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Approaches to Creating AI Models

AI models can be created through three different approaches. These are:
u High Code AI: This approach uses traditional programming methodologies where developers manually
write and deploy code to build applications from scratch. It is best suited for seasoned programmers working
on complex problems where flexibility and scalability are priority.
u Low Code AI: This approach uses visual tools and pre-
built components, that can be customised with minimal
coding. It is best suited for developing AI solutions for
routine problems that require standard procedures, and
hence can be implemented using modular approach.
u No Code AI: This approach uses visual tools and pre-
built elements to create applications without any
coding. It can be used by anyone to create simple AI
models that are easy and fast to develop and allows a
variety of non-technical users to create AI applications.
No Code AI

No Code AI refers to platforms and tools that allow users to develop and implement artificial intelligence models
and solutions without the need for extensive programming knowledge. These tools normalise access to AI
technologies, enabling business analysts, data scientists, as well as non-technical users to take advantage of AI’s
capabilities. The drag-and-drop functionality for building AI models and the visual tools for designing models,
training processes, and deployment makes it widely popular.

Need for No Code AI

There are several reasons for No Code AI approach becoming popular.
u Error detection and debugging code can be a time-consuming process and leads to loss of productivity and
efficiency. No-Code AI doesn’t use code, hence no coding errors.
u Developing and maintaining code for complex problems is costly. Thus, No-Code AI helps businesses save
money during development and future maintenance.
u Developing AI models using No Code Tools is less stressful. It also does not need hiring staff with specialised
knowledge of AI.
u The drag-and-drop visual approach in No Code AI tools imparts a WYSIWIG approach to building AI models
where each stage can be easily visualised.
u No-Code AI makes AI more accessible to the general public. Even non-technical people such as doctors,
architects, musicians, and even housewives may quickly construct accurate AI models with no coding
involved.
Benefits of No Code AI

The key features of No Code AI approach are as follows:

u User-Friendly Interfaces: Drag-and-drop functionality allows users to easily manipulate data and build
models. In addition to this, wizards and templates guide us to do common tasks such as data preparation
and model training.

u Pre-built Models: Many No Code AI platforms offer pre-trained algorithms for tasks like classification,
regression, clustering, and time series analysis. With the help of these pre-trained algorithms, users can
select models based on their specific statistical needs without needing to code.
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