In the last several years, no-code platforms have come on leaps and bounds. Their biggest benefit? They free up skilled developers’ time, allowing them to work on other, more pressing projects. The question, however, is whether this technology can be used to create AI applications effectively, especially as many of these are becoming increasingly complex.
Here, we look deeper at no code AI development, learning more about why it’s a game changer for application development.
What is No Code AI Development?
In terms of software development, no-code development is transforming the tech sphere! Combined with AI, products that were once deemed out of reach are now very accessible to even those who aren’t technical experts.
In a nutshell, no code AI allows you to create complex processes and generate features, designs, and even applications in their entirety without having to apply any code. This technology is being embraced by developers, who often waste a great deal of time writing mundane code rather than innovating and bringing new ideas to life.
To put the rise of this technology into perspective, research suggests that 75 percent of big organizations will be using no-code technologies for IT applications and citizen development by 2025.
With this in mind, numerous organizations are racing to become the most popular no-code platforms to make their mark in this sector.
How No Code and AI are Partnering Up
Now that low code is making its mark, artificial intelligence (AI) is playing a significant role in the development of no-code, especially in terms of generative AI. Going forward, this could enhance application development, testing, and the improvement of quality products as a whole.
More Is Yet To Come
AI in no-code is still a work in progress and is improving every day, with major computer companies investing in it. For example, 40% of boards reported allowing greater technology funding for digital projects in the lines of business. No-code is one of the main methods business units will use to develop their apps, automation, data models, and algorithms – all required to solve various time-consuming business issues.
Why No-Code is Proving Popular
Traditional application development often requires specific skill sets. Resource and talent shortages in IT and software engineering industries have prompted developers and businesses to invest in AI technology and no code. No-code artificial intelligence is a more accessible path to AI development without hiring additional software developers or data scientists.
This technology allows IT teams to move quicker, a great deal faster than traditional coding techniques. With AI and no code, it’s now possible for companies and tech teams to create applications using no-code platforms, leaving them more time to focus on other jobs.
The Importance of no-code AI
No-code development systems let people try out different AI models. They can use them for certain situations without having to do big coding or needing lots of technical skills.
For example, doctors and nurses are now using this technology to learn about patient details. This aids them in picking better treatment options. Online stores can also recommend items that fit their customers’ needs. This also makes the experience better for them as a whole.
This technology could change how companies operate and will be important in creating AI apps for future use. We’ve listed a few of the ways how below:
- Quicker development times: App development gets faster with AI that doesn’t need coding. It allows you to correct mistakes and write code quickly.
- Heightened accessibility: Tools with AI can make code from what people say, making it easier for you to build apps.
- Cutting costs: Making normal apps can be expensive, mainly because people who write code ask for more money.
No-code AI technologies
No-code artificial intelligence is a combination of several emerging technologies, some of which we have listed below:
- NLP helps computers to understand and interpret human language. You can use it to create talkbots and voice helpers.
- Computer vision lets machines see and understand visual data. This is used in face recognition tools.
- GANs or deep learning programs create new data from old patterns. This can be used to make pictures and videos, too.
The Bottom Line
Businesses, tech teams, and developers are all realizing the importance of no code and AI technologies, especially in filling skill shortages, completing work quicker, and freeing up time to focus on pressing workloads rather than mundane tasks.
Those embracing this technology in the right way not only save money in terms of hiring individuals to complete these mundane tasks, but they also save a great deal of time, allowing them to meet more deadlines and take on more jobs and clients without the need to employ expensive developers.
