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Digital Revolution’s Winners And Losers — from Information Week by John Foley
Workers with in-demand digital skills benefit most as computers increasingly take over
everyday tasks. In this InformationWeek 500 video, MIT’s Erik Brynjolfsson discusses
how this trend could affect your enterprise.

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From DSC:
I agree with Erik that a large swath of people are being left behind, mainly because of technological changes and the pace of those changes. Again I ask, can you hear the engines roar?  How can we re-train folks to take advantage of the 3+million open jobs out there? How can we reinvent ourselves as quickly as possible?
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The pace has changed -- don't come onto the track in a Model T
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Addendums:
  • Andrew McAfee: Are droids taking our jobs?
    Robots and algorithms are getting good at jobs like building cars, writing articles, translating — jobs that once required a human. So what will we humans do for work? Andrew McAfee walks through recent labor data to say: We ain’t seen nothing yet. But then he steps back to look at big history, and comes up with a surprising and even thrilling view of what comes next.
  • America’s jobs gap: 9 million — from cnn.com by Tami Luhby

Predicting what topics will trend on Twitter — from MIT

Excerpt:

At the Interdisciplinary Workshop on Information and Decision in Social Networks at MIT in November, Associate Professor Devavrat Shah and his student, Stanislav Nikolov, will present a new algorithm that can, with 95 percent accuracy, predict which topics will trend an average of an hour and a half before Twitter’s algorithm puts them on the list — and sometimes as much as four or five hours before.

The algorithm could be of great interest to Twitter, which could charge a premium for ads linked to popular topics, but it also represents a new approach to statistical analysis that could, in theory, apply to any quantity that varies over time: the duration of a bus ride, ticket sales for films, maybe even stock prices.

Like all machine-learning algorithms, Shah and Nikolov’s needs to be “trained”: it combs through data in a sample set — in this case, data about topics that previously did and did not trend — and tries to find meaningful patterns. What distinguishes it is that it’s nonparametric, meaning that it makes no assumptions about the shape of patterns.

In principle, Shah says, the new algorithm could be applied to any sequence of measurements performed at regular intervals. But the correlation between historical data and future events may not always be as clear cut as in the case of Twitter posts. Filtering out all the noise in the historical data might require such enormous training sets that the problem becomes computationally intractable even for a massively distributed program. But if the right subset of training data can be identified, Shah says, “It will work.”

Tagged with:  

Yahoo! and Samsung form multi-year partnership to deliver Interactive TV — from dailyfinance.com by Business Wirevia The Motley Fool
Partnership to provide real-time, enhanced entertainment and advertising to homes across the United States

Excerpt:

SUNNYVALE, Calif. & RIDGEFIELD PARK, N.J.–(BUSINESS WIRE)– Yahoo! (NAS: YHOO) and Samsung today announced an expanded multi-year partnership to integrate Yahoo!’s Broadcast Interactivity platform into Samsung 2012 Smart TVs. Yahoo! Broadcast Interactivity, powered by its automatic content recognition (ACR) technology, SoundPrintTM, will be deployed in Samsung’s SyncPlus platform, enabling new opportunities for intelligent content discovery, advertising and engagement, bringing an unprecedented level of interactivity in the living room.

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From DSC:
Another steps towards:

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

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A fifth of TV sets connected to the Internet by 2016 — from digitaltvresearch.com

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Welcome to Star Scholar U., where a personal brand is the credential — from The Chronicle by By Jeffrey R. Young

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Welcome to Star Scholar U 2

Keri Rasmussen for The Chronicle

Tyler Cowen, an economics professor at George Mason U., helped build an online-education site, Marginal Revolution U, based on a blog he runs with Alex Tabarrok. “In part we did it just to show it could be done—that you can have a Web site which looks nice and works,” Mr. Cowen said.

 

Excerpt:

A new kind of university has begun to emerge: Call it Star Scholar U.

