Training the workforce of the future: Education in America will need to adapt to prepare students for the next generation of jobs – including ‘data trash engineer’ and ‘head of machine personality design’– from dailymail.co.uk by Valerie Bauman

Excerpts:

  • Careers that used to safely dodge the high-tech bullet will soon require at least a basic grasp of things like web design, computer programming and robotics – presenting a new challenge for colleges and universities
  • A projected 85 percent of the jobs that today’s college students will have in 2030 haven’t been invented yet
  • The coming high-tech changes are expected to touch a wider variety of career paths than ever before
  • Many experts say American universities aren’t ready for the change because the high-tech skills most workers will need are currently focused just on people specializing in science, technology, engineering and math

.

 

 

The five most important new jobs in AI, according to KPMG — from qz.com by Cassie Werber

Excerpt:

Perhaps as a counter to the panic that artificial intelligence will destroy jobs, consulting firm KPMG published a list (on 1/8/19) of what it predicts will soon become the five most sought-after AI roles. The predictions are based on the company’s own projects and those on which it advises. They are:

  • AI Architect – Responsible for working out where AI can help a business, measuring performance and—crucially— “sustaining the AI model over time.” Lack of architects “is a big reason why companies cannot successfully sustain AI initiatives,” KMPG notes.
  • AI Product Manager – Liaises between teams, making sure ideas can be implemented, especially at scale. Works closely with architects, and with human resources departments to make sure humans and machines can all work effectively.
  • Data Scientist – Manages the huge amounts of available data and designs algorithms to make it meaningful.
  • AI Technology Software Engineer – “One of the biggest problems facing businesses is getting AI from pilot phase to scalable deployment,” KMPG writes. Software engineers need to be able both to build scalable technology and understand how AI actually works.
  • AI Ethicist – AI presents a host of ethical challenges which will continue to unfold as the technology develops. Creating guidelines and ensuring they’re upheld will increasingly become a full-time job.

 

While it’s all very well to list the jobs people should be training and hiring for, it’s another matter to actually create a pipeline of people ready to enter those roles. Brad Fisher, KPMG’s US lead on data and analytics and the lead author of the predictions, tells Quartz there aren’t enough people getting ready for these roles.

 

Fisher has a steer for those who are eyeing AI jobs but have yet to choose an academic path: business process skills can be “trained,” he said, but “there is no substitute for the deep technical skillsets, such as mathematics, econometrics, or computer science, which would prepare someone to be a data scientist or a big-data software engineer.”

 

From DSC:
I don’t think institutions of higher education (as well as several other types of institutions in our society) are recognizing that the pace of technological change has changed, and that there are significant ramifications to those changes upon society. And if these institutions have picked up on it, you can hardly tell. We simply aren’t used to this pace of change.

Technologies change quickly. People change slowly. And, by the way, that is not a comment on how old someone is…change is hard at almost any age.

 

 

 

 

 

 

Presentation Translator for PowerPoint — from Microsoft (emphasis below from DSC:)

Presentation Translator breaks down the language barrier by allowing users to offer live, subtitled presentations straight from PowerPoint. As you speak, the add-in powered by the Microsoft Translator live feature, allows you to display subtitles directly on your PowerPoint presentation in any one of more than 60 supported text languages. This feature can also be used for audiences who are deaf or hard of hearing.

 

Additionally, up to 100 audience members in the room can follow along with the presentation in their own language, including the speaker’s language, on their phone, tablet or computer.

 

From DSC:
Up to 100 audience members in the room can follow along with the presentation in their own language! Wow!

Are you thinking what I’m thinking?! If this could also address learners and/or employees outside the room as well, this could be an incredibly powerful piece of a next generation, global learning platform! 

Automatic translation with subtitles — per the learner’s or employee’s primary language setting as established in their cloud-based learner profile. Though this posting is not about blockchain, the idea of a cloud-based learner profile reminds me of the following graphic I created in January 2017.

A couple of relevant quotes here:

A number of players and factors are changing the field. Georgia Institute of Technology calls it “at-scale” learning; others call it the “mega-university” — whatever you call it, this is the advent of the very large, 100,000-plus-student-scale online provider. Coursera, edX, Udacity and FutureLearn (U.K.) are among the largest providers. But individual universities such as Southern New Hampshire, Arizona State and Georgia Tech are approaching the “at-scale” mark as well. One could say that’s evidence of success in online learning. And without question it is.

