Low-code/no-code tools simplify AI customization for engineers – TechTarget

Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
Getty Images
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.
Low code vs. BPM: Differences and similarities
How AI affects low code/no code for DevOps
Comparing low-code vs. traditional development
Compare top AutoML tools for machine learning workflows
Tech entrepreneur Andrew Ng says that in addition to autonomous action, one of the most beneficial applications of AI is enabling…
Data scientists use statistical and analytical techniques to analyze data sets. Here are 15 popular classification, regression …
Data science offers many professional opportunities. Balance education and experience to present yourself as an adaptable and …
CIOs must take an active role in driving CX initiatives by getting closer to and better understanding customers, improving …
Many companies see only modest AI gains while far greater value sits untouched. The real gap isn’t technology, it’s strategy.
Succession planning is vital for IT resilience. Without it, leadership gaps risk disrupting operations, innovation and long-term …
The data integrity specialist’s new features, including a conversational interface and a fabric for connecting governed assets, …
Adding data science libraries featuring GPUs to the vendor’s development suite aims to exponentially improve the performance of …
Semantic modeling to unite enterprise data and automated pipeline capabilities to feed applications with relevant information aim…
Process mining can help improve a company’s operational efficiency, resilience and growth. Here’s a comparison of process mining …
In this podcast, Shannon Wait explains her fight for fair pay and decent conditions for data center workers and why more …
Process mining challenges might seem overwhelming but addressing them head-on can help organizations optimize their digital …
©2025 TechTarget, Inc. d/b/a Informa TechTarget. All Rights Reserved.

Privacy Policy
Cookie Preferences
Do Not Sell or Share My Personal Information

source

Scroll to Top