As many of us start developing with Internet of Things (IoT), it is becoming apparent (very quickly) that writing our own pattern matching rule sets and using simple filters for event processing in IoT is just not going to cut it.
To do IoT Big Data Analysis (in a cloud service or on-premises) "we're going to need a bigger boat". One way to ensure we have big enough processing power to analyze the petabytes of data coming from IoT devices and sensors, is to realize now that IoT will need Artificial Intelligence (AI) to utilize Machine Learning for pattern matching and event processing.
Here's a quote:
We need to improve the speed and
And, once we realize that... it's time to roll-up our sleeves and get to designing a proper AI Deep Learning layer into IoT systems today. Stay tuned to this blog for a quick-start guide to IoT AI Deep Learning and how to use the latest Machine Learning technology to architect a IoT system that will be able to handle dynamic pattern matching and event processing without having to wait for a (slow) human to come up with the IoT event rules and filters...