But, with highly reputable programs at this scale and tuition rates at half or below the going rate for regional and state universities, the impact is rippling through higher ed. Georgia Tech’s top 10-ranked computer science master’s with a total expense of less than $10,000 has drawn more than 10,000 qualified majors. That has an impact on the enrollment at scores of online computer science master’s programs offered elsewhere. The overall online enrollment is up, but it is disproportionately centered in affordable scaled programs, draining students from the more expensive, smaller programs at individual universities. The dominoes fall as more and more high-quality at-scale programs proliferate.

— Ray Schroeder

 

 

Education goes omnichannel. In today’s connected world, consumers expect to have anything they want available at their fingertips, and education is no different. Workers expect to be able to learn on-demand, getting the skills and knowledge they need in that moment, to be able to apply it as soon as possible. Moving fluidly between working and learning, without having to take time off to go to – or back to – school will become non-negotiable.

Anant Agarwal

 

From DSC:
Is there major change/disruption ahead? Could be…for many, it can’t come soon enough.

 

 

Big tech may look troubled, but it’s just getting started — from nytimes.com by David Streitfeld

Excerpt:

SAN JOSE, Calif. — Silicon Valley ended 2018 somewhere it had never been: embattled.

Lawmakers across the political spectrum say Big Tech, for so long the exalted embodiment of American genius, has too much power. Once seen as a force for making our lives better and our brains smarter, tech is now accused of inflaming, radicalizing, dumbing down and squeezing the masses. Tech company stocks have been pummeled from their highs. Regulation looms. Even tech executives are calling for it.

The expansion underlines the dizzying truth of Big Tech: It is barely getting started.

 

“For all intents and purposes, we’re only 35 years into a 75- or 80-year process of moving from analog to digital,” said Tim Bajarin, a longtime tech consultant to companies including Apple, IBM and Microsoft. “The image of Silicon Valley as Nirvana has certainly taken a hit, but the reality is that we the consumers are constantly voting for them.”

 

Big Tech needs to be regulated, many are beginning to argue, and yet there are worries about giving that power to the government.

Which leaves regulation up to the companies themselves, always a dubious proposition.

 

 

 

The world is changing. Here’s how companies must adapt. — from weforum.org by Joe Kaeser, President and Chief Executive Officer, Siemens AG

Excerpts (emphasis DSC):

Although we have only seen the beginning, one thing is already clear: the Fourth Industrial Revolution is the greatest transformation human civilization has ever known. As far-reaching as the previous industrial revolutions were, they never set free such enormous transformative power.

The Fourth Industrial Revolution is transforming practically every human activity...its scope, speed and reach are unprecedented.

Enormous power (Insert from DSC: What I was trying to get at here) entails enormous risk. Yes, the stakes are high. 

 

“And make no mistake about it: we are now writing the code that will shape our collective future.” CEO of Siemens AG

 

 

Contrary to Milton Friedman’s maxim, the business of business should not just be business. Shareholder value alone should not be the yardstick. Instead, we should make stakeholder value, or better yet, social value, the benchmark for a company’s performance.

Today, stakeholders…rightfully expect companies to assume greater social responsibility, for example, by protecting the climate, fighting for social justice, aiding refugees, and training and educating workers. The business of business should be to create value for society.

This seamless integration of the virtual and the physical worlds in so-called cyber-physical systems – that is the giant leap we see today. It eclipses everything that has happened in industry so far. As in previous industrial revolutions but on a much larger scale, the Fourth Industrial Revolution will eliminate millions of jobs and create millions of new jobs.

 

“…because the Fourth Industrial Revolution runs on knowledge, we need a concurrent revolution in training and education.

If the workforce doesn’t keep up with advances in knowledge throughout their lives, how will the millions of new jobs be filled?” 

Joe Kaeser, President and Chief Executive Officer, Siemens AG

 

 


From DSC:
At least three critically important things jump out at me here:

  1. We are quickly approaching a time when people will need to be able to reinvent themselves quickly and cost-effectively, especially those with families and who are working in their (still existing) jobs. (Or have we already entered this period of time…?)
  2. There is a need to help people identify which jobs are safe to reinvent themselves to — at least for the next 5-10 years.
  3. Citizens across the globe — and their relevant legislatures, governments, and law schools — need to help close the gap between emerging technologies and whether those technologies should even be rolled out, and if so, how and with which features.

