Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Jonathan Feldman

Jonathan Feldman

Contributing Editor

Is Open Source Hardware IT's Next Big Thing?

Open source hardware isn't just for hobbyists. Early corporate adopters can reap business benefits.

Those of us with gray hair remember when mainstream companies viewed open source software with extreme skepticism--that is, until it became apparent that the Internet backbone was running reliably on OSS. Now attention is turning to open source hardware.

Open source hardware? Really?

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Really.

If you've been following the Maker Movement, you're already in the loop. Just as many open source iterations and eyes changed the face of software, so it will go with hardware. Want to build a USB battery charger out of a mint container and other widely available components? Limor Fried (aka Lady Ada) to the rescue, with her "minty boost" USB charger.

Surely this movement is for hobbyists only, right? You don't want to fork out $50 for a USB battery charger, so you fork out $20 for the kit and work on it with your buddies over the weekend.

[ As you build your own hardware, take on another job also. Read The CIO Wears Two Hats: Isn't IT Enough? ]

Well, there's a larger world out there. Like open source software, open source hardware started among hobbyists and will make its way into the corporation.

I chatted recently with Travis Good, co-chair of this week's Hardware Innovation Workshop, about several companies that are making money with open source hardware, including SparkFun Electronics and Fried's Adafruit Industries.

When you manufacture something based on open source, you don't make money on the intellectual property. Open source hardware isn't a business model, says SparkFun CEO Nathan Seidle; it's a business driver. It's about "enabling companies to move faster and be more pliable than ever," he says. If that's not a familiar battle cry to business and IT leaders, I don't know what is.

IT exists to provide technology services to advance business goals. If your business creates kiosks, vending machines, vehicles, or other types of consumer hardware, my money is on IT contributing massively to cutting costs and increasing speed of deployment.

Maybe that means IT organizations becoming aware of open source designs and assisting product engineering and manufacturing with integration into real-time business systems. Maybe it means working with a subcontractor. Open source hardware won't be good for everything, but it will be fantastic for certain things.

Global CIO
Global CIOs: A Site Just For You
Visit InformationWeek's Global CIO -- our online community and information resource for CIOs operating in the global economy.

Except, organizations that don't have massive hardware prototyping facilities can't play in this space, right?

Wrong.

In the same way that you can join a health club and reap the personal benefits without buying $100,000 worth of weight machines, you can also join a rapid prototyping club. TechShop, for example, offers many fabrication options, including "milling machines and lathes, welding stations and a CNC plasma cutter, sheet metal working equipment, drill presses and band saws, industrial sewing machines, hand tools, plastic and wood working equipment including a 4' x 8' ShopBot CNC router, electronics design and fabrication facilities, Epilog laser cutters, tubing and metal bending machines, a Dimension SST 3-D printer, electrical supplies and tools."

The value of the open source hardware movement hasn't gone unnoticed by Ford Motor Co., which offers TechShop memberships to employees. The Open XC platform that lets developers create phone apps to interact with Ford vehicles is based on Bug Labs, an open source hardware platform.

Open source hardware isn't just the purview of engineers in product development labs. It can apply just as much to IT pros.

Your peer at SparkFun, IT director Chris Clark, summed it up well in a recent email conversation: "All the money we were saving by not investing thousands in expensive proprietary software and systems for our infrastructure could be funneled into hiring better people to build that infrastructure for us using open source platforms and combining open source utilities to not only do the job but do it in a heavily customized way that gave us the flexibility we needed." As open source software and hardware start to converge, expect the hardware for things like telemetry, credit card reading, and vending--perhaps even network routing--to become much less expensive and proprietary.

Open source hardware becomes more attractive to CIOs as hardware platforms become more closed, as walled gardens spring up on all kinds of platforms, and as questions about who really owns the hardware and whether it's legal to jailbreak or repurpose hardware arise.

But open source hardware, like open source software, is going to help only those CIOs who have an open mind.

Jonathan Feldman is a contributing editor for InformationWeek and director of IT services for a rapidly growing city in North Carolina. Write to him at jf@feldman.org or at @_jfeldman.

The Enterprise 2.0 Conference brings together industry thought leaders to explore the latest innovations in enterprise social software, analytics, and big data tools and technologies. Learn how your business can harness these tools to improve internal business processes and create operational efficiencies. It happens in Boston, June 18-21. Register today!



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.