It was a Charlie Chaplin impersonator moving around the brand new PC Jr. While the iconic 1984 Apple Commercial probably launched computing further that original commercial from IBM was the beginning of the swell. The first big hype was the personal computer. I do recall a smaller ground swell around the DEC hardware my school got (a PDP11) but that was mostly for AV geeks rather than the general public. The Macintosh and PC launched a commercial reality, the personal computer.
We’ve had a number of waves since then.
- Client Server
- Personal productivity (which was part of the original wave but it also modified the world around it in making it ok to use a computer to do a lot of tasks we had done manually before then).
- The internet
- Cloud Computing
- Big Data (and Data Analytics)
- Internet of Things (iOT)
Yes it is a hype list. These bullets creating a ground swell of change and then slowly absorbed into the mindset of why aren’t you. The first adopters chanting the joy and wonder of what they were doing and then suddently everyone was doing it.
Malcolm Gladwell coined the term “tipping point.” Each of the bullets above reached a tipping point and then exploded. iOT is well past the overall tipping point now, the issue I suspect will however be the same one that slows cloud adoption (security) and big data analytics (data where is it and how do I get to it).
If I may steal from Dylan Thomas “Do not go gentle into that internet of things. Worry, worry about the data they produce.”
The goodness for iOT fans is that you have passed that mythical tipping point. Now your passion is real. But you still have that nagging data problem. I first talked about that problem on this blog and later compiled the conversation on Linkedin (https://www.linkedin.com/pulse/20141015152256-1406254-data-data-everywhere?trk=mp-reader-card).
I’ve read articles and brilliant pieces in the past year about what we could do. The argument in Data Analytics moved from what is big data to let’s move the processing to the data or the data to the processing in the end creating other questions and problems. But it was a starting point. I suspect since the iOT revolution has already begun that there is a starting point.
The easy one is “what data is critical.” I spent a long time in my book “The SyncVerse” trying to come up with a formula for data criticality. Sadly the reality of data is its nature. What is critical to me isn’t always critical to you. The reality of the iOT is that different things are critical to different people. Most of us would like to have some level of security for the place we live. I suspect we could start with security as the baseline for both people and companies.
We still need (as asked for yesterday) a data architect to come up with a model whereby different sensor systems can interoperate without massive intervention. We need a alarming structure, a reporting structure and a management structure. The alarming structure will need to be able to notify you of issues, since we are taling living place security it will also need to be able to notify the authorities.
So do not go gentle into that internet of things…