 


 

What freedoms and rights should individuals have in the digital age?

Joe Kaeser, President and Chief Executive Officer, Siemens AG

 

 

Facial recognition has to be regulated to protect the public, says AI report — from technologyreview.com by Will Knight
The research institute AI Now has identified facial recognition as a key challenge for society and policymakers—but is it too late?

Excerpt (emphasis DSC):

Artificial intelligence has made major strides in the past few years, but those rapid advances are now raising some big ethical conundrums.

Chief among them is the way machine learning can identify people’s faces in photos and video footage with great accuracy. This might let you unlock your phone with a smile, but it also means that governments and big corporations have been given a powerful new surveillance tool.

A new report from the AI Now Institute (large PDF), an influential research institute based in New York, has just identified facial recognition as a key challenge for society and policymakers.

 

Also see:

EXECUTIVE SUMMARY
At the core of the cascading scandals around AI in 2018 are questions of accountability: who is responsible when AI systems harm us? How do we understand these harms, and how do we remedy them? Where are the points of intervention, and what additional research and regulation is needed to ensure those interventions are effective? Currently there are few answers to these questions, and the frameworks presently governing AI are not capable of ensuring accountability. As the pervasiveness, complexity, and scale of these systems grow, the lack of meaningful accountability and oversight – including basic safeguards of responsibility, liability, and due process – is an increasingly urgent concern.

Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central
problem and addresses the following key issues:

  1. The growing accountability gap in AI, which favors those who create and deploy these
    technologies at the expense of those most affected
  2. The use of AI to maximize and amplify surveillance, especially in conjunction with facial
    and affect recognition, increasing the potential for centralized control and oppression
  3. Increasing government use of automated decision systems that directly impact individuals and communities without established accountability structures
  4. Unregulated and unmonitored forms of AI experimentation on human populations
  5. The limits of technological solutions to problems of fairness, bias, and discrimination

Within each topic, we identify emerging challenges and new research, and provide recommendations regarding AI development, deployment, and regulation. We offer practical pathways informed by research so that policymakers, the public, and technologists can better understand and mitigate risks. Given that the AI Now Institute’s location and regional expertise is concentrated in the U.S., this report will focus primarily on the U.S. context, which is also where several of the world’s largest AI companies are based.

 

 

From DSC:
As I said in this posting, we need to be aware of the emerging technologies around us. Just because we can, doesn’t mean we should. People need to be aware of — and involved with — which emerging technologies get rolled out (or not) and/or which features are beneficial to roll out (or not).

One of the things that’s beginning to alarm me these days is how the United States has turned over the keys to the Maserati — i.e., think an expensive, powerful thing — to youth who lack the life experiences to know how to handle such power and, often, the proper respect for such power. Many of these youthful members of our society don’t own the responsibility for the positive and negative influences and impacts that such powerful technologies can have (and the more senior execs have not taken enough responsibility either)!

If you owned the car below, would you turn the keys of this ~$137,000+ car over to your 16-25 year old? Yet that’s what America has been doing for years. And, in some areas, we’re now paying the price.

 

If you owned this $137,000+ car, would you turn the keys of it over to your 16-25 year old?!

 

The corporate world continues to discard the hard-earned experience that age brings…as they shove older people out of the workforce. (I hesitate to use the word wisdom…but in some cases, that’s also relevant/involved here.) Then we, as a society, sit back and wonder how did we get to this place?

Even technologists and programmers in their 20’s and 30’s are beginning to step back and ask…WHY did we develop this application or that feature? Was it — is it — good for society? Is it beneficial? Or should it be tabled or revised into something else?

Below is but one example — though I don’t mean to pick on Microsoft, as they likely have more older workers than the Facebooks, Googles, or Amazons of the world. I fully realize that all of these companies have some older employees. But the youth-oriented culture in American today has almost become an obsession — and not just in the tech world. Turn on the TV, check out the new releases on Netflix, go see a movie in a theater, listen to the radio, cast but a glance at the magazines in the check out lines, etc. and you’ll instantly know
what I mean.

In the workplace, there appears to be a bias against older employees as being less innovative or tech-savvy — such a perspective is often completely incorrect. Go check out LinkedIn for items re: age discrimination…it’s a very real thing. But many of us over the age of 30 know this to be true if we’ve lost a job in the last decade or two and have tried to get a job that involves technology.

