Welcome!

CMS Authors: Mehdi Daoudi, Rishi Bhargava, Harry Trott, Xenia von Wedel, Carmen Gonzalez

Related Topics: CMS, Java IoT, Linux Containers

CMS: Blog Feed Post

Barbie the Coder

The big news last week was the latest “occupation” for Barbie is a computer engineer

So the big news last week was the latest “occupation” for Barbie is a computer engineer, whatever that means (I guess let the perennial hardware versus software debates begin). Maybe it is time to retire that “math class is hard” speech chip once and for all and replace it with some often-used Linux shell commands. Or maybe this should be a lesson for our daughters: persevere past the polynomials, and you too can code. Or design circuits.

Personally, I am glad to seek Geek Barbie, with her hot pink netbook and matching Bluetooth headset. (And what is up with all the different Bluetooth headsets on 24, anyway? Didn’t anyone at CTU’s IT department get involved?) It is about time. We need role models wherever we can find them in the popular culture. And while you might have issues with Barbie’s unrealistic and unobtainable, ahem, dimensions, the fact remains that she has paved the way. Just take a look at the history books:

Barbie joined NASCAR twelve years ago, now we have that hot GoDaddy babe Danica Patrick racing at Daytona this past weekend. And as an astronaut in 1965, she was certainly ahead of Sally Ride nearly two decades later, who incidentally was at Stanford just before my time there. She has already run for President, twice. And last year she came with her own tramp stamp, what could be more hip than that? So she is a bit behind the times in the tattoo department.

Back when I went to college and grad school, in those dark pre-PC days of the 1970s, we didn’t have any girls, let alone ones that looked like Barbie, in the nerd classes. In my dorm at Stanford, it was 297 guys, 3 gals. This was the fabled Crothers Memorial engineering dorm – the dorm that played such a significant role in the early PC era that a Silicon Valley company was named after it (Cromemco Computers). I mean, how pathetic and nerdy can that be? But I digress.

I realize that the male/female engineering mix is changing – at the recent iPhone app dev class that I attended, there were two women out of a class of 20. This semester the breakdown is 4 out of a class of 45. Still not great. So how can we get more women into the computing field? Certainly not by offering hot pink computer cases, although there is something to be said for that.

I think it goes back to elementary school, where we need to encourage basic math and analytical thinking for girls early on. People that turn into great engineers love to take things apart and put them back together and have a natural curiosity about how the world works. I remember when my brother and I were growing up, we were constantly breaking stuff (the difference was my brother could actually fix things (who went on to become a EE) doing this all the time. Let’s destigmatize girls doing this. Barbie is a great first step.

Read the original blog entry...

More Stories By David Strom

David Strom is an international authority on network and Internet technologies. He has written extensively on the topic for 20 years for a wide variety of print publications and websites, such as The New York Times, TechTarget.com, PC Week/eWeek, Internet.com, Network World, Infoworld, Computerworld, Small Business Computing, Communications Week, Windows Sources, c|net and news.com, Web Review, Tom's Hardware, EETimes, and many others.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...