Professors with large followings and technical prowess are breaking off to start their own online institutions, delivering courses with little or no backing from traditional campuses.

Founding a university may sound dramatic, but in an era of easy-to-use online tools it can be done as a side project—akin to blogging or writing a textbook. Soon there could be hundreds of Star Scholar U’s.

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5 perspectives on the future of the human interface — from techcrunch.com by Alex Williams

Excerpt:

The next generation of apps will require developers to think more of the human as the user interface. It will become more about the need to know how an app works while a person stands up or with their arms in the air more so than if they’re sitting down and pressing keys with their fingers.

Also see:

 

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Rethinking carrots: A new method for measuring what players find most rewarding and motivating about your game — from gamasutra.com by Scott Rigby, Richard Ryan

Excerpt:

The Player Experience of Need Satisfaction model (PENS) outlines three basic psychological needs, those of competence, autonomy, and relatedness, that we have demonstrated lie at the heart of the player’s fun, enjoyment, and valuing of games. By collecting players’ reports of how these needs are being satisfied, the PENS model can strongly and significantly predict positive experiential and commercial outcomes, in many cases much more strongly than more traditional measures of fun and enjoyment. And despite the simplicity of the model conceptually, it shows promise as a “unified theory” of the player experience by demonstrating predictive value regardless of genre, platform, or even the individual preferences of players.

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Pearson project will let professors mix free and paid content in e-textbooks — from The Chronicle by Alisha Azevedo

Excerpt:

Pearson, a major textbook publisher, continued its push into digital education on Monday by introducing a service that allows instructors to create e-textbooks using open-access content and Pearson material.

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A river of data — from educationnext.org by Bror Saxberg
Making the learning experience more effective

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How should teaching change in the age of Siri?– from MindShift

Excerpt:

 Short of banning smartphones (a short-term solution, at best), the evolution of artificial intelligence services like Siri means that there will be a shift from a focus on finding the answer as the endpoint to a greater focus on analysis. You have the answer, but so what? What does that answer mean in a real-life situation?

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Degreed launches crowdfunding campaign for reimagined ‘digital diploma’ — from gigaom.com by Ki Mae Heussner
San Francisco startup Degreed is challenging the traditional college diploma with an online service that tracks and scores educational achievements from established institutions as well as new online learning platforms. Ahead of a public launch in 2013, Degreed this week began a crowd funding campaign.

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A capitalist’s dilemma, whoever wins on Tuesday — from the New York Times by Clayton Christensen

Excerpt (emphasis DSC):

In a way, this mirrors the microeconomic paradox explored in my book “The Innovator’s Dilemma,” which shows how successful companies can fail by making the “right” decisions in the wrong situations. America today is in a macroeconomic paradox that we might call the capitalist’s dilemma. Executives, investors and analysts are doing what is right, from their perspective and according to what they’ve been taught. Those doctrines were appropriate to the circumstances when first articulated — when capital[From DSC: or from an educational perspective, we could use the word information] was scarce.

But we’ve never taught our apprentices that when capital is abundant and certain new skills are scarce, the same rules are the wrong rules. Continuing to measure the efficiency of capital prevents investment in empowering innovations that would create the new growth we need because it would drive down their RONA, ROCE and I.R.R.

 

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Gartner sees 821M unit smart device mkt in 2012; 1.2B 2013 — from forbes.com by Eric Savitz

 

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Software is eating marketing — from Inc.com by Jeff Bussgang
One VC argues that software is disrupting several industries in the 21st century, including marketing.
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Computer Code

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Excerpt:

Within the $1 trillion marketing industry, the impact of software eating marketing has now reached the board room.  With the explosion of digital marketing, it is clear that technology is radically transforming the marketing function and the role of the marketing professional.

 

Apple TV and the transformation of web apps into tablet and TV dual screen apps — from brightcove.com by Jeremy Allaire

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Excerpts:

Importantly, designers and developers need to shed the concept that “TVs” are for rendering video, and instead think about “TVs” as large monitors on which they can render applications, content and interactivity that is supported by a touch-based tablet application.

