Most of us have been using smartphones for more than five years now, and every single thing we’ve done with them, when and where we did it, was potentially tracked by the mobile OS provider. So if they’ve been paying attention to the data, they’ve been learning more about us and our habits then any other company in human history. Sure, Facebook also is a platform that can learn about us, but it’s only one piece of a multifaceted daily journey we carry on that only the mobile OS provider can fully read. Yet mobile OS providers like Apple, Google, and Microsoft haven’t yet used this knowledge to transform our experiences with the “best friends” we carry in our pockets. And yes, it’s possible to learn about user behavior without infringing on their privacy rights. This is what an adaptive mobile OS would be all about. Aside from the occasional new app you download from time to time, your relationship with your smartphone is comprised of a lot less variability than you may think. Everyday you use only a small percentage of all of your smartphone’s capabilities and the apps you have packed it with. And not surprisingly, you will adhere to habits that will occur regularly during the week and which will depend on the time of the day. Even the changes in those habits may be interpreted if context is taken into consideration. An adaptive mobile OS is the one that will learn with general user behavior, from the preferences you set, the places where you take your phone out of the pocket, what and how often, for how long, etc. It will also compare those habits to the ones from people around you and everywhere. All of that to anticipate what you need. And any mistake made will be an opportunity for it to learn. Did it suggest the Facebook app to you but you opened WhatsApp instead? It can then check the circumstances and adapt its model to you, so that next time it can make a better guess. Get the full story at VentureBeat