Low-Code AI
AI development platforms that require minimal coding, typically providing visual interfaces with optional code customization for more advanced users.
Why It Matters
Low-code AI bridges the gap between no-code (easy but limited) and full-code (powerful but slow), enabling faster development with some customization.
Example
Amazon SageMaker Canvas letting business analysts build ML models through a visual interface while data scientists can drop into Python notebooks for custom logic.
Think of it like...
Like a website builder with a code editor — drag and drop for most things, but you can write custom code when needed.
Related Terms
No-Code AI
AI platforms that allow users to build, train, and deploy machine learning models without writing any code, using visual interfaces and drag-and-drop tools.
AutoML
Automated Machine Learning — tools and techniques that automate the end-to-end process of applying machine learning, including feature engineering, model selection, and hyperparameter tuning.
Citizen Data Scientist
A business professional who creates ML models and analytics using no-code or low-code tools, without formal data science training. They bridge the gap between business and technical teams.