3 Disruptive Trends In 2015: IoT Leads List - InformationWeek

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Data Management // Big Data Analytics
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Michael Hay
Michael Hay
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3 Disruptive Trends In 2015: IoT Leads List

The Internet of Things, big data, and software-defined data centers will begin to drive real value for business -- and the public at large -- in 2015.

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The Internet of Things (IoT), big data, and software-defined everything dominated IT news in 2014. As we look forward to 2015, I predict the IT industry will build on these trends, increasing innovation across industries and forcing established companies to compete with emerging startups.

In 2015, new iterations of these disruptive technologies will be decidedly different than what we've seen in the past, but they'll all bend toward the same goal: serving the business and the end user.

Internet of Things that matter
2014 was the year where we talked about the Internet of Things. 2015 will be the year we experience the "Internet of Things That Matter."

Trends like the quantified self and smart cities are indicative of a world where sensored systems, places, and people generate copious amounts of data. That data should now be used to inform decisions and create safer and more sustainable organizations and cities.

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When raw data is coupled with advanced analytics and IT, remarkable things are possible -- and not just for business, but for society at large. At Hitachi Data Systems we've named this phenomenon Social Innovation, and we think it will enter the market significantly in 2015.

One example is public safety, where cameras and sensors can be used in conjunction with other data sources. Analysis of this data can improve situational awareness for high-profile public gatherings, such as major sports events or the inauguration of the next president.

We're already seeing such systems beginning to be used by law enforcement in various cities, as well as regional government organizations, such as the Washington Metropolitan Police Department and the New York Waterway.

The promise of Social Innovation will be realized via select verticals, where deep knowledge and information systems intersect to provide real value.

More data, more engines
As we gather more and diverse information and look for ways to meet end-user needs with all of it, I predict increased consumption of many types of analytic data engines, including stream processors, key-value stores, data-blending systems, in-memory databases, and data-visualization studios.

(Source: Yoel Ben-Avraham/Flickr)
(Source: Yoel Ben-Avraham/Flickr)

As organizations bring in more data engines, application implementers will iteratively "wire together" a variety of engines to create new applications. One facet of these new applications will be to account for and encode the natural flow of data, thus allowing for use of minimum viable infrastructures.

For example, if there is a significant mass of data in a remote location, don't move the data to a central location for processing. Instead, implement the engines close to the mass of data to minimize network use.

Complementing the variety of engines is a need for IT organizations to begin large-scale deployments of on-premises cloud infrastructures via converged and hyper-converged systems.

The converged (scale-up) and hyper-converged (scale-out) archetypes allow IT organizations to add DevOps/Agile IT practices that let application implementers directly or programmatically compose new applications iteratively and on demand.

Software-defined everything
There is a lot of interest in all things software-defined, especially the software-defined data center (SDDC). I believe in 2015 the market will move away from trying to define what constitutes an SDDC and toward tangible business goals made possible by SDDCs.

For example, an SDDC that uses RESTful APIs and application service catalogues, coupled with converged and hyper-converged systems, will let technology-savvy business users provision and manage software elements themselves without having to bother IT practitioners and leaders.

This allows IT practitioners to focus on managing "fleets" of converged and hyper-converged systems without bothering the application development and business teams.

The real win here is a return on productivity, which is made possible by virtualized assets that shield application developers in business teams from the details of the underlying platforms.

2015 will be an exciting year in tech as enterprises and organizations look for new ways to improve productivity, safety, and sustainability. Do you agree with our forecast? What tech do you think will be important next year?

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As Vice President of Product Planning at Hitachi Data Systems and Chief Engineer at the Information Technology Platform Division (ITPD), Michael Hay leads a global team of thinkers who contemplate and help enact the future of Hitachi's expanding IT portfolio. He engages a ... View Full Bio
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User Rank: Apprentice
12/8/2014 | 9:59:51 PM
Re: How does VDI fit in?
Let me begin by asking another question: What is the intersection of VDI and mobile devices?  I asked this question to a company at VMWorld and there wasn't a clear answer on their mobile strategy.  

Essentially my thinking goes: If mobile devices will become where we experience the integration and visualization of data -- in other words the data is following a personal model -- the point of integration is on the edge with the user.  Does VDI have a role to play here given that it could introduce latencies resulting poor user performance?  I don't think so; it is potentially far better that the points of integration occur on the mobile edge with the user.

Pointedly, VDI isn't a panacea for everything as we've the past several years discerning it is tool which has to match a business problem with an RoI to be deployed.

Many of the same challenges, VDI focuses on, can be solved by streaming applications and data or portions of them to a mobile device.  I think that Citrix is doing some interesting work here, that is the intersection of VDI and mobile that is worth taking a look at.

So to answer your question, given that mobile experiences are the likely place for Big Data/IoT control and access, at least at a personal level, I would say that VDI won't have a major alignment here.  Given a NOC style environment and large displays that can afford MAN/LAN distances and associated latencies the need for VDI is easier to grok.  In other words where there is little user interaction VDI and user performance latencies are tolerable then VDI is a solid option...

User Rank: Apprentice
12/8/2014 | 9:12:41 PM
Re: The Internet of Things' Data
Thanks for your question.  I think that given your last point, data usage plans, this will insert an interesting wrinkle into how we process, transport and persist data.  My informed gut tells me that 3G may very well be the preferred type of connectivity at the edge for IoT.  Given this point it suggests we need to move processing out to the edge to minimize the relatively narrow WAN/3G GSM bandwidths.  

The results are sneakernet-like behaviors of shipping data back to central locations.  I already konw that Oil and Gas companies, as well as portions of various Governments take this approach already.  Perhaps FedEx, UPS, Kuro Neko (Japan version of UPS), DHL, etc. have roles to play here and maybe the idea of data logistics will become something we contend with.
User Rank: Ninja
12/8/2014 | 3:36:03 PM
The Internet of Things' Data
With the road to adoption underway for IoT, I wonder how we will deal with all the data stores that will be required to house and ideally process all this connected data.  The real task will be figuring out what kinds of data will be meaningful versus just noise traffic that seems to come from these devices.  Not to mention how this will affect things like data usage plans moving forward.
User Rank: Strategist
12/8/2014 | 1:32:14 PM
How does VDI fit in?
I think it's interesting that pundits and analysts said that 2014 was going to be the year of VDI and it wasn't on this list -- especially as all of the above positively impact the technology. We want to be able to access data (and big data analysis) wherever and whenever we want and VDI lets us do that. VDI clearly fits right in with the IoT. 

How do you think VDI fits in next year and, if it doesn't, why not? 

--KB Me: bit.ly/1weHA0R
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