 

Microsoft argues facial-recognition tech could violate your rights — from finance.yahoo.com by Rob Pegoraro

Excerpt (emphasis DSC):

On Thursday, the American Civil Liberties Union provided a good reason for us to think carefully about the evolution of facial-recognition technology. In a study, the group used Amazon’s (AMZN) Rekognition service to compare portraits of members of Congress to 25,000 arrest mugshots. The result: 28 members were mistakenly matched with 28 suspects.

The ACLU isn’t the only group raising the alarm about the technology. Earlier this month, Microsoft (MSFT) president Brad Smith posted an unusual plea on the company’s blog asking that the development of facial-recognition systems not be left up to tech companies.

Saying that the tech “raises issues that go to the heart of fundamental human rights protections like privacy and freedom of expression,” Smith called for “a government initiative to regulate the proper use of facial recognition technology, informed first by a bipartisan and expert commission.”

But we may not get new laws anytime soon.

 

just because we can does not mean we should

 

Just because we can…

 

just because we can does not mean we should

 

 

Can online learning help higher ed reverse its tuition spiral? — from edsurge.com by Robert Ubell (Columnist)

Excerpt:

Classic economic theory predicts that when demand falls, so do prices. But when it comes to the price of college in the past few decades, it’s been just the other way around.

As data from the National Student Clearinghouse Center shows, tuition has escalated even as enrollments fell.

 

 

The dispiriting result is that half of all low-income high school graduates, cowed by sticker shock, don’t even bother to fill-out applications to go to college. A report by the American Council on Education concludes: “The rapid price increases in recent years, especially in the public college sector, may have led many students—particularly low-income students—to think that college is out of reach financially.”

 

Still, colleges that have devoted imagination and commitment show that even with the financial stranglehold in which most schools are locked, the spiral can actually be arrested.

College leaders need to recognize that prices have shot up too far. In the next budget cycle, as they face their treacherous spreadsheets—and before they add yet another percentage point to next year’s tuition—they must act to roll back the perilous climb.

 

 

LinkedIn Learning Opens Its Platform (Slightly) [Young]

LinkedIn Learning Opens Its Platform (Slightly) — from edsurge by Jeff Young

Excerpt (emphasis DSC):

A few years ago, in a move toward professional learning, LinkedIn bought Lynda.com for $1.5 billion, adding the well-known library of video-based courses to its professional social network. Today LinkedIn officials announced that they plan to open up their platform to let in educational videos from other providers as well—but with a catch or two.

The plan, announced Friday, is to let companies or colleges who already subscribe to LinkedIn Learning add content from a select group of other providers. The company or college will still have to subscribe to those other services separately, so it’s essentially an integration—but it does mark a change in approach.

For LinkedIn, the goal is to become the front door for employees as they look for micro-courses for professional development.

 

LinkedIn also announced another service for its LinkedIn Learning platform called Q&A, which will give subscribers the ability to pose a question they have about the video lessons they’re taking. The question will first be sent to bots, but if that doesn’t yield an answer the query will be sent on to other learners, and in some cases the instructor who created the videos.

 

 

Also see:

LinkedIn becomes a serious open learning experience platform — from clomedia.com by Josh Bersin
LinkedIn is becoming a dominant learning solution with some pretty interesting competitive advantages, according to one learning analyst.

Excerpt:

LinkedIn has become quite a juggernaut in the corporate learning market. Last time I checked the company had more than 17 million users, 14,000 corporate customers, more than 3,000 courses and was growing at high double-digit rates. And all this in only about two years.

And the company just threw down the gauntlet; it’s now announcing it has completely opened up its learning platform to external content partners. This is the company’s formal announcement that LinkedIn Learning is not just an amazing array of content, it is a corporate learning platform. The company wants to become a single place for all organizational learning content.

 

LinkedIn now offers skills-based learning recommendations to any user through its machine learning algorithms. 

 

 



Is there demand for staying relevant? For learning new skills? For reinventing oneself?

Well…let’s see.

 

 

 

 

 

 



From DSC:
So…look out higher ed and traditional forms of accreditation — your window of opportunity may be starting to close. Alternatives to traditional higher ed continue to appear on the scene and gain momentum. LinkedIn — and/or similar organizations in the future — along with blockchain and big data backed efforts may gain traction in the future and start taking away some major market share. If employers get solid performance from their employees who have gone this route…higher ed better look out. 

