IBM Watson (IBM) Software IBM Watson IoT Platform

IBM Watson IoT Platform

IBM Watson (IBM)
IBM Watson IoT Platform
IBM Watson IoT Platform
IBM Watson IoT Platform
IoT Application
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IBM Watson IoT Platform can help you get a quick start on your next Internet of Things project. It is a fully managed, cloud-hosted service designed to make it simple to derive value from your Internet of Things devices. It provides capabilities such as device registration, connectivity, control, rapid visualization and storage of Internet of Things data.
Watson IoT Platform enabled several benefits for companies:
- Connect and register: Easily register and connect sensors and mobile devices. Remotely monitor the connectivity of devices.
- Visually assemble events: With IBM Bluemix, visually assemble events from the IoT into logic flows. Use Node-Red in IBM Bluemix for easy drag-and-drop flow assembly.
- Collect data: Collect and manage a time-series view of data and see what is happening on your devices with near-real time IoT data visualization.
- Manage devices and connections: Pay for what you use with purchase options available through IBM Bluemix. This highly scalable service allows payment through the IBM Marketplace or as a term subscription.
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Harnessing real-time data to give a holistic picture of patient health
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
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