Top no-code AI Platforms
                     Top no-code AI 
Platforms
By AI-Techpark.com
With the evolution of No-Code AI, sectors such as web development 
are advancing while others are just emerging. Now, with these no-
code AI platforms, businesses have a chance to explore the 
technology without needing to hire tech experts or adopting 
expensive strategies.
With the evolution of technology, it is now possible to design 
complicated apps without investing a lot of money, waiting months 
or years, or hiring several developers.
NO-CODE PLATFORMS HAVE MADE IT EASY TO CREATE 
PROGRAMS THAT USE ADVANCED TECHNOLOGIES. THE 
INTRODUCTION OF THESE PLATFORMS HAS RESULTED IN AN 
INCREASING NUMBER OF BUSINESSES ATTEMPTING TO USE 
THEIR CAPACITY TO BUILD AI SOLUTIONS.
With this, visual drag-and-drop tools come into the 
picture, aiding data scientists in filling the void and 
making Artificial Intelligence (AI) less daunting for 
people with non-technical backgrounds.
Lets Understand more about the top no-
code platforms for building AI solutions.
Clarifai - Clarifai, founded in 2013, is an NLP and Computer Vision 
tool that provides an end-to-end solution for modeling unstructured 
data throughout the AI lifecycle. Image, text, and video recognition 
solutions are built on a cutting-edge machine learning platform that 
can be accessed through API, device SDK, or on-premise.
CreateML - Apple has been allowing developers to use transfer 
learning to create bespoke machine learning models since 
2018. The app enables users to create models for object and 
activity detection, as well as picture, sound, video, text, and 
tabular models.
Google AutoML - AutoML is the Google package star, which 
works like CreateML but in the cloud. Sight (Vision and Video 
Intelligence, the latter in beta) and Language (NLP & 
Translation), as well as structured data functions (Tables), are 
currently included in the model package.
DataRobot - The DataRobot enterprise AI platform modifies data 
science and automates the whole AI development, deployment, and 
maintenance process. It was founded in 2012, focusing on predictive 
models, powered by open-source algorithms, and offered in the 
cloud, on-premise, or as a fully-managed AI service.
Levity - Levity focuses on text, image, and document 
categorization and allows users to train unique models on their 
use-case-specific data, and is suitable for companies of all sizes. A 
human-in-the-loop option is included in custom models and 
processes, giving users complete control over the model, which 
requests inputs when it is unsure and learns from interactions.
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