The rise of Low-Code and No-Code AI tools and platforms has encouraged the development of applications that utilize machine learning in groundbreaking ways. These AI technologies are perfect for developing web services and customer-facing apps to better coordinate sales and marketing efforts, with minimal coding expertise required for usage.
No-code is a software design system that can build software without coding, while low-code is a software development approach that promotes rapid app delivery with little to no coding required. Both no-code and low-code platforms are software tools that allow visual app development using a GUI interface. There are several top-rated low-code and no-code AI tools which include MakeML, Obviously AI, SuperAnnotate, Teachable Machine, Apple’s Create ML, PyCaret, Lobe, MonkeyLearn, Akkio, Amazon SageMaker, Data Robot, Google AutoML, Nanonets, IBM Watson Studio, H2O Driverless AI, Domino Data Lab, CrowdStrike Falcon Fusion, and RapidMiner.
For example, MakeML allows the generation of machine learning models for object identification and segmentation sans hand-coding, while Obviously AI’s machine learning platform enables accurate predictions in minutes. SuperAnnotate is an end-to-end system for AI tasks like managing, annotating, and versioning “ground truth” data, while Teachable Machine lets a computer learn to recognize and respond to your voice, gestures, and images without any code. Apple’s Create ML provides an innovative approach for teaching and training machine learning models.
PyCaret can automate machine learning workflows in Python, while Lobe helps teach your apps to understand different things. MonkeyLearn offers Artificial Intelligence tools that simplify cleaning, visualizing, and labeling client feedback. Akkio allows users to build prediction models without code, and Amazon SageMaker can create, train, and deploy machine learning models. Data Robot facilitates the entire artificial intelligence lifecycle from development to management.
Google’s AutoML allows users with minimal machine learning experience to construct models, while Nanonets offers a machine learning API that allows developers to train a model with only a fraction of the data. IBM Watson Studio offers a central hub where anyone can create, release, and manage AI models in the cloud. H2O Driverless AI streamlines the machine learning lifecycle, while Domino Data Lab is a cloud-based service for building, deploying, and managing machine learning models. CrowdStrike Falcon Fusion is a security orchestration, automation, and response architecture, and RapidMiner is a comprehensive data science platform.
In conclusion, top Low/No Code AI tools are carving a path to a more accessible and user-friendly age of AI, making software and app development as well as machine learning more accessible to a wide audience. These tools and platforms are enabling professionals and enthusiasts alike to operate in a highly efficient, streamlined environment that demands minimal coding expertise but still affords powerful deployment and implementation of AI.
