Top no-code AI Platforms

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Top no-code AI Platforms

• By AI-Techpark.com

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• 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.

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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.

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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.

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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.

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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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