Cognitive computing and the Internet of Things
The Internet of Things is going to help shape the future of many organisations over the next few years. IoT and cognitive capabilities can help dramatically reduce efficiency costs, leapfrog competition, and improve business models. When you combine data collected through IoT and cognitive computing, the impact on organizations will be tremendous.
Cognitive computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. Applying cognitive APIs can unlock huge potentials, with the majority of business models leveraging cognitive computing in the future.
The Edge of the network
There are billions of connected devices currently in use around the globe, and you have probably heard about all the data that will be collected through them in the cloud. But what if you’re a remote business and you don’t have the advantage of high bandwidth connectivity? A mining or shipping company, for example. How do you still get that intelligence? This is where Edge Computing enables companies to gain immediate actionable insight at the point of data. IBM’s partnership with Cisco allows for the delivery of robust analytics virtually any time, at the edge of the network.
Imagine buildings that transform the way we live, work and connect. Buildings which adapt to the way you use them, which using sensors, anticipate maintenance issues before they happen and allow you to react quickly and effectively. These can be seen in the form of smart homes, or just look at IBM’s brand new IoT HQ in Munich, where full transparency allows it to protect, predict and learn, channeling cognitive IoT throughout.
Augmenting IoT data
The question here is how to use new sources of data, combine them with data which organizations already have, to create valuable insight. Let’s take The Weather Company – which IBM acquired last year – as an example. The data collected is combined with leveraging the cognitive capabilities of Watson to study the past and present data and draw out those insights. This wouldn’t have been possible in the past.