I attended Thingmonk last week and it (as always) is one of the best annual conferences I attend. The quality of the curated content is of such a high quality, that at times I wonder if I’m even allowed in the room (I blame James Governor for being too good at curation).
Update: The Monkigras conference is 28–29 Jan 2016 and is my favourite event of the year — buy tickets here
Lots of thoughts sprung out of it around IoT, so without too much long boring context or conversation, I thought I’d jot them down.
Great food makes for great conferences (not an IoT thing… but I thought I’d mention it)
For the enterprise companies, the words “Predictive Maintenance” are where it’s at for IoT. Makes sense for high value assets like aircraft but not for low value assets.
IoT projects that use wifi as the basis for connection are asking for trouble, so just don’t do it! (HT Yodit Stanton)
Using VW as an “exemplar” of how to do IoT things, is probably a bad idea for the foreseeable future (because defeat devices).
IoT prototyping = Raspberry Pi (obvs)
Nuclear power doesn’t scale (note: it does work though), and China is currently building the equivalent of 70 nuclear power stations in solar… which is awesome.
Powering stuff with hydrogen is pretty amazing and it is possible to generate hydrogen using solar, so stuff the naysayers saying it needs lots of carbon… it doesn’t! (HT Andy Stanford-Clark)
There is a BIG problem with data security with IoT that is yet to be resolved. Trusting who has data is a problem, as is device security and maintenance.
Smart Cities is a big thing (don’t like the term, but hey ho), but it’s also a scale problem too. IMHO One city is a good prototype, but it’s not a commercial proposition on it’s own (in reality).
Access to data is genuinely the key to analytics. If data is kept private or hidden, then you can’t generate value for anyone out of it.
High value assets are where you can make money on IoT and analytics. Unfortunately, high value assets require long sales cycles and that is out of reach of most startups. Accelerators in this space need longer cycles than the norm.