I spoke at the 2017 Interop IoT Evolution conference which ran from July 17-20 in Las Vegas. See http://www.iotevolutionexpo.com/west/. I estimate there were about 300 attendees. Attendees came from all kinds of companies (and government agencies) and were in all kinds of roles, both business-related and technical.
I participated in a panel discussion, “Autonomous Autos and New Transportation Models”. Self-driving vehicles are not my area of expertise, but I was on the panel because I could field engineering questions related to machine learning and deep neural networks.
My fellow panel members were Blake Stone from NextGen Global Resourcs (an IoT consulting services company), and Mike Palermo from HERE Technologies (a geo-location data company). Both guys were very nice, smart, and knowledgeable.
This was the fourth time I’ve spoken at IoT Evolution. Attending this event is a good way for me to monitor trends related to IoT, especially trends related to the business aspect of IoT. I pass this information on to my colleagues who work in IoT research.
I’ve noticed that there’s a certain “IoT fatigue” factor. People have been talking for several years now about how, “By the year 20xx there will be xxxx billion IoT devices that blah, blah, blah.” But very little seems to change. One possibility is that, at some point, IoT efforts will reach a critical mass (or perhaps some major research breakthrough will occur) and new progress will happen quickly. Another possibility is that IoT will evolve very, very slowly over a very long period of time.
The biggest trend I saw at the 2017 IoT Evolution conference seemed to fall into one broad category: real-time predictive analytics on the edge. Instead of uploading sensor data to the Cloud for batch processing later, IoT devices process streaming data locally and take action quickly.
Bottom line: The 2017 IoT Evolution conference was informative, a good use of my time, and the information gained useful to me and my company.