|Nine billion Internet of Things (IoT) devices today, and the number is growing. Organizations must consider how to manage the complexities of connecting to a seemingly unlimited number of devices and how to effectively integrate IoT data with data from other sources, such as internal data stores. Business value comes to those who improve their data capabilities—integration, automation and analysis—not to those who simply connect the most devices to the network.
Watson IoT is a set of capabilities that learn from, and infuse intelligence into, the physical world. The IoT generated data, and it is extremely varied, noisy, time-sensitive and often confidential. Complexity grows as billions of devices interact in a moving world. This presents a growing challenge that will test the limits of programmable computing. Cognitive IoT is our opportunity to fully exploit this resource.
Cognitive IoT is not explicitly programmed. It learns from experiences with the environment and interactions with people. It brings true machine learning to systems and processes so they can understand your goals, then integrate and analyze the relevant data to help you achieve them.