The Silo Challenge With The Internet Of Things (IoT)

An endless stream of new smart and connected things hit the market every day and a big challenge becomes more and more obvious: silos are forming where things should in fact be connected.

Take a smart home: Nest of Lyric thermostat. Smart CO2 and smoke detectors (maybe from Nest too), smart locks from lockitron, smart fridge from Samsung, smart lights from SmartThings, a scale from Withings, smart TV, and on and on.. not including your fitbit, your smart watch, your phones and tablets, your Sonos. They all talk to some server on the Internet. They are all part of the Internet of Things (or at least the premises of it) but talk about connectivity: They can’t even talk to each other!

What if you smart window shades could close when the thermostat says it’s too hot in the house? what if the fridge could tell you a little reminder to not snack when your scale is a bit high (arrg.. I shouldn’t have taken that extra cheese)? What if all locks or even doors could open when a high level of CO2 is detected to ventilate? What if your Sonos could sound an alarm when a fire is detected?

From a user experience, you shouldn’t have to open 15 differents apps to access your information, you should be able to have a view of your home, a view of your health, composed of every elements and piece of data from all the devices you have or interact with.

Silos are the doom of IoT. If they don’t come down, the dream will not be fulfilled.

This is exactly what the AllSeen alliance is trying to solve and I believe it is one of the most interesting challenge in IoT today. We could break it down into a few pieces:

Device discovery standards: Enable devices to be discovered, broadcast their capabilities and interact with other in standard ways. Obviously taking into account all the security and privacy concerns that go along with those scenarios. In this world, a device could say I have an On/Off status, I have a temperature, I have an alarm with 10 levels of importance, and other parameters. It wouldn’t matter what the device is, those could apply to hundreds of different devices.

Protocol translation: I don’t believe we will have 1 protocol to rule them all. You will have devices speaking MQTT, some XMPP, some CoAP, some DDS, some proprietary protocols. Inside those the data format may even be different. Translating those protocol to something standard either through JSON, XML or RESTFul APIs is going to be key.

Thing beyond the devices: Not only devices will need to talk to each other but applications as well. Getting the weather, talking to my bank, looking at my Strava bike rides, getting my medical information from my doctor. The source of data is not only devices but everything you interact with.


I feel that the data silo challenge is fascinating but has the most fantastic outcome you can imagine: Personalization to the individual level. When systems will be able to make sense of all that data, when system will start to correlate the data using machine learning models in order to find patterns or find similar people, when you can start to predict. That’s when IoT will have a true meaning in our lives.


Global Entrepeneurship Monitor 2008

I skimmed through the GEM report for 2008 and found out a few good stuff that are relevant to this blog:

The first one is the age distribution of early stage founders:

Despite the fact that the biggest segment in every type of economies is always 25-34, you can notice that a large majority of entrepeneurs are actually over 34 year old. This is reassuring ;-). This is also confirmed by a report from the Kauffman Foundation (May 2008) that presented the data in an other fashion:

Honestly I found this amazing.. What about all those stories of Undergrad student starting the best ideas out of their dorm room or their garage? Well, Yahoo was started by college student, same for DELL and for Facebook is probably the most impressive with its CEO.. But those are the flashy ones! How many companies are very successful but were started out of strong fundamentals, based on experience, skills and well thought business model and great technology? To wannabe Entrepreneurs: don’t be fooled by the few companies like Facebook or Twitter.. they are so rare that they shouldnt be taken as example for your next venture..

In the GEM report you could find the main reasons (auto reported) why Entrepreneurs stopped their business:

Around a third of the startups stop because they are not profitable (I hope those guys had at least a business model that was supposed to be making money – which is not always the case unfortunately) .. Around 20% for personal reasons (you can imagine what it could be: Arguing with your partners, spending too much time on the business and your partners wants to leave, loss of passion, etc..). What I find interesting is that only a few percent have the opportunity to Sell!..

Conclusion: It’s never too late to start a business (average is 39), and if you can make sure that at least the business is profitable (if not big) you can increase significantly your chances of success.. Seems obvious? Well.. wait a little and you’ll see that it’s not for a lot of entrepreneurs..