January 21, 2014 Leave a Comment
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My Top 7 Predictions for Open Source in 2014

My 2014 predictions are finally complete.  If Open Source equals collaboration or credibility, 2013 has been nothing short of spectacular.  As an eternal optimist, I believe 2014 will be even better:

  1. Big data’s biggest play will be in meatspace, not cyberspace.  There is just so much data we produce and give away, great opportunity for analytics in the real world.
  2. Privacy and security will become ever more important, particularly using Open Source, not closed. Paradoxically, this is actually good news as Open Source shows us again, transparency wins and just as we see in biological systems, the most robust mechanisms do so with fewer secrets than we think.
  3. The rise of “fog” computing as a consequence of the Internet of Things (IoT) will unfortunately be driven by fashion for now (wearable computers), it will make us think again what have we done to give up our data and start reading #1 and #2 above with a different and more open mind. Again!
  4. Virtualization will enter the biggest year yet in networking.  Just like the hypervisor rode Moore’s Law in server virtualization and found a neat application in #2 above, a different breed of projects like OpenDaylight will emerge. But the drama is a bit more challenging because the network scales very differently than CPU and memory, it is a much more challenging problem. Thus, networking vendors embracing Open Source may fare well.
  5. Those that didn’t quite “get” Open Source as the ultimate development model will re-discover it as Inner Source (ACM, April 1999), as the only long-term viable development model.  Or so they think, as the glamor of new-style Open Source projects (OpenStack, OpenDaylight, AllSeen) with big budgets, big marketing, big drama, may in fact be too seductive.  Only those that truly understand the two key things that make an Open Source project successful will endure.
  6. AI recently morphed will make a comeback, not just robotics, but something different AI did not anticipate a generation ago, something one calls cognitive computing, perhaps indeed the third era in computing!  The story of Watson going beyond obliterating Jeopardy contestants, looking to open up and find commercial applications, is a truly remarkable thing to observe in our lifespan.  This may in fact be a much more noble use of big data analytics (and other key Open Source projects) than #1 above. But can it exist without it?
  7. Finally, Gen Z developers discover Open Source and embrace it just like their Millennials (Gen Y) predecessors. The level of sophistication and interaction rises and projects ranging from Bitcoin to qCraft become intriguing, presenting a different kind of challenge.  More importantly, the previous generation can now begin to relax knowing the gap is closing, the ultimate development model is in good hands, and can begin to give back more than ever before. Ah, the beauty of Open Source…