Will artificial intelligence lead the way in app development?

Artificial intelligence and machine learning are delivering significant benefits to the app development process, indicating one of the next stages in the workplace’s digital revolution. AI and ML are two interrelated technologies that are often used interchangeably.

Let me explain the differences; AI is a broad term that refers to a wider endeavour aimed at developing computer systems that can forecast and replicate human behaviour, as well as perform tasks that are normally related to human intelligence and thought.

Whilst machine learning is just one of the several disciplines of AI that deals with computer programs that collect data, discover patterns, and decide things on their own or with minimal human intervention. As a software programmer, for me personally, this has been one of the most fascinating times to work on innovative concepts.

In simple terms, machine learning is at the heart of many artificial intelligence systems, as it tries to improve at a task without having to be trained for it, saving many hours of coding and analysis. Based on their ability to translate enormous data sets into meaningful next-step solutions, ML tools are among the most in-demand AI-powered technologies for enterprises.

AI implementation

Now in just a few years, we have seen a lot of low-code and even no-code platforms appear. These have advanced significantly in their ability to relieve expert developers of the effort of creating specific apps. They’ve become essential tools that big businesses are increasingly looking at to allow faster app development.

We should remember though, that low-code AI implementation is still in its early stages, despite huge vendors like Microsoft investing extensively in this area. A lot needs to be done in this space still and we’ll see a whole new world emerging from this in the near future.

Without doubt, pandemic played a huge role in speeding this up. When the pandemic hit, it elevated a lot of low-code platforms, this could be because traditional application development often needs specialised knowledge.

Organisations today often encounter skill and budget restrictions in IT, software engineering, and digital business units, but other factors may have also contributed to the widespread adoption, such as the speed of developing apps using AI. The need to address some of the issues that occurred as a result of the pandemic propelled the low-code trend. This involves IT departments understanding the need to move faster than traditional coding methods.

For example, developing an app using AI or low-code, just to be able to get the app released quickly, even though it may need to be re-done in a few years, could be better for businesses than not releasing their app. At least that’s my personal opinion because the consequence of not delivering on the product could result in financial losses for the company and something new would come along while you are spending time to perfect your product.

I’d like to conclude with my thoughts, that more flexibility is required from business units and speed with which we can deliver to the consumers. Low-code is one of the primary ways that businesses will create apps, automation, analysis tools, and algorithms – all of which are required to address business challenges across different sectors.

AI will only get smarter and better equipped to deal with the needs of businesses and development teams as new solutions get churned out quickly. The fact is that technology needs constant updates and new features are therefore added as per the need of the situation.

Digital transformation will continue to shape the world around us and AI is just going to help us accelerate this process. While it will unlock new opportunities for growth, expansion and efficiency we will also witness more innovation and solutions and reduce monopoly enjoyed by certain industries as well.

Whether you embrace or brush it aside, technology, aided by machine learning and artificial intelligence, is going to change the way we live today.

Shadman Sakib, Tech Entrepreneur