As the Internet of Things continues to accelerate, the sheer volume and variety of data requires that we get smarter about how we process it and respond to insights. We need tools and capabilities that capture the human ability to understand intent, reason through options, and learn from successes and failures. If we donâ€™t take this next step, weâ€™ll be stuck using yesterdayâ€™s tools to solve problems that are orders of magnitude harder to solve. Enter Cognitive IoT. What do I mean by Cognitive IoT? Itâ€™s about building smarter solutions that interact naturally with humans through voice and textual commands and understand intent; infusing them with intelligence to rank and prioritize responses based on the most likely outcomes; and incorporating feedback loops that help systems learn about changing environments, changing intent, and the efficacy of specific actions.
Cognitive Analytics for IoT
Today, IBM announced it is enabling exactly these sorts of capabilities by bringing the power of cognitive analytics to IoT. IBM will offer a set of Watson APIs as part of its IoT Foundation platform. As the physical world of devices and systems becomes increasingly digitized, these capabilities will allow clients, partners and developers to make greater sense of this data through machine learning and correlation with unstructured textual, video, and image data.
The APIs will enable capabilities in four key areas:
Cognitive analytics enable a new class of systems that interact naturally with end users and understand the intent of both verbal and textual input. These cognitive systems also help us make decisions through reasoning and advanced analytics that assert priorities and probable outcomes. And instead of being programmed with explicit logic, they learn from their interactions with us and the surrounding environment, enabling them to keep pace with the volume, variety, and unpredictability of information generated by IoT. Finally, cognitive systems understand unstructured data, like text, video, and images, and can correlate it with machine data to provide greater insights and help us make better, faster decisions.
The next few months will be exciting indeed! How will you use cognitive capabilities in your IoT solutions?
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