IoT automation calls for new Artificial Intelligence tools
IoT applications include solutions which address (with increasingly levels of complexity) monitoring, remote management and control, efficiency and productivity, and ultimately full automation. As applications reach the automation stage, managing data becomes substantially more complex. This may involve different data sets and types, requiring completely new methods to process and optimize the data. For automation to achieve its loftier objectives, new approaches to ‘learning’ are being progressed in artificial intelligence fields such as deep learning.
This Research Note shares how IoT applications are beginning to mature towards fully automated environments, and what requirements this development places on technology service providers to provide advanced artificial intelligence tools when aiming to deliver complete end-to-end solutions.
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