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CES 2015: Big Data A Quiet Star

Big data is the underlying big story at CES 2015, as we see a flood of Internet-connected devices loaded with data sensors.

CES 2015 Preview: 8 Hot Trends
CES 2015 Preview: 8 Hot Trends
(Click image for larger view and slideshow.)

At first glance the consumer electronic industry's annual gadget fest might not seem to have a lot in common with big data. After all, what does CES have to do with the obscure world of collecting, organizing, and analyzing vast streams of numbers?

But CES 2015 is all about big data -- if indirectly -- because this year's overarching theme is the convergence of gadgets, sensors, and wireless networks into the Internet of Things (or, if you prefer, the Internet of Everything). In short, it's about packing consumer gadgets with sensors, connecting these devices to the Internet, and analyzing the data they generate.  

In a Sunday pre-show presentation, the Consumer Electronics Association's chief economist Shawn Dubravac outlined how falling costs of key technologies, including a mix of low-cost sensors, digital cameras, 3D printers, drones, and wireless network protocols, are coming together to enable information-sharing on an epic scale, something not feasible a few years ago.

[Smartphones are great, but they could be better. Read 5 Smartphone Wishes For 2015.]

This "Internet of Me," as Dubravac calls it, is the "third stage of the Internet" where 50 billion connected devices come online, he says. By comparison, there are about 2 billion Internet-connected smartphones today.

This explosion of data-sharing devices presents many challenges, of course, particularly those involving potentially sensitive medical data culled from health-oriented wearables and sensors.  In addition to unresolved security and privacy issues, there's the thorny question of who owns the data generated by these devices

In his new book, Digital Destiny: How the New Age of Data Will Transform the Way We Work, Live, and Communicate (Regnery Publishing, 2015), Dubravac details the driving forces behind the Internet of Things. In chapter 4, "The Sensorization of Objects," he explains how the commoditization of low-cost sensors is a major catalyst.

Connected cars are just one vehicle for big data. (Image: 2014 Toyota exhibit, Consumer Electronics Association.)
Connected cars are just one vehicle for big data. (Image: 2014 Toyota exhibit, Consumer Electronics Association.)

Take your smartphone. It has between five and nine sensors inside, depending on the model, writes Dubravac. Hidden inside are a barometer, magnetometer, gyroscope, accelerometer, motion coprocessor, and sensors that measure temperature, humidity, ambient light, proximity, and sound.

"How much do you think all that high tech costs? The costs of all the sensors add up to under $5. Some obviously are more expensive than others, but the cheapest can be bought for as little as $0.07," Dubravac writes.

In other words, it's now dirt-cheap to embed sensors. The result is a variety of IoT-enabled consumer devices, including basketballs, weight scales, pacifiers, and even crockpots.    

The IoT revolution is an example of what Dubravac calls "fragmented innovation," one where the  economics of cheap technology has enabled data sharing to migrate from mass-market digital devices -- primarily PCs, smartphones, tablets -- to a growing assortment of products in highly fragmented consumer, business, and industrial markets.

Dubravac, in his CES speech, listed several big data questions for 2015, including:

-- What should we digitize next?

-- How should we provide connectivity to these devices?

-- Where should we embed and deploy sensors?

Trial and error will likely provide much of the guidance here, as manufacturers learn from the inevitable failures that come with early adoption of new technologies.

So what's really promising?

Driverless cars will be one of the IoT's most successful efforts, making their first appearance in cities within 10 years, predicts Dubravac. Connected vehicles will bring "a significant, if not total, decline of traffic and gridlock. Cars will move in unison with each other. As the human element is removed, so too are many of the barriers between data and decision," he writes.

Data collection on a massive scale is kind of cool, but it also begs the question: Once all of this information is digitized, processed, and analyzed, how does it help us?

Apply now for the 2015 InformationWeek Elite 100, which recognizes the most innovative users of technology to advance a company's business goals. Winners will be recognized at the InformationWeek Conference, April 27-28, 2015, at the Mandalay Bay in Las Vegas. Application period ends Jan. 16, 2015.

Jeff Bertolucci is a technology journalist in Los Angeles who writes mostly for Kiplinger's Personal Finance, The Saturday Evening Post, and InformationWeek. View Full Bio

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Data Pathfinders
Data Pathfinders,
User Rank: Apprentice
1/8/2015 | 8:58:32 AM
Big Data will just become Data
Great article about LinkedData in the consumer arena, it wont be long before the recently created Big Data term (trending madly at the moment on the web) will just turn into just Data, everything is about to become Big Data. As new analytics platforms like HP Vertica evolove (no I dont work for HP I work for DataPathfindersdotcom) and process broncobytes in seconds we won't need to worry about whether data is big or not.

A lot of people said to me that Big Data and Business Intelligence vendors would not be at CES2015, I bet they are next year.
User Rank: Ninja
1/6/2015 | 3:27:17 PM
Re: Driverless Vehicles (not cars)
I'm torn on this.  While I love the idea of new technology helping enable consumers, such as self-driving cars for folks who may not be able to drive, or who just absolutely loathe driving and for some reason public transit isn't cutting it for them.  That being said, do we need to embed everything for the sake of it, just to ride the IoT trend...probably not.  I think the industry really needs to think about where connectivity will make a positive impact, think health, education, infrastructure.  Those are great markets to deliver viable change through connectivity. Connectivity for the sake of connectivity?  All i fear is the clogging of our data pipes with useless information that provides really no benefit for anyone.  Analytics that come from these devices could be a way to innovate for so many industries, we just have to I think ask ourselves what is the real, tangible benefit of the data that comes from connecting devices and infrastructure and honestly, do we really expect to do anything with it.
User Rank: Apprentice
1/6/2015 | 12:27:37 PM
Driverless Vehicles (not cars)
I don't believe private passenger driverless cars will be the first use of the technology Google and others are developing for driverless vehicles.

I enjoy driving my car and when I purchase a new auto I will NOT be willing to pay a large premium to get a car that will drive me to work everyday.  The market for driverless cars might be people living in congested cities, but these people already have mass transit options which are less expensive than driverless cars.

However as I drove home from work yesterday I saw a billboard advertising for long haul truckers who could make $40,000 to start.  Driverless long distance trucks offer many advantages; virtually no labor costs (save $40,000 +), quicker delivery since there will be no required rest periods, and improved safety.  That plus these jobs currently go unfilled since they are either not desirable (very few people want to be away from home 250 + days a year) and some applicants fail either drug and/or saftey violation tests.

Another driverless possibility is taxis, but here the marketplace is already changing and becoming very competitive due to Uber and similar vendors, so the increased fixed capital costs of driverless cars makes this potential market more difficult to penetrate.

D. Henschen
D. Henschen,
User Rank: Author
1/6/2015 | 12:25:13 PM
How does the data help us?
The concluding question -- how does the data help us -- should be the starting point for big data exploration in 2015. It's time to get over the scale and variety of the data already out there and our ability to embed sensors and gather yet more data. Now's the time to identify real business benefits and to lead with that story.
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