H2O.ai is a machine learning software used to build and deploy predictive analytics models. H2O.ai provides an easy-to-use interface that allows users to build and train machine learning models without writing code. This can be done using built-in algorithms or by importing custom algorithms from R and Python...

IBM Watson Studio is a cognitive development tool that allows you to incorporate existing data assets into the Watson platform, create custom models using machine learning, create new services using cognitive APIs and support natural language interfaces in applications, as well as analyse, visualise and interpret data. 

Watson Studio is offered as part of the IBM Cloud Pak for Data tools.

The product is designed to reduce the complexity of building and managing conversational AI applications, enabling you to build and scale AI solutions for the enterprise.

TIBCO Data Science is a set of tools to simplify and extend the process of data exploration and discovery. TIBCO Data Science makes it easy to create predictive models, optimise decision making and gain insight from data. It is ideal for companies that need to gain better control over the data they are collecting and converting into knowledge...

DataRobot is a data science platform that helps companies make better decisions using large amounts of data. It provides an easy-to-use interface that allows users to ask questions, extract and analyse data, and generate predictive models...

IBM Watson Analytics is a data visualisation and predictive analytics service that uses artificial intelligence techniques to enable rapid, autonomous discovery of patterns and meaning in data.

With guided data discovery, automated predictive analytics and cognitive capabilities such as natural language dialogue, Watson Analytics allows you to 'converse' with data and get understandable answers...

Google Cloud AI Platform is a comprehensive set of tools for building, deploying and managing machine learning applications, or integrating them into home-grown applications. It includes pre-trained models that can be used out-of-the-box or customised to meet specific business needs, as well as a wide variety of integrated services that can be used together or separately to build any type of application.

Key features include:

R is an open source suite of utilities and a programming language for data manipulation, statistical calculations, analytics and graphics visualisation.

The environment is easily extendable with new packages (statistics, graphics, analytics, etc.) contributed by the community of R users and developers...

Amazon SageMaker is a machine learning solution that enables data scientists and developers to create, train and deploy machine learning models. It supports batch and online learning, and comes with pre-built algorithms for common use cases.

It has an intuitive user interface, powerful algorithms and an enterprise-grade infrastructure that allows you to build your machine learning solution without having to be an expert in cloud infrastructure or deep learning.

Databricks is a cloud-based software platform for data engineering, data science and machine learning. It provides a scalable environment for running high-performance data applications, and support for large datasets and high volumes of data processing...

RapidMiner is a powerful tool for advanced analytics, data mining and predictive analytics. It provides a graphical interface that enables data scientists, data analysts and business users to build predictive models, perform descriptive statistics, create visualisations, test and rapidly deploy machine learning models for any type of data...