Low-code/no-code tools simplify AI customization for engineers – techtarget.com

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Coding is a fundamental part of AI development. However, there’s far more demand for AI coding than there are skilled developers available. This has triggered a rise in the use of low-code and no-code (LCNC) AI tools that let less-technical — even nontechnical — users participate in AI project development.
LCNC AI tools can accelerate code creation, saving project time and money. Use cases for these tools are similar to more traditional software development, such as the following:
Low-code and no-code AI tools aren’t common. They cater to specific types of AI coding tasks. For example, tools such as Akkio and DataRobot focus on building machine learning (ML) models for data analytics. CustomGPT.ai builds chatbots from business content. Lumen5 and Runway ML generate media content. Tools such as Mendix and Dataiku help with general-purpose AI applications.
According to Markets and Markets research, analysts expect the global no-code AI platform market to grow at 38% from 2024 to 2029, when it is projected to have nearly $25 billion in revenue. This offers a strong market for LCNC tool creators and can lead to tools that support a range of AI system creation, customization and deployment.
The types of AI models LCNC tools support typically include the following:
Engineers can build these AI models with LCNC tools and AI applications, such as the following:
LCNC AI tools provide a variety of benefits for all types of organizations, including the following:
Low- and no-code AI tools provide a variety of features to help users accelerate successful code projects. The following are some common features of LCNC AI tools:
There are many low-code and no-code tools available for AI projects and application development. The following list includes various LCNC AI tools compiled from market research:
Stephen J. Bigelow, senior technology editor at TechTarget, has more than 30 years of technical writing experience in the PC and technology industry.
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