Gigaom has been a wonderful experience, but the end was unexpected and bitter. Apart from fame and fortune and everything that goes with it however, the most important things that i got out of this were not things: it was  the people i worked with and the way of working with them, both of which were just awesome. I don’t really have to say much about this, that is what made Gigaom great and the fact that these people are still around in top organizations and continue to deliver great work speaks for itself.

VisionMobile has been collecting, analyzing and interpreting developer data for the last decade. That data is used to identify and provide insights into trends in application development and the way software influences and is influenced by technology and the economy worldwide.

The basic premise here is that developers are the new kingmakers, something for which the case has been made pretty clear by  the evolution of the mobile ecosystem, among others. This is where VisionMobile started out, although now it addition it covers developers in Desktop, Cloud and IoT as well, with AR/VR soon to follow.

You may think this is somewhat of a departure from the data theme that Linked Data Orchestration has been associated with..and you’ll be justified to think so, but only to some extent. For someone with a background in software development, research, analysis, and data, it’s not that much of a stretch really.

More like an opportunity waiting to knock on your door – and that’s kind of how it all started. The fact that VisionMobile’s core team is located in Athens also helped, so one thing lead to another and i am now working with VisionMobile.

The report is set for publication in the coming days and will be freely accessible as always, so i will not spoil it till then..but i can give away a little teaser. One of the things that are featured for the first time in this SoN is the overlap between developer involvement in the 4 main development areas (Desktop, Mobile, Cloud and IoT).

Trust me, it’s worth the wait..but that’s not all. There are more interesting insights to be extracted from the SoN, and even more goodies on the way, including -drum roll- a special on Machine Learning. Stay tuned, and watch this space. It’s a different way of doing research, where analysis is built on a solid data foundation, access to the primary data is part of the offering, and ‘big’ does not only apply to the data, but to the impact as well.

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