The key concept here is that this pervasive adoption of TV monitors is the tip of the spear in creating a social computing surface in the real world.

Specifically, Apple has provided the backbone for dual screen apps, enabling:

  • Any iOS device (and OSX Mountain Lion-enabled PCs) to broadcast its screen onto a TV. Think of this as essentially a wireless HDMI output to a TV. If you haven’t played with AirPlay mirroring features in iOS and Apple TV, give it a spin, it’s a really exciting development.
  • A set of APIs and an event model for enabling applications to become “dual screen aware” (e.g. to know when a device has a TV screen it can connect to, and to handle rendering information, data and content onto both the touch screen and the TV screen).


[Jeremy listed several applications for these concepts:  Buying a house, buying a car, doctor’s office, kids edutainment, the classroom, retail electronics store, consuming news, consuming video, sales reporting, board games.]

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Also see:

 
From DSC:
Graphically speaking — and approaching this from an educational/learning ecosystems standpoint — I call this, “Learning from the Living [Class] Room.

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The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

 

 

Learning from the living room -- a component of our future learning ecosystems -- by Daniel S. Christian, June 2012

 

 

Related item:

Online Education Grows Up, And For Now, It's Free -- from NPR.org

 

 

From DSC:
Sending a special thanks out to Dr. Kate Byerwalter,
Professor at Grand Rapids Community College for this resource!

 

Also see:

 

IBM working on Watson app for smartphones — from extremetech.com by Sebastian Anthony

Excerpt:

After conquering Jeopardy, battling patent trolls, and chasing down health insurance fraudsters, IBM now plans to bring Watson to smartphones. Watson is an artificial intelligence that is capable of answering very complex questions using natural language answers. In essence, IBM is hoping to build a better, faster, and more professional/enterprisey version of Apple’s Siri, the voice-controlled assistant that debuted on the iPhone 4S.
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IBM Watson

 

Watson, come here: A clue to cancer! — from jumpthecurve.net by Jack Uldrich

Excerpt (emphasis DSC; regarding the video there, I don’t think we can so easily access/create/contain “wisdom”):

Last year, I published my top ten trends in health care. Number Five on the list was “artificial intelligence.” Specifically, I addressed the ability of IBM’s “Watson” supercomputer to revolutionize diagnosis.

Well, the folks at Memorial Sloan-Kettering have now hired Watson. If you’re in the healthcare industry, I can’t encourage you strongly enough to watch the following two-minute video because it points toward the future of cancer diagnosis.

As one of the physicians says in the video, “This is beyond evolutionary, this is revolutionary!” He goes on to add, “This could totally change the way we conduct medicine.”

IBM’s new mainframe aimed at assimilating “private clouds” — from arstechnica.com by
The zEC12 aims to do what “private clouds” do faster, better, and cheaper.
Excerpt:
IBM would like big enterprise customers to reconsider that whole distributed “private cloud” thing and go back to the original big data solution: mainframes. Today, IBM unveiled the zEC12, its next generation of the System Z mainframe platform. And like the Borg, IBM is hoping that companies will let the zEC12 assimilate their virtualization environments into a big, black cube.

 

Active in Cloud, Amazon reshapes computing — from The New York Times by Quentin Hardy

Excerpt:

SEATTLE — Within a few years, Amazon.com’s creative destruction of both traditional book publishing and retailing may be footnotes to the company’s larger and more secretive goal: giving anyone on the planet access to an almost unimaginable amount of computing power.

 

 

From DSC:
Some reflections after reading Tech industry job cuts in first half hit 3-year high — from investors.com by Brian Deagon

Two-three years ago, someone who has spent years working in the Computer Science arena within higher education remarked to me that he was seeing far fewer students pursuing a degree in Computer Science.  You’re kidding me, right?  With all that’s happening in the Internet space, tech-based start-ups, etc…are you serious? No, he wasn’t kidding around.

