IBM Watson Machine Learning Alternatives

Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Open Source

Build powerful web apps, and create your custom AI apps, no code needed!

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The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Salesforce Einstein is an Artificial Intelligence designed into the core of the Salesforce platform, where it power the world’s smartest CRM.

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.

BP Logix BPMS is a smart forms and workflow software help to create a business environment that is highly responsive, accountable, and compliant.

Train custom ML models with minimum effort and expertise

Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

A high-level language and interactive environment for numerical computation, visualization, and programming

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.