What Are The Top 5 Use Cases of Generative AI in FinTech?

What Are The Top 5 Use Cases of Generative AI in FinTech

You are familiar with ChatGPT if you work in the FinTech sector. The internet has been inundated with it. Using Generative Adversarial Networks (GANs) algorithms, ChatGPT is a generative AI tool and training model that can forecast real-world data based on its learning dataset.

For example, generative AI models can be applied to various FinTech problems, such as asset management, credit scoring, and fraud prevention. The top five real-world applications of generative AI are covered in this article.

These illustrations will help you improve efficiency in your FinTech company by demonstrating how to apply generative AI. Continue reading!

The Top 5 Real-World Applications of Generative AI

Future possibilities for generative AI in FinTech are demonstrated by the following examples. They present countless opportunities for how AI technology will transform the operations of FinTech companies and the banking sector.

      PayPal - PayPal using Al to combat fraud

      Crediture uses Gen-Al for credit scoring.

      Bridgewater Associates (the world's largest hedge fund) uses Al.

      Cleo, a personal financing app, is making use of ChatGPT tech.

      FintechOS is a cloud-based platform that helps financial institutions manage their regulatory compliance and reporting requirements.

1. Using Generative AI to Identify and Prevent Fraud

According to Allied Market Research, generative AI in FinTech will be essential to the growth of the global fraud detection and prevention market, which was valued at $29.5 billion in 2022 and is projected to surpass $252 billion by 2032.

Training models can now examine vast volumes of transaction data and identify odd patterns that could indicate fraudulent transactions, thanks to the development of AI capabilities.

Furthermore, gen-AI can stop fraud by identifying odd user behavior and dubious data patterns.

Because generative AI is constantly learning from new data and patterns and adapting to its surroundings, it can minimize financial losses by staying ahead of potential threats. To speed up the tool's learning process, businesses can manually update the dataset of their generative AI technology.

All things considered, financial technology companies can use this technology to safeguard and prevent digital fraud against their customer service.

PayPal, for instance, uses AI to fight fraud.

PayPal employs generative artificial intelligence to detect trends and irregularities in user behavior. They are spotting fraudulent trends that indicate odd behavior.

PayPal gathers information from third parties, device information, and session analysis. The financial institution can create a comprehensive profile of users and transactions thanks to it.

It uses machine learning models to analyze device data, sessions, IP addresses, verification checks, and user behavior in order to ensure a safe and secure transaction.

Nowadays, almost all the leading brands are actively integrating GenAI into their products, and especially the software development services in the UK are reported to have faced an increasing user demand!

2. Using Generative AI to Assess Risk and Score Credit

FinTech companies are using AI with a lot of show and pomp regarding risk. Using generative AI to innovate credit scoring makes loan decisions more precise. Financial services organizations can use generative AI to examine transaction history, market trends, spending patterns, and other pertinent data in order to make more intelligent and better decisions.

Furthermore, credit scoring evaluation is a critical function of generative AI for FinTech. With its sophisticated algorithm, it can quickly and easily analyze customer data such as credit history, purchasing patterns, and individual income.

FinTech businesses can also use it to identify patterns, lessen biases, and determine an overall creditworthiness prediction for an individual.

For instance, Crediture uses Gen-AI to store credit.

Credit scoring and risk management procedures are generated by generative AI, according to Crediture, a well-known credit scoring platform. They used their vast financial data to train their systems to analyze a variety of topics, including industry trends, economic conditions, and more. The business is proficient at forecasting recessions, strange occurrences, bear markets, and unstable markets.

Additionally, they provide business borrowers with personalized loan options through the use of generative AI algorithms. These algorithms use Variational Auto-Encoders (VAE) to generate customized credit product recommendations based on a company's financial status.

3. Algorithmic Trading With Generative AI

Ordering automated and programmed trading instructions for price, time, and volume is known as algorithmic trading in the forex market.

According to research, 92% of all forex market trading in 2019 was attributed to algorithmic trading.

Making predictions about the future is possible by using generative artificial intelligence to examine market data trends and current market conditions. Additionally, you have the option to trade your financial products automatically and on the basis of algorithmic pattern recognition and data analysis.

For instance, the biggest hedge fund in the world, Bridgewater Associates, employs AI.

The world’s biggest hedge fund, Bridgewater Associates, had already adopted and used AI for a while when most companies were debating whether or not to use it. Following years of research, they discovered that AI and other large language models are capable of quickly analyzing data, validating hypotheses, and improving decision-making.

In an interview discussing the potential of ChatGPT and other artificial intelligence (AI) models, Bridgewater Associates co-chief information officer Greg Jason stated that gen-AI applications can improve efficiency, lower costs, and increase the accuracy of market predictions.

4. Personalized Financial Services Using Generative AI

77% of Americans feel anxious about their financial situations, and 58% said that their finances control their lives, according to a USA study involving over 1,000 participants.

Financial advice, including investment choices and financial planning, is now more precise and takes less time, thanks to generative AI. It can now make personalized investment plans for you, manage risks, make investment suggestions, and analyze expenses.

For example, generative AI can build investment portfolios based on an individual's goals and risk tolerance, and it can adjust recommendations as necessary. Financial institutions will also have the option to provide individualized services to their clients.

Example: ChatGPT technology is used by the personal finance app Cleo.

Your virtual financial assistant is Cleo. This AI app uses ChatGPT to assess your financial situation and provide recommendations for saving and budgeting. The app will instantly analyze your bank account after you link it, giving you real-time information and advice on how to make wise decisions.

Furthermore, Cleo uses natural language processing and gen-AI to respond to your financial questions within the app.

5. Using Generative AI for Reporting and Regulatory Compliance

FinTech organizations must abide by mandatory financial regulations in order to provide financial services. Fortunately, generative AI can assist you in maintaining compliance with financial regulations and minimizing the likelihood of regulatory violations.

Large financial and legal documents can be read by generative AI, which can also track real-time regulatory changes. By taking advantage of this, you can automate processes, reduce human error, adhere to crucial regulations, and stay out of trouble.

As an illustration, consider FintechOS, a cloud-based platform that assists financial institutions in handling their obligations for reporting and regulatory compliance.

FintechOS assists financial institutions and banks in implementing digital solutions. The company is concentrating on improving digital transformations with its low-code or no-code approach with its most recent update to FintechOS 22.

Additionally, they update their services frequently to comply with financial regulations. All things considered, FintechOS provides specialized services for different financial institutions while embracing regulatory changes.

Final Verdict

You now understand the top five ways that FinTech and generative AI collaborate. Artificial Intelligence (AI) can potentially revolutionize the financial services sector by improving security and personalizing services. You've only seen a small sample of what this state-of-the-art technology is capable of.

As this technology advances, more applications in the FinTech space will emerge. Businesses that adopt this technology will soon experience growth. Now is the perfect time to join the growing tech trend if you want to.

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