The Leading FinTech Trends Nowadays
The Leading FinTech Trends Nowadays

In the world today, new technology arises every day, and the landscape of FinTech has not been left behind. Technology is implemented across the field in a mainstream manner with each new trend generating various levels of impact in FinTech. The biggest trends have elicited the biggest impact in FinTech with more and more enterprises everyday implying the use of these trends in a bid to gain a competitive edge in the FinTech industry. The trends are tailored towards the needs of a particular firm about the services and products it offers to their clients or customers.

Artificial intelligence and machine learning

Artificial intelligence and machine learning research and implementation have grown exponentially in the last few years. The two concepts have been a driving force in the technology world, and FinTech industry has not been left behind in its implementation today. Artificial intelligence has been primarily used in the detection and prevention of fraudulent practices even before people detect them. The artificial intelligence and machine learning systems have been tailored to use the numerous compliance regulations to detect any fraud with transactions that have been carried out. The artificial intelligence and machine learning concepts have also been the main tool used in the creation of chatbots that are used to satisfy customers or clients with simple problems that they may be facing. The chatbots answer customer queries with great speed and accuracy ensuring maximum satisfaction. In the management of wealth, Artificial intelligence can be used in the creation of marketing scenarios and removal of other forms of bias when making decisions on investments. Artificial intelligence and machine learning will continue to grow in use and importance in the coming years.


Another major trend in the FinTech industry is the use of APIs in the process of building systems and applications that are used. Application Programming Interfaces (APIs) are used to curb the economic challenges that are affecting the industry as a whole. Many of the FinTech startups have managed to surpass the banking industry due to the use of APIs in their mobile applications that make sure that the transactions for the customers are quick, safe and accurate. The use of Application Programming Interfaces, the small businesses in the FinTech industry can come up with better innovations with speeds and agility than the less flexible big financial institutions and bans. In fact, the trend has led to banks and other large financial institutions being forced to the creation of similar mobile applications to make sure that they can negate the competitive edge that startups had. It is important to note that the utilization of APIs for the banks will make sure they become dominant simply because of the amount of data they have collected over the years.


The blockchain is one of the leading discoveries in technology in recent times. The use of distributed ledge technology has managed to ensure the safety of transactions in business. Large financial institutions have been forced to collaborate with various consortiums in a bid to rebuild infrastructure that is based on blockchain technology. Blockchain technology has been effective in reducing various inefficiencies in transactions in the FinTech industry such as trade Finance platforms, cross-border payments as well as digital identification. The major inefficiencies have been reduced due to the increased security and transparency with the blockchain technology. The distributed ledger technology has the capability of removing the various intermediaries in the business processes in the FinTech industry, creating various innovative interconnections while streamlining the exchange of value in the business ecosystem that FinTech industries are part of.

Human Digital Interfaces

In the today’s business ecosystem, many consumers cannot go a full day without access and use of various digital devices. Mobile technology has been integrated into various businesses in a bid to keep up with all the consumers. Different customers are resolving to use voice commands, retinal scans as well as facial recognition among other biometric markers instead of passwords or Personal Identification Numbers. Technology is evolving in such a way that people can easily interact with their devices. Such concepts are slowly being implemented in the FinTech industry to lessen the burden of actions by the customers in the FinTech industry.

Quantum Computing

Quantum computing is the next step after the traditional computing. Traditional computing focusses on the use of binary representation (0s and 1s) which is limiting regarding processing. With quantum computing, the computers or computing devices can perform functions beyond the limitation of only two states of ‘on’ or ‘off.’ Quantum computing will enable businesses in the FinTech industry to store and perform massive amounts businesses transactions and data while using less energy. The FinTech industry is currently working on using quantum computing together with Artificial intelligence and machine learning in generating even more detailed risk profiles thus increasing maximum investments in various ventures.

The FinTech industry continues to be a world leader regarding innovation. The application of new technology in real-world applications in the FinTech industry will continue as the service providers seek to maximize their profits and increase convenience in the industry for both them and the customers.

Latest Articles

June 14, 2023
VisionPro on the Horizon: Why MR App Development Doesn’t Sleep

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How Game Developers Can Utilize ChatGPT in Practical Ways
April 20, 2023
From Idea to Implementation: How Game Developers Can Utilize ChatGPT in Practical Ways

