Low-code/no-code development are methods of app development using drag-and-drop tools that speed up and streamline your workflow, increase efficiency, and boost productivity. Not a coder? No problem. The intuitive interfaces have become easier and give more freedom. Read more about low-code no-code comprehensively here.
Low-Code/No-Code Rising Exponentially Through 2030
According to Gartner, a US-based research company, 65 percent of application development would be done with low-code/no-code tools by 2024. Gartner also forecasts that low-code application development will account for 65% of all application development activity by 2024, mostly for small and medium-sized projects. Adoption of low-code technologies are applied through 2026, and would have implemented more than 65% of application development technology. Gartner further predicts that the low-code development platform market is projected to generate a revenue of $187 billion by 2030.
Reasons Why AI Integration With Low Code No code Technology Is Best For Your Business:
- Digital Transformation
Low code no code technology will definitely accelerate your business by enabling fast delivery of applications. Digitalizing manual processes reduces risk of multiple unwanted errors, which could improve the quality of processes, products and services.
- Staying Competitive
As businesses aim to innovate in today’s fast-paced digital world, they also become competitive in a rather increasingly competitive industry they are in. The goal of delivering faster services are reflected in efficient processes and faster decision-making.
- Easier and Faster Internal Processes
Low code no code technology enables developers to create applications that simplify complex processes that are crucial and beneficial to the over-all business system. This produces easier and faster internal processes that, for example in an accounting firm, lets them operate more efficiently.
- Lower Costs
Traditional ways of development can be really expensive primarily due to the need of skilled developers. Low code no code technology helps businesses by hiring not too many skilled developers therefore saves expenses. The time element also in creating applications could also mean more money - and with low code no code technology, time is no longer an issue.
”AI enables development teams to execute faster, either through a platform or through the generation of quality code (or no code). Additionally It supports requirements gathering. For example, AI assistants can speed up the context and detail of writing user stories. We are working to include more and more of this functionality to provide the best state of the art application development and technology agnostic advisory services to our clients” Says Nymbl Founder and CEO, Martyn Mason.
Forbes further writes: as this move to mainstreaming predictive, reactive and of course generative AI has continued, many of the new services we’re seeing are making use of Natural Language Processing (NLP) techniques at their heart to drive the use of Large Language Models (LLMs). Notable examples include OpenAI’s GPT, PaLM from Google AI being used to power Bard, Anthropic’s Claude AI, Meta’s LLaMA, BLOOM and Ernie Titan. As a core chunk of algorithmic logic, most organizations don’t have the resources, time or skills needed to create their own LLM, so this reality again fuels industry chatter around which LLM to use and how closely we need to look at its DNA.
Nymbl is a leading advisory and development agency experienced in AI-enabled applications. If you’re interested to learn more about AI and how it can potentially shape your business, contact us here.
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