How Artificial Intelligence will make the IoT?

A key application for AI in the IoT is the data catalog, according to Informatica's Amit Walia. Speaking to Silicon Angle at the Big Data SV conference in San Jose recently, Walia noted that it's not just the amount of data that poses a problem for analysts, but the diversity of data types, streams and sources. With Artificial Intelligence providing the metadata that gives meaning to all of this raw, unstructured data, human analysts can provide the higher-value service of actually analyzing information, rather than the rote processing and categorization. It's the difference between forming IoT infrastructure around a data lake or a data swamp.
The data volumes expected from the Internet of Things (IoT) are certain to be large - too large, in fact, for even an army of trained analysts to turn into useful information in a reasonable amount of time.

This is why every solution aimed at the IoT relies heavily on automation, simply to manage the flow of information between devices and to centralized storage and analytics systems. But even this is not likely to be enough. To fully leverage the IoT, it's becoming obvious that the enterprise will have to utilize new forms of < https://mindmajix.com/reasons-why-you-should-learn-artificial-intelligence" and machine learning to basically allow the environment to makes its own use of available data and tell human operators what needs to be done.