Brief overview of ChatGPT and its potential uses in game development ChatGPT (Generative Pre-trained Transformer) is an artificial intelligence language model that has been pre-trained on a massive amount of text data. It is capable of generating human-like language and can be used for a variety of natural language processing tasks, including text completion, summarization, and translation. In game development, ChatGPT can be a valuable tool for generating code and providing suggestions or prompts for developers. By inputting a description of a desired game feature or behavior, ChatGPT can generate code that can help developers save time and improve the quality of their work. For example, ChatGPT could be used to generate code for complex AI behaviors, physics simulations, or other game mechanics. It can also be used to suggest improvements or optimizations to existing code. While ChatGPT is not a replacement for skilled game developers, it can be a valuable tool to help streamline the development process and allow developers to focus on the creative aspects of game development. As AI and machine learning continue to advance, it’s likely that ChatGPT and other similar tools will become increasingly important in game development and other fields. Introduction to the specific task of creating floating stones that change speed based on the player’s distance In an existing game, I was tasked with implementing a group of floating stones that would change behavior as the player moved closer to them. In their idle state, the stones should float smoothly and slowly, but as the player approaches, they should start to jitter more and more. This required creating a class, implementing dependencies, and other code that couldn’t be achieved through animator controllers or libraries. While this wasn’t a “nightmare” level task, it was still time-consuming. ChatGPT proved to be a useful tool for generating code snippets and saving time in the development process. Explanation of how ChatGPT can be used to generate code for game development tasks When working with ChatGPT, it’s important to start with the right context. In my case, I began with a promo message about the technology I planned to use. It’s important to keep in mind that ChatGPT is just a tool and won’t generate ideas or code on its own. You need to provide clear and detailed input for the best results. That said, ChatGPT can be a real-time-saver. When using the tool, it’s essential to provide a detailed description of what you’re trying to achieve. The more information you provide, the better the output will be. It’s important to note that using ChatGPT should take less time than achieving the same result without it. So, don’t be afraid to put in the effort to provide a detailed description. With ChatGPT, you can streamline your development process and focus on other aspects of your project. Example prompts and code snippets used to generate the necessary code for this task Let’s dive into the practical use of ChatGPT. As I mentioned earlier, I started by providing context about my game engine and coding language. I want to ask you to help us create some code for my game based on Unity SDK, C# code language. ChatGPT responded kindly, and I moved on to the next step — providing a detailed description of the task and its conditions. A few words about the context of the task. In the game, players can find floating stones. These stones have random directions of jittering, but this jittering is very smooth. If the player appears within around 10 meters of the stone, the jittering speed becomes faster and the speed depends on the player’s distance to the stone (more if closer). As a result, ChatGPT provided me with a basic realization of the class I needed to implement. While the code wasn’t perfect, it covered around 80% of what I needed to do. using UnityEngine; public class FloatingStone : MonoBehaviour { public float maxSpeed = 1f; public float minDistance = 10f; private Vector3 initialPosition; private float initialSpeed; private bool isPlayerNearby; private void Start() { initialPosition = transform.position; initialSpeed = Random.Range(0.2f, 0.5f); } private void Update() { float speed = isPlayerNearby ? 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I then asked ChatGPT to use my updated code version and add jittering rotation to the object based on the same conditions. After this step, I received the final version of the code that I could use in my project. I made some minor changes on my end, and in the last step, I asked ChatGPT to add XML comments to the final class and received the desired result. 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Colorblind-friendly Solutions For Creating Visual Content
January 25, 2023
Colorblind-friendly Solutions For Creating Visual Content

According to National Eye Institute, in average, every twelfth person in the world has one of types of color blindness. So, there are, at least, 300 million people who live with this deviation.  When you should convey some information, using, for example, colored charts, it can become a problem. Visual content simplifies the perception of information, but, in this case, you may not do colorblind people a favor.  In our article, we selected five other article, that can tell you about the key moments you should consider when creating visual content for people with color blindness. What Is Color Blindness According to Wikipedia, color blindness or color vision deficiency is congential or acquired decreased ability to see some colors or differences in color. People with color blindness have difficulties to recognize the color on traffic lights, puzzles, color-oriented games etc.  There are two types of color blindness:  Partial — when human eye can’t see certain colors. There are most popular types of partial color blindness: protanopia (warped perception of red shades), deuteranopia (human eye can’t see green shades), and tritanopia (warper perception of blue and violet shades). According to Ali Levine, the author of True Colors: Optimizing Charts for Readers with Color Vision Deficiencies article, if a person can’t see, for example, red color, it influences other colors too. “A common misconception among those who are not colorblind is that if someone has red/green color blindness, they only have trouble with the colors red and green. However, these deficiencies can easily affect other colors as well; for instance, maroon and brown can look identical to people with red/green color deficiencies… after all, maroon is just brown with a touch of red. In other words, it is not just the colors red and green themselves, but also those colors within other colors,” wrote Levine.  Full — when human eye can’t see colors at all and perceives the world around monochrome. Basically, a person with deviation like this sees the world as a black-white movie.  How You Can Visualize Data For Colorblind People Here, you can read five interesting articles about the most effective solutions for colorblind-friendly visual content: The Best Charts For Colorblind Viewers This is the article by Ivan Kilin, Visual Data Specialist, that contains detailed information about, how colorblind people see and what color palettes are the most suitable for them. Also, the material  has a lot of examples of colorblind-friendly charts and palettes. The source: True Colors: Optimizing Charts for Readers with Color Vision Deficiencies Clear and interesting aforementioned article by Ali Levine. The author writes about color blindness and describes effective ways to create data visualizations for colorblind people. Also, Levine mentions special apps and simulators that recreate the vision of people with color blindness. Coblis is the one of examples of these simulators, and you can find the link to the program in the article itself. The source: How to Use Color Blind Friendly Palettes to Make Your Charts Accessible The article by Rachel Gravit describes the ways to make your visual content more inclusive. You can thus make your pie chart more understandable for colorblind people using bright contrasting colors, monochromatic color palette or different ornaments to highlight segments of pie chart.  The source: Why Your Data Visualizations Should Be Colorblind-friendly The article by developer Leoni Monigatti tells about the matter of color and the way every person sees colors, depending on type of color blindness. This article in not about pie charts only, there’s some useful information about any other types of data visualization.  The source: Contrast and Color It’s the article by Maureen A. Duffy from Vision Aware, an online media for those who have vision deviations. The author briefly describes the principles of making right color decisions in design. Duffy recommends paying attention to bright and contrasting colors, because they are suitable for people with color blindness. Colors like blue, yellow, violet, and green are hard to see for colorblind people.  The source:    We hope this article was useful for you. The approaches to creating colorblind-friendly visuals will make your visual data more inclusive and understandable for customers and colleagues that can’t see and distinguish some colors. 

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