AI in industrial machinery is an existing space but also has a lot of room for future development. Mobile work machine industry is still waiting for the hardware and software maturity that enables lower costs and ease of use. IoT analytics is moving fast towards the network edge. Edge computing and artificial intelligence are seen as enablers for automation and better situational awareness in smart industrial work machinery like tractors or cruise ships.
In this report, we survey available commercial and open source tools and platform solutions for AI in industrial IoT. The approach here will be differentiating and comparing purely cloud based AI inference and edge computing and what to take into account when choosing a correct technology.
Report is available in FIMAnet fo members.