IBM Unveils New Technology to Address the Internet of Things




ibm_logo150.pngIBM has introduced a new appliance designed to help organizations to communicate with millions of mobile devices and sensors around the world. The new offering is called IBM MessageSight and will be able to communicate with and gather information from devices varying from mobile phones and tablets to automobiles to house appliances.

IBM MessageInsight is built using IBM’s Message Queuing Telemetry Transport Technology (MQTT), which enables it to process large volumes of events in near real time and to consolidate the information in a single repository for its analysis.

Marie Wieck, general manager of WebSphere for IBM, explained:
When we launched our Smarter Planet strategy nearly five years ago, our strategic belief was that the world was going to be profoundly changed as it became more instrumented, interconnected and intelligent. IBM MessageSight is a major technological step forward in continuing that strategy. Until now, no technology has been able to handle this volume of messages and devices. What's even more exciting is that this only scratches the surface of what's to come as we continue down this path of a Smarter Planet.

One use case mentioned by IBM centers on how automotive manufacturer can use IBM MessageSight to help manage the features and services of its automobiles. By being able to detect when a car’s specific service light turns on, the dealer can notify the owner of the gravity of the problem and the right action to take.

Bob S. Johnson, director of development for Sprint’s Velocity Program, remarked the following:
To realize the vision of a Smarter Planet, we must first enable the universe of instrumented sensors, devices and machines to communicate more efficiently while sharing, managing and integrating large volumes of data at a rate much faster than ever before. We have been testing IBM MessageSight for some initial projects and are excited about the capabilities that it could help us deliver to the vehicle and beyond.

This move from IBM is a logical step in terms of closing the cycle of its big data portfolio by addressing the collection of data, specifically machine-generated data—something which companies such as TIBCO and Streambase are already doing.
 
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