AI, Opinion
16 April 2021

At Brainhint, we love to code. Given that we are a team of passionate developers, it should not come as much of a surprise. Us enjoying programming, however, does not mean that we expect our clients to familiarise themselves with something that looks like this: 

<(&#39;&amp;%:9]!~}|z2Vxwv-,POqponl$Hjig%eB@@&gt;}=&lt;M:9wv6WsU2T|nm-,jcL(I&%$#”`CB]V?Tx<uVtT`Rpo3NlF.Jh++FdbCBA@?]!~|4XzyTT43Qsqq(Lnmkj”Fhg${z@>

Will this code automate your work processes and increase productivity by 86%? Nope. It will just print “Hello, World!” but we don’t expect our clients to get into such details. That is why we focus on delivering everyday tools that allow users to create and implement pieces of code into their systems without any coding experience. Every so often a tool can be as simple as a spreadsheet and in some instances, it does not even need to be that! When businesses can focus on increasing productivity instead of worrying about working with complex and constantly changing programs, everyone benefits. This is the foundation and reason why we take a low-code-no-code approach. 

Low-code-no-code refers to platforms that allow customers or consumers to build complex systems by the click of a button, drag and drop, or even through natural language. The key being that no development expertise is necessary. But why do we see this approach as applicable and beneficial across so many industries? To follow our theme of five points from our fintech blog post, here are five drivers that make a low-code-no-code approach the best way to go:

  • IT talent cost is rising rapidly
  • There is increasing complexity within operational business processes that must be configured in IT systems
  • End-user pressure for more products with short time-to-market expectations, requiring quick development and high implementation dynamics
  • Complex products require close feedback from business and product owners
  • The traditional cycle (i.e., requirements – business analysis – technical analysis –development – testing) is no longer feasible

With the help of specialised, expert companies like Brainhint, low-code-no-code platforms for clients can help move industries away from the burden brought on by IT system changes. No longer will expensive external vendors or dedicated internal software teams be required for each and every change within a business’ IT system. Instead of concentrating on IT, businesses can focus on their core and begin to optimise their processes through quick adaptation of flexible low-code-no-code solutions. 

Two such examples, we’ve been working on recently are an artificial intelligence implementation tool and an anti money laundering/anti-fraud solution. The AI implementation tool turns your internal non-coding team into machine learning superheroes who can implement models completely by themselves, saving time, money, and boosting quality. Instead of trying to explain to an intermediary what they would like to achieve, your team can become the masters of their own destiny by using one click, user-friendly, drag-and-drop GUIs. The anti money laundering solution gives financial institutions the ability to ensure the integrity, security, and lawfulness of financial transactions without writing a single line of code, creating complex rules and elaborate workflows with just their mouse. We are excited about all of the future solutions low-code-no-code will allow us to deploy.

Ideal for startups and large enterprises alike, low-code-no-code is a growing trend. Many companies are starting to reap the benefits and Capgemini even crowed low-code-no-code as its top enterprise technology trend. So, what can we at Brainhint do for your company to help best prepare you for the mounting challenges provided in today’s IT systems? Get in touch with us and we will make your business’ IT processes easier than it has ever been with our low-code-no-code approach!

You may also like

Opinion / AI

Fintech: A Buzzword, But What Actually Is It?

A lot of us miss the good old days but there are some things we didn't have back then, like wifi, vast and free resources of the Internet, and convenient banking. The future is closer than we realise as modern banking moves towards client-centered fintech solutions. But what would this look like? Read on!

AI / Technicalities

Text preprocessing

Working with our clients, we often face tasks that rely on use of text as input. In this issue of the Brainhint blog, I would like to cover the topic a little bit more extensively.

AI / Analysis

AI Implementation Readiness: Is your company falling behind?

Is every industry ready to implement and truly benefit from AI? Are all industries equally poised to succeed? What are the core use cases? Today’s blog post delves into the futuristic world of Artificial Intelligence.