When I asked him why, he mentioned that many high school counselors/advisors were steering high school students away from such a career path. Why? Because, as the article above points out, it’s too unstable. (No doubt the Dot Com crash added to this sentiment.) IT folks are often susceptible to the ax.

That got me to thinking…at a time when corporations are sitting on a trillion+ dollars, why aren’t we re-training people and/or reinventing ourselves? We lay people off way too quickly…answering only to Wall Street and to its shareholders, but not to the greater good of society at large.  Why do we emphasis STEM so  #@*^ much only to then have students take on debt…only to fire them all too quickly once they finally start earning a living?  Oh…and by the way, don’t expect corporations to help train you much.  They can pick from the 100’s of people who have already been laid off and who had to go out and get the marketable skills on their own dime.

(Even though the Tech industry is far more than programming and establishing/running data centers, I’d wager to say such other types of careers get lumped into CS at times.)

Addendums on 7/16/12:

 

Tagged with:  

The Future of Work
When machines do your job — from  TechnologyReview.com by Antonio Regalado
Researcher Andrew McAfee says advances in computing and artificial intelligence could create a more unequal society.

Excerpt:

Are American workers losing their jobs to machines?

That was the question posed by Race Against the Machine, an influential e-book published last October by MIT business school researchers Erik Brynjolfsson and Andrew McAfee. The pair looked at troubling U.S. employment numbers—which have declined since the recession of 2008-2009 even as economic output has risen—and concluded that computer technology was partly to blame.

Advances in hardware and software mean it’s possible to automate more white-collar jobs, and to do so more quickly than in the past. Think of the airline staffers whose job checking in passengers has been taken by self-service kiosks. While more productivity is a positive, wealth is becoming more concentrated, and more middle-class workers are getting left behind.

Andreessen Horowitz’s $100 million bet on developers — from cnn.money.com

Excerpt:

In simple terms, GitHub is an online repository for developers to store and collaborate on code. It’s been called a “Facebook for geeks.” Managers can also log in and track changes that are made along the software development process. But while GitHub has implications for non-programming needs, it’s mainly a tool for developers. In other words, if you can’t tell code from gibberish it’s probably not on your radar.

GitHub pours energies into enterprise – raises $100 million from power VC Andreessen Horowitz — from techcrunch.com by Alex Williams

Excerpt:

Andreessen Horowitz is investing an eye-popping $100 million into GitHub, the ever popular repository for developers to post code and collaborate.

It’s GitHub’s first infusion of venture capital.Co- founder Tom Preston-Warner said the round will go to developing GitHub Enterprise, a server side version of GitHub.com. Reports state GitHub has been valued at $750 million.

What language should you build your app with? — from Mashable.com by Grace Handy

Excerpt:

Mobile developers across the globe have developed and released more than 650,000 iPhone apps, 400,000 iPad apps, and 600,000 apps for Android. Are you thinking about building an app? A key step in the process is choosing the right programming language, which depends on how scrappy you’re willing to be.

Make sure you’ve researched cross-platform app design and reviewed the common pitfalls of developing your app. Decide on your audience and what platform you’ll use, and then weigh your options to select a language.

Playcraft Labs launches HTML5 dev tools, aiming at games and beyond — from techcrunch.com by Billy Gallagher

playcraft-logo
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Excerpt:

Created by the folks at Chaos Collective, “Space” is an internal project that takes social coding to the next level with a real-time collaborative editor baked right into your browser. Right now, we’ve only seen the tool in use and haven’t played with it ourselves, but boy does it look impressive.

Here’s the interesting part: since Space is an internal project, the creators are trying to decide how to share it with the public. They company is asking if they should open source the entire project, or if they should build, maintain and support it as a full-on service.

