Audience

Companies looking for a solution to compose and extend apps that take advantage of data and analytics from their connected devices

About IBM Watson IoT

The Internet of Things (IoT) is the billions of physical devices around the world that are now connected to the internet, all collecting and sharing data. By combining IoT data with IBM Cloud® technologies, businesses can extract valuable insights to improve virtually every aspect of their operations and enable innovative, new business models. Start with your device and connect it with an IBM Cloud recipe. Connect to the IBM Cloud using open, lightweight MQTT or HTTP. Manage connected devices so your apps can access live and historical data. Use highly-secure APIs to connect your apps with data from your devices. Create analytic apps in the IBM Cloud, another cloud or your own servers. Connect, collect and start processing IoT data quickly and easily with the IBM Watson IoT® Platform. Take advantage of the analytics service for visualization and AI-driven analytics in the cloud.

Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, IBM Watson IoT offers API access

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Company Information

IBM
Founded: 1911
United States
www.ibm.com/cloud/internet-of-things

Videos and Screen Captures

IBM Watson IoT Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online

IBM Watson IoT Frequently Asked Questions

Q: What kinds of users and organization types does IBM Watson IoT work with?
Q: What languages does IBM Watson IoT support in their product?
Q: What kind of support options does IBM Watson IoT offer?
Q: What other applications or services does IBM Watson IoT integrate with?
Q: Does IBM Watson IoT have an API?
Q: What type of training does IBM Watson IoT provide?
Q: Does IBM Watson IoT offer a free trial?

IBM Watson IoT Product Features

Data Analysis

Data Visualization
Text Analytics
Regression Analysis
Data Discovery
Sentiment Analysis
High Volume Processing
Statistical Modeling
Predictive Analytics

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization