Despite changing our lives significantly, software is not able to resolve all existing issues because they belong to the physical world – manufacturing, logistics, supply chain management, industrial production, etc. And here comes the role of AIoT.
Using IoT-connected devices and machine learning algorithms, it is possible to move from system monitoring to failure prediction, workflow optimization, asset tracking and operational improvement.
As far as developers and engineers are concerned, creating AIoT products implies not only training machine learning models. They should connect IoT devices, work with real-time data streams, integrate AI services and create applications capable of solving real-life business issues.
With the further development of edge computing and industrial machine learning, AIoT platforms will become increasingly popular in various industries including manufacturing, healthcare, smart buildings, transportation and others.
In case you're investigating the potential of combining artificial intelligence (AI) with Internet-of-Things (IoT) technologies in an attempt to create scalable industrial solutions, Aperture Venture Studio may be a good source of knowledge on constructing AIoT ventures in practice: https://apertureventurestudio.com/
The future of innovations will not be confined to digital products only. They will emerge as intelligent systems, combining software with the physical world.
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