Best Data Science and Machine Learning Platforms in 2022.
Accern is a no-code AI platform that provides an end-to-end data science process that enables data teams at financial organizations to easily build models that uncover investment signals and trends from structured and unstructured data. Data teams use Accern to build and deploy adaptive Natural Lang...
Our score: 8.4
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning....
User satisfaction: 97%
Our score: 9.2
Anaconda Enterprise helps organizations harness data science, machine learning, and AI at the pace demanded by today's digital interactions. Anaconda Enterprise combines core AI technologies, governance, and cloud-native architecture. Each piece—core AI, governance, and cloud nativere critical com...
User satisfaction: 98%
Our score: 8.4
Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure....
Our score: 8.4
Box Skills is a framework that applies best-of-breed AI technologies from leading providers to your content in Box, creating structure and extracting insights from your data at scale....
Our score: 9.8
Datacanvas data science platform is a complete collaborative development modeling platform for data scientists, data analysts and AI practitioners. It integrates automatic data preparation, three modeling methods, original "Four Repos" and self-developed AutoML, AutoDL and other AI technologies, whi...
User satisfaction: 92%
Our score: 8.4
Dataiku is the a productive development platform for data professionals. This all-in-one tool integrates all the capabilities required to build end-to-end highly specific services that turn raw data into business impacting predictions quickly....
Our score: 7
DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications....
Our score: 6
Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms....
Our score: 8.2
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs, by leveraging Google's state-of-the-art transfer learning, and Neural Architecture Search technology...
User satisfaction: 100%
Our score: 8
H2O Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. Driverless AI empowers data scientists to work on projects faster using automation and state-of-the-art computing power from GPUs to accomplish tasks in minute...
Our score: 8.6
Your AI is only as good as the data that feeds it. With IBM Cloud Pak for Data, you can make your data ready for an AI and multi-cloud world and access an array of IBM Watson technologies at your fingertips. Rapidly provision services for data scientists, data engineers and developers so they can wo...
Our score: 8.2
IBM Watson Studio accelerates the machine and deep learning workflows required to infuse AI into your business to drive innovation. It provides a suite of tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data and use that data to bu...
User satisfaction: 88%
Our score: 8.65
Infosys Nia is a knowledge-based AI platform that brings machine learning together with the deep knowledge of an organization to drive automation and innovation and enables businesses to continuously reinvent their system landscapes....