Successful businesses will be those that optimize the mix of humans, robots, and algorithms — from nextbigfuture.com by Brian Wang

 Addendum on 7/13/12 — see also:

  • MobileAdvantage from infragistics.com
    “Deliver the most amazing user experiences across mobile devices with the new MobileAdvantage bundle. With toolsets for HTML5, iOS, and Windows Phone, you get every UI control you need to create the most performant, vibrant, and consistent applications for decision makers on the move.”

 

 

Introducing App Cloud Core – Build and Deploy Mobile Apps for Free

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brightcove.com/en/content-app-platform

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Also see:

 

 

Also see:

  • Brightcove PLAY is a global gathering of Brightcove customers, partners and industry leaders at the forefront of the digital media revolution. On June 25-27, hundreds of media companies, marketers and developers from around the world will convene in Boston for three action-packed days of hands-on learning, in-depth strategy sessions, next-generation product demos, all-star keynotes, and networking.

[Report] Developer Economics 2012 – The new app economy – from visionmobile.com

Excerpt:

Here’s just a sample of the key insights and graphs from the report – download the full report for more!

The new pyramid of handset maker competition.
In the new pyramid of handset maker competition, Apple leads innovators, Samsung leads fast-followers, ZTE leads assemblers and Nokia leads the feature phone market. Apple has seized almost three quarters of industry profits by delivering unique product experiences and tightly integrating hardware, software, services and design. Samsung ranks second to Apple in total industry profits. As a fast follower, its recipe for success is to reach market first with each new Android release. It produces its own chipsets and screens – the two most expensive components in the hardware stack – ensuring both profits and first-to-market component availability.

Tablets are now a mainstream screen for developers.
Developers are rapidly responding to the rising popularity of tablets: our Developer Economics 2012 survey found that, irrespective of platform, more than 50% of developers are now targeting tablets, with iOS developers most likely (74%) to do so. This is a massive increase over last year, when just a third of developers (34.5%) reported targeting tablets. On the other end of the spectrum are TVs and game consoles, with fewer than 10% of developers targeting those screens.

Survival of the fittest has played out within 12 months.
Whereas 2011 was the era of developer experimentation, 2012 is shaping up as the era of ecosystem consolidation around iOS and Android. Developer Mindshare is at an all-time-high 76% for Android and 66% for iOS. Darwin’s “survival of the fittest” model explains how BlackBerry, BREW, and Bada (Samsung) have lost Mindshare by failing to compete in terms of user reach, which is by far and consistently the top platform selection criterion for developers. In 2012, developers used on average 2.7 platforms in parallel, vs 3.2 in 2011, a clear sign of consolidation. The trend is further evidenced by declining IntentShare scores for most platforms – apart from mobile web and Windows Phone.

The Secret Life of Data in the Year 2020– from The World Future Society by Brian David Johnson, a futurist at Intel Corporation, where he is developing an actionable vision for computing in 2020.

Excerpt:

Why will most people think that their data has a life of its own? Well, because it’s true. We will have algorithms talking to algorithms, machines talking to machines, machines talking to algorithms, sensors and cameras gathering data, and computational power crunching through that data, then handing it off to more algorithms and machines. It will be a rich and secret life separate from us and for me incredibly fascinating.

But as we begin to build the Secret Life of Data, we must always remember that data is meaningless all by itself. The 1s and 0s are useless and meaningless on their own. Data is only useful and indeed powerful when it comes into contact with people.

This brings up some interesting questions and fascinating problems to be solved from an engineering standpoint. When we are architecting these algorithms, when we are designing these systems, how do we make sure they have an understanding of what it means to be human? The people writing these algorithms must have an understanding of what people will do with that data. How will it fit into their lives? How will it affect their daily routine? How will it make their lives better?

Also see:

Preview of Future Inventions—Futurists: BetaLaunch 2012 — from The World Future Society by Kenneth J. Moore
The World Future Society’s second annual innovation competition will allow WorldFuture 2012 attendees to preview a few of the life-changing and society-altering artifacts of the future.

© 2025 | Daniel Christian