- All Categories (39)
Internet of Things Platform Starter
Get started with IBM Watson IoT platform using the Node-RED Node.js sample application. With the Starter, you can quickly simulate an Internet of Things device, create cards, generate data, and begin analyzing and displaying data in the Watson IoT Platform dashboard.
Node.js Cloudant DB Web Starter
Use the Cloudant NoSQL DB service with the 'SDK for Node.js™' runtime.
This application demonstrates how to run the Node-RED open-source project within IBM Cloud.
A simple Python Flask application that will get you up and running quickly.
Develop a Ruby web application using the Sinatra framework.
Flexible framework to deploy Hadoop and Spark analytics applications.
IBM Analytics for Apache Spark for IBM Cloud.
Cloudant NoSQL DB
Cloudant NoSQL DB is a fully managed data layer designed for modern web and mobile applications that leverages a flexible JSON schema. Cloudant is built upon and compatible with Apache CouchDB and accessible through a secure HTTPS API, which scales as your application grows. Cloudant is ISO27001 and SOC2 Type 1 certified, and all data is stored in triplicate across separate physical nodes in a cluster for HA/DR within a data center.
A next generation SQL database. Formerly dashDB For Transactions.
Dynamic Dashboard Embedded
Bring data to life directly from your application with this powerful and easy-to-use visualization service.
Leverage IBM Streams to ingest, analyze, monitor, and correlate data as it arrives from real-time data sources. View information and events as they unfold.
Capture, store, and visualize your IBM Cloud activities
Around the world, around the clock availability and performance monitoring.
Build, test and deliver using DevOps best practices.
Manage software deployments with this enterprise-scale release management solution.
Collect, store, and analyze your application's log data.
Collect, store, and analyze metrics from your dynamic cloud environments and micro-service applications.
Watson Assistant (formerly Conversation)
Add a natural language interface to your application to automate interactions with your end users. Common applications include virtual agents and chat bots that can integrate and communicate on any channel or device.
Add a cognitive search and content analytics engine to applications.
Discover, catalog, and securely share enterprise data.
Build custom models to teach Watson the language of your domain.
Translate text from one language to another for specific domains.
IBM Watson Machine Learning - make smarter decisions, solve tough problems, and improve user outcomes.
Natural Language Understanding
Analyze text to extract meta-data from content such as concepts, entities, emotion, relations, sentiment and more.
The Watson Personality Insights derives insights from transactional and social media data to identify psychological traits
Speech to Text
Low-latency, streaming transcription
Text to Speech
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.
Find meaning in visual content! Analyze images for scenes, objects, faces, and other content. Choose a default model off the shelf, or create your own custom classifier. Develop smart applications that analyze the visual content of images or video frames to understand what is happening in a scene.
Embed AI and machine learning into your business. Create custom models using your own data.