Watson Assistant lets you build conversational interfaces into any application, device, or channel.

Embed AI and machine learning into your business. Create custom models using your own data.

Analyze text to extract medical codes and concepts such as diseases, lab values, medications, procedures and more.

IBM Match 360 with Watson (Match 360) improves trust in AI pipelines by identifying duplicate records and providing reliable data about your customers, suppliers or partners.

Teach Watson the language of your domain.

Translate text, documents, and websites from one language to another. Create industry or region-specific translations via the service's customization capability.

IBM Watson Machine Learning - make smarter decisions, solve tough problems, and improve user outcomes.

Analyze text to extract meta-data from content such as concepts, entities, emotion, relations, sentiment and more.

Collection of APIs that can analyze text to help you understand its concepts, entities, keywords, sentiment, and can create a custom model for some APIs to get specific results that are tailored to your domain.

Low-latency, streaming transcription

Synthesizes natural-sounding speech from text.

Tone Analyzer uses linguistic analysis to detect three types of tones from communications: emotion, social, and language. This insight can then be used to drive high impact communications.

Add a cognitive search and content analytics engine to applications.

Discover, catalog, and securely share enterprise data.

IBM Watson® OpenScale™ tracks and measures outcomes from AI throughout it's lifecycle, and adapts and governs AI in changing business situations

Apache MXNet (Incubating) is a flexible and efficient library for deep learning designed to work as a neural network. Bitnami image ships OpenBLAS as math library.

PyTorch is a deep learning platform that accelerates the transition from research prototyping to production deployment. Bitnami image includes Torchvision for specific computer vision support.

Apache Spark is a high-performance engine for large-scale computing tasks, such as data processing, machine learning and real-time data streaming. It includes APIs for Java, Python, Scala and R.

TensorFlow ResNet is a client utility for use with TensorFlow Serving and ResNet models.

Tensorflow Serving is an open source high-performance system for serving machine learning models. It allows programmers to easily deploy algorithms and experiments without changing the architecture.