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:
- 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.
- 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.
- 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!
- 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.
- 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.
- 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?
- 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…
Tags: ai, AllSeen, big data analytics, Cloud Computing, cognitive computing, cyberspace, Fog computing, hypervisor, Inner Source, internet of things, IoT, meatspace, NFV, Open, open source, opendaylight, OpenStack, privacy, qCraft, robotics, SDN, security, transparency, virtualization
The holiday season which began with Cyber Monday on December 2nd 2013 has just ended and analyzing the impact on mobile commerce sales and location based services unveils some very interesting trends.
Firstly, at the macro level:
- Online shopping increased in the USA in 2013 by over 16% compared to 2012.
- From a mobility perspective, almost a third of all online sales (29%) were made from Smartphones or Tablets.
Clearly there are changes in the online marketplace, but in order to examine this a little further, let’s look at a few key questions to help understand what is happening in this marketplace:
- What are the major trends?
- Is mobile commerce just a US phenomenon?
- What impact does location based services have?
- Where are the main benefits coming from analytics?
- How is privacy fitting in to all this and how is the attitude of mobile consumers evolving?
Trends 2013: Read More »
Tags: analytics, Android, Cyber Monday, ecommerce, IOS, iphone, lbs, location, location based services, location-based, mcommerce, mobile, mobile commerce, mobile consumers, mobile device, mobile traffic, mobility, NRF, online shopping, privacy, smartphone, trends, wi-fi, wifi, wireless
On a typical day, we leave a vast trail of data in our wake. Our browsing histories, online preferences, shopping habits, work decisions, social interactions—all are rendered in binary code, prompting a complex interaction of requests, responses, affirmations, and denials.
And that’s just from our laptops and smartphones.
What about when the Internet of Everything — with its explosion in connectivity from 10 billion “things” today to 50 billion in 2020 — truly shifts into overdrive? At that point, our clothing, our houses, our cars, our lawns, and our refrigerators may be generating ever-larger torrents of data — all about us.
This upsurge in personal Big Data has big implications. Indeed, each person’s emerging digital persona will go a long way toward defining their place in the world. Furthermore, all of that data already has great intrinsic value to Internet giants, retailers, financial services companies, and many others. If we manage it right — in what I see as a burgeoning Marketplace of Me — some of that value may come right back to us.
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Tags: Big Data, Cisco, Cisco Consulting Services, innovation, Internet of Everything, IoE, IoE Value Index, IoT, privacy, security, value at stake
Most everyone has heard the phrase, “There’s no such thing as a free lunch,” a phrase referencing the fact that everything has a cost and if you’re not paying for it, someone else is. In the US today, the largest age group in our population is comprised of Baby Boomers (people born between 1946 & 1964) and that group is putting a significant strain on our healthcare system just because of the number of people and median age in this category.
That strain, in combination with the current economic climate and Medicare’s general lack of resources has produced a recipe for disaster. If the government wishes to provide healthcare to a growing number of people with increasingly limited resources, the government will have to cut back on healthcare costs elsewhere, which will likely compromise the quality of healthcare offered and/or the number of people subsidized healthcare is offered to. This post isn’t meant to be a sob story – there are a ton of technologies, both current and in-development, capable of picking up some of the slack. The real question is, are we willing to pay the price?
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Tags: 3D sensors, biometric, hc, healthcare, IoE, medicare, MotoX, privacy, Xbox
Next in this 9 HIPAA Network Considerations blog series, I cover the third network consideration focusing on knowing where your PHI is. Remember, the HIPAA Omnibus Rule was released January 23, 2013, became effective March 26, 2013 with compliance to the updates se for September 23, 2013. Audits will also start up again for covered entities and business associates in late 2013 or early 2014.
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Tags: byod, healthcare, HIPAA, PCI Compliance, privacy, security