Microsoft/LinkedIn/Lynda.com are nicely positioned to be a major player who can offer society a next generation learning platform at an incredible price — offering up-to-date, microlearning along with new forms of credentialing. It’s what I’ve been calling the Amazon.com of higher ed (previously the Walmart of Education) for ~10 years. It will take place in a strategy/platform similar to this one.

 



Also, this is what a guerilla on the back looks like:

 

This is what a guerilla on the back looks like!

 



Also see:

  • Meet the 83-Year-Old App Developer Who Says Edtech Should Better Support Seniors — from edsurge.com by Sydney Johnson
    Excerpt (emphasis DSC):
    Now at age 83, Wakamiya beams with excitement when she recounts her journey, which has been featured in news outlets and even at Apple’s developer conference last year. But through learning how to code, she believes that experience offers an even more important lesson to today’s education and technology companies: don’t forget about senior citizens.Today’s education technology products overwhelmingly target young people. And while there’s a growing industry around serving adult learners in higher education, companies largely neglect to consider the needs of the elderly.

 

 

The global companies that failed to adapt to change. — from trainingmag.com by Professor M.S. Rao, Ph.D.

Excerpt:

Eastman Kodak, a leader for many years, filed for bankruptcy in 2012. Blockbuster Video became defunct in 2013. Similarly, Borders — one of the largest book retailers in the U.S. — went out of business in 2011. Why did these companies, which once had great brands, ultimately fail? It is because they failed to adapt to change. Additionally, they failed to unlearn and relearn.

Former GE CEO Jack Welch once remarked, “If the rate of change on the outside exceeds the rate of change on the inside, the end is near.” Thus, accept change before the change is thrust on you.

Leaders must adopt tools and techniques to adapt to change. Here is a blueprint to embrace change effectively:

  • Keep the vision right and straight, and articulate it effectively.
  • Create organizational culture conducive to bring about change.
  • Communicate clearly about the need to change.
  • Enlighten people about the implications of the status quo.
  • Show them benefits once the change is implemented.
  • Coordinate all stakeholders effectively.
  • Remove the roadblocks by allaying their apprehensions.
  • Show them small gains to ensure that entire change takes place smoothly without any resistance.

 

From DSC:
Though I’m not on board with all of the perspectives in that article, institutions of traditional higher education likely have something to learn from the failures of these companies….while there’s still time to change and to innovate. 

 

 

Affordable and at-scale — from insidehighered.com by Ray Schroeder
Affordable degrees at scale have arrived. The momentum behind this movement is undeniable, and its impact will be significant, Ray Schroeder writes.

Excerpt (emphasis DSC):

How many times have we been told that major change in our field is on the near horizon? Too many times, indeed.

The promises of technologies and practices have fallen short more often than not. Just seven years ago, I was part of the early MOOC movement and felt the pulsating potential of teaching thousands of students around the world in a single class. The “year of the MOOC” was declared in 2012. Three years later, skeptics declared that the MOOC had died an ignominious death with high “failure” rates and relatively little recognition by employers.

However, the skeptics were too impatient, misunderstood the nature of MOOCs and lacked the vision of those at Georgia Tech, the University of Illinois, Arizona State University, Coursera, edX and scores of other institutions that have persevered in building upon MOOCs’ premises to develop high-quality, affordable courses, certificates and now, degrees at scale.

No, these degrees are not free, but they are less than half the cost of on-campus versions. No, they are not massive in the hundreds of thousands, but they are certainly at large scale with many thousands enrolled. In computer science, the success is felt across the country.

 

Georgia Tech alone has enrolled 10,000 students over all in its online master’s program and is adding thousands of new students each semester in a top 10-ranked degree program costing less than $7,000. Georgia Tech broke the new ground through building collaborations among several partners. Yet, that was just the beginning, and many leading universities have followed.

 

 

Also see:

Trends for the future of education with Jeff Selingo — from steelcase.com
How the future of work and new technology will make place more important than ever.

Excerpt:

Selingo sees artificial intelligence and big data as game changers for higher education. He says AI can free up professors and advisors to spend more time with students by answering some more frequently-asked questions and handling some of the grading. He also says data can help us track and predict student performance to help them create better outcomes. “When they come in as a first-year student, we can say ‘People who came in like you that had similar high school grades and took similar classes ended up here. So, if you want to get out of here in four years and have a successful career, here are the different pathways you should follow.’”

 

 

 

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