise made, we will get to see a major difference; AI errors barely take place.

So, the end results are accurate with the usage of AI-based applications. Not only does an AI tool help you save ample time and effort, but it also provides you the flexibility to be more innovative. As of now, you have ample capacity left to widen your perspective for business growth which you used to put in monotonous tasks before.

6. AI Strong competitive intelligence

82% of traditional financial companies plan to expand fintech partnerships in the next 3 to 5 years.

The emergence of artificial intelligence changes the business landscape upside down across multiple domains, this seems incredible. With AI, conducting research, analysis, and competitive intelligence is quite an easy task. To make things more clear for you, competitive intelligence is the process of collecting and analyzing the data about your potential and present competition.

Challenges That FinTech Companies Face While Adopting AI in FinTech

Every coin has two sides. If we are willing to avail the advantageous side of artificial intelligence, then we will have to face the key challenges while adopting the same. Here we are stating below the common challenges that FinTech companies usually face:

1. Higher budgets

While businesses plan to adopt advanced technology, there is always an intrinsic constraint for mediocre FinTech companies. Though companies are determined to roll up their sleeves, the lack of sufficient budget interrupts them.

However, we have seen a ray of hope as the adoption of AI in the FinTech industry skyrockets. Having witnessed the market inclined towards AI, 86% of banks and insurance companies have planned to increase AI-related investment into technology by 2025.

So, all the FinTech companies that have taken the spunky move of adopting AI on a serious note for the advanced future, you have got the back of AI investment policy to scale up.

2. Inconsistent process of working

Lack of a determined approach could mislead the FinTech companies, as the kaleidoscopic pattern of working always affects the expected conclusion. So, if you are determined to embrace AI, you need to create a robust plan of approach after a solid consideration of thoughts that have flitted through your mind to create a realistic plan.

3. Inexperienced resources

The determination of FinTech companies is commendable when it comes to adopting AI into their businesses, but they fail to succeed due to the lack of experience of how to act towards artificial intelligence.

This leads businesses to face the repercussions of a lack of experienced resources. Research says that the main reason for how these attempts fizzled out is the lack of experienced talent in line with a long-term vision.

As a result, companies lack a proper framework for hiring and reskilling AI professionals due to the fact that talent strategies are viewed as an administrative hurdle rather than a strategic enabler.

4. AI is not 100% accepted

You must be thinking, what is wrong with us? Well, the world has witnessed an upswing in artificial intelligence adoption, but still, AI has not been accepted on the whole. And those who are against the concept of artificial intelligence are majorly the people who prefer to deal with people rather than AI-based chatbots or robots.

Human interaction is something that cannot be defeated regardless of the efficient chatbots available to communicate with clients. Certain users or clients find human interactions far more steadfast and reliable than AI-based chatbots. AI is a subjective concept. Those who consider AI a boon and those who consider AI a bane both have a logical perspective to share.

It all depends on how people perceive the concept of AI and its advantages and disadvantages.

Speaking of challenges, and different traits artificial intelligence has with respect to the perspective of the users, let’s talk about applications of AI in the FinTech industry to make things clearer for you all.

Applications of AI in the FinTech Industry

All this while we talked about the benefits and challenges of AI, let’s talk in detail about its common applications in the FinTech industry:

1. Data analysis and learning

Analysis of data through AI data mining tools helps FinTech companies gather multiple facets of facts and leads to data silos. Not only do AI and ML help businesses gather multiple facets of data, but also help ingest, analyze, clean, and archive the data by disclosing valuable information.

Moreover, manual data retrieval allows businesses to obtain incomplete and superfluous data that is still capable of offering a little amount of value.

Also, AI and machine learning can be used to forecast future trends by evaluating past pieces of information through predictive analytics. It helps businesses understand stock price predictions, revenue forecasting, and risk monitoring. Even though these predictive models do not help with accurate results, still businesses manage to create future-proof strategies to ensure a smooth process.

With AI, you can smoothly carry out data modeling, data governance, and data management to remove the troublesome likelihood of pitfalls.

2. Facial recognition for frictionless payment

Now, this is huge! Sir, Bill; Touché! We now understand why did you say AI is the big one! Receiving payments through facial recognition is quite an advanced technology. Though it has not been adopted globally, we have seen Chinese people embracing it to a great extent. 

Payment through facial recognition is greatly accepted in China in self-service restaurants like KFC or big stores.

It is all about the customer’s DNA, the system processes payments through DNA to get the data related to the client’s preferences then they are provided with recommendations related to their penchants, every time.

Now the question is, how is the process of facial recognition done?

Well, the process is pretty clear. This is computer vision-based technology in which the payment terminal recognizes the face of the customer and subsequently sends the template to the interpreting device that verifies if the template matches the original template from your bank.

This whole procedure takes a couple of seconds to reach fruition, the level of feasibility customers get through this is one level up, as there are no smart devices or payment cards involved to fulfill this activity.

3. Trading

Through quantitative, algorithmic, or high-frequency trading, businesses utilize AI to evaluate enormous data sets in real time. AI rapidly evaluates data and notifies you of stock alerts, allowing you time to take immediate action.

Hedge funds, mutual funds, and capital management companies use AI to follow equities that have sharp up or down trends in order to enter or exit positions.

4. Predictive modeling to maximize bank incomes

Predicting modeling is used to keep an hawed eye on the potential risks in a loan underwriting process and fraud detection. Well, many institutions also reach out for predictive modeling to take their sales to new heights by optimizing the efficiency of cross-selling.

The predictive models are configured in such a way that they can learn with existing or current customer behavior data to bring in even more viable and relevant cross-selling schemes for every single client and consumer.

Also, for betterment, detailed segmentation of the dataset, and market basket analysis, the predictive models do perform even well in terms of accuracy to boost sales.

The Brighter Future of AI in the FinTech Industry

We have been continually operating businesses with more advanced technology, and financial institutions are finding themselves in a war against malicious acts. The future for the Fintech Industry is to utilize this new technology not just to ease daily operations but to provide an elevated level of protection.

Having seen the world of malware activities getting stronger with the ratio of risk, fraud, and compliance, the financial sector requires FIs to stay current and competitive. Artificial Intelligence is the way to revolutionize the way banks and credit unions provide security to keep their customer’s assets and data safe.

The development of advancement is growing parallelly, let us explain how. The more  advanced the solutions have become, the more advanced the malicious acts have become. So, the aim of the FinTech industry is not to grow and embrace AI to improve customer experience and business landscape, the businesses have to bear in mind the factor of robust security for the same as well.

AI has shouldered up the responsibility and expectations of the world, especially the FinTech industry to scale businesses up in terms of advanced technology. So, we hope that now you all have got why the billionaires across the globe have stated wonder in their words for artificial intelligence.

How Has AI Transformed the FinTech Industry?

Over the past few decades, the banking industry has undergone a spectacular digital transformation. In light of security concerns, financial institutions are often associated with rigid structures and rigid approaches.

However, when viewed globally, the banking sector has made commendable progress in a short period of time. Nobody could predict that within two decades of the introduction of contactless payments, people would be able to pay for their groceries without any involvement of smartphones and cards. Or international transfers can come to fruition in a matter of seconds, with no central unit acting as an intermediary between the parties?

These are just a couple of questions raised out of wonder! There is a lot more that artificial intelligence and its subsets have done for the FinTech industry which you have already read above.

Top FinTech Businesses That Actively Promote AI

Finally, let’s learn about the organizations that have transformed their business overview by optimizing their business tactic with the help of artificial intelligence:

Personetics Technologies

Personetics is a self-driving finance platform designed specifically for banks that use artificial intelligence to anticipate a customer’s personalized banking needs.

Industries it Caters

  • Banking industry
  • Artificial Intelligence
  • Managerial finance
  • Financial technology
  • Personal finance
  • Finance
  • Information technology

Kasisto

KAI is Kasisto’s conversational AI platform that powers virtual assistants and bots on cell phones, web, messaging platforms, and voice-enabled devices. KAI creates intelligent conversations to resolve requests, provide a solution to the problems, and estimate demands of customers.

Industries it Caters

  • Financial Technology
  • Natural language processing
  • Chat Industry
  • Financial Services
  • Voicification

AppZen

AppZen is a San Jose, California-based company that helps its clientele and customers with an AI-based auditing platform for finance teams.

Industries it Caters

  • Financial Technology
  • Finance
  • Robotic Process Automation
  • Mapping
  • Audit
  • Cloud Computing
  • Enterprise Software
  • Office automation

So, these are the top 3 businesses that are majorly involved in working with AI-based strategies. Now that we have covered every important detail for you to enlighten about AI in FinTech thoroughly, we would like to let you know how we can be helpful for you if you have got AI on your mind.

How Can MindInventory Help You Win the World With AI?

If you have AI on your mind, then who better than MindInventory to help you uncover the path of success. We tell you how!

We are die-hard lovers of tech and innovation, speaking about the FinTech solutions, we have catered to many clients who have transformed notably and they have their flagship products and services available in the market to rock.

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FAQs on AI in FinTech

How AI is impacting FinTech?

*Improved Algorithmic Trading and Decision Making
Due to AI-powered decision-making, customers of FinTech companies are allowed to trade stocks and shares through intuitive smartphone apps. The latest AI tools can rapidly and accurately evaluate petabytes of data across dozens of dimensions.

What type of AI is used in finance?

Artificial intelligence (AI) and machine learning in finance contain everything from chatbot assistants to fraud detection and task automation. Most banks are aware of the potential benefits presented by AI.

Kumarpal Nagar
Written by Kumarpal Nagar

Kumapal Nagar is a Python team lead at MindInventory, a certified ethical hacker and proficient in AI/ML and cloud computing platforms, specialized in creating innovative, secure, scalable, and robust performing digital solutions using cutting-edge technologies. With his passion for always being up-to-date with AI/ML advancements and experimenting with AI/ML, he set up a proven track record of success in helping organizations leverage the power of AI/ML to drive meaningful results and create value for their customers.