From DSC:
Though we aren’t quite there yet, the pieces continue to come together to build a next generation learning platform that will help people reinvent themselves quickly, efficiently, constantly, and cost-effectively.

2019 AI report tracks profound growth — from ide.mit.edu by Paula Klein
Excerpt:
Until now “we’ve been sorely lacking good data about basic questions like ‘How is the technology advancing’ and ‘What is the economic impact of AI?’ ” Brynjolfsson said. The new index, which tracks three times as many data sets as last year’s report, goes a long way toward providing answers.
…
In the U.S., #AI faculty leaving #academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.
19 striking findings from 2019 — from pewresearch.org by John Gramlich
Excerpt:
Every year, Pew Research Center publishes hundreds of reports, blog posts, digital essays and other studies on a wide range of topics, from the demographic and political changes that are reshaping the United States to the attitudes and experiences of people in dozens of other countries. At the end of each year, we compile a list of some of our most noteworthy findings. Here are 19 striking findings from our research this year…
…
A majority of Americans do not think it is possible to go about daily life without corporate and government entities collecting information about them. Americans widely believe at least some of their online and offline activities are being tracked and monitored by companies and the government. It is such a common condition of modern life, in fact, that roughly six-in-ten U.S. adults say they don’t think it is possible to go through daily life without having data collected about them by companies (62% say this) or the government (63%).
Evergreen Data Visualization — from stephanieevergreen.com; with thanks to Mr. Pat Bailey for his post on LinkedIn.com about this resource
From DSC:
If you are using RSS feeds along with a product like Feedly, it might be worth subscribing to the stream of content originating at stephanieevergreen.com/blog/. I appreciated her designs in crafting/relaying narratives via the data that she has worked with.
The Jobs of Tomorrow: LinkedIn’s 2020 Emerging Jobs Report — from blog.linkedin.com by Guy Berger
Excerpt:
Here’s what you should know about this year’s emerging jobs.
Also see these reports:
Online learning is here to stay.
The multibillion-dollar e-learning industry is taking off, and it’s staffing up to prepare. LinkedIn data shows the industry is snapping up both sales and tech talent, indicating continued customer demand for these types of solutions.
2019 study of undergraduate students & information technology — from library.educause.edu
Excerpts:
Drawing on survey data from more than 40,000 students across 118 US institutions, this report highlights a number of important findings related to students’ technology preferences, supports, and experiences, with the goal of aiding technology and higher education professionals in improving student learning experiences and success.
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But they want to be more than in-class spectators:
Figure 2. Student learning environment preferences for specific course-related activities and assignments
Recommendations
From DSC:
Well students…you might find that you have a major surprise ahead of you — as a significant amount of your future learning/training will take place completely online. Go ask some folks who have graduated about their onboarding experiences. Then go ask people who have been in the workplace for over a decade. You’ll see what I mean.
The 20 top tech skills that employers want and that can help you find a job, according to recruiting site Indeed — from businessinsider.com by Rosalie Chan and Bani Sapra
Excerpt:
The job search site Indeed released a report this month about the top tech skills of 2019 based on job descriptions that are being posted.
Andrew Flowers, an economist at Indeed, says that in today’s job market, there are two major trends that drive the top skills in tech. The first is the rise of data science, machine learning, and artificial intelligence. The second is the rise of cloud computing.
“Python has had explosive growth,” Flowers told Business Insider. “If I’m around the dinner table and a nephew asks what should I learn? Having done this report, I would say, learn Python.”
AI innovators should be listening to kids — from wired.com by Urs Gasser, executive director of the Berkman Klein Center for Internet & Society at Harvard University, the principal investigator of the Center’s Youth and Media project, and a professor at Harvard Law School.
Input from the next generation is crucial when it comes to navigating the challenges of new technologies.
Excerpts:
With another monumental societal transformation on the horizon—the rise of artificial intelligence—we have an opportunity to engage the power and imagination of youth to shape the world they will inherit. Many of us were caught off guard by the unintended consequences of the first wave of digital technologies, from mass surveillance to election hacking. But the disruptive power of the internet to date only sets the stage for the even more radical changes AI will produce in the coming decades.
Instead of waiting for the youth to respond to the next crisis, we should proactively engage them as partners in shaping our AI-entangled future.
Young people have a right to participate as we make critical choices that will determine what kind of technological world we leave for them and future generations. They also have unique perspectives to contribute as the first generation to grow up surrounded by AI shaping their education, health, social lives, leisure, and career prospects.
Youth have the most at stake, and they also have valuable perspectives and experiences to contribute. If we want to take control of our digital future and respond effectively to the disruptions new technology inevitably brings, we must listen to their voices.
Much of what’s being sold as “AI” today is snake oil. It does not and cannot work. In a talk at MIT yesterday, I described why this happening, how we can recognize flawed AI claims, and push back. Here are my annotated slides: https://t.co/iCpyFw5urN pic.twitter.com/pmOTI3vq8p
— Arvind Narayanan (@random_walker) November 19, 2019
From DSC:
I wish that more faculty members would share their research, teaching methods, knowledge, and commentary with the world as this professor does (vs. talking to other professors behind publishers’ walled off content). In this case, Arvind happens to use Twitter. But if one doesn’t like to use Twitter, there’s also LinkedIn, WordPress/blogging, podcasting, and other outlets.
6 critical IT skills for the next decade: Bay Area CIO of the Year winners share — from enterprisersproject.com by Ginny Hamilton
What skills will IT talent need most? Six award-winning CIOs discuss the top skills on their radar screens – from AI to emotional intelligence
I’d highly recommend all technology professionals build their external network and contribute to the external professional community as early in your career as possible. The wisdom of the tech community is incredibly important, and because you have to curate this over an extended period of time, there is no accelerated option you can tap at a later date. Technology professionals need to constantly be re-inventing themselves to stay relevant. As technology evolves, so too do the people and roles around it. Constant change is the steady state today and as I tell my team, “The pain of change is mandatory, it is the suffering that is optional. And if you don’t like change, you are going to like irrelevance even less.”
From DSC:
This is an especially good read for students who are considering going into a tech-focused career. If you decide to go that route, you had better be ready for constant change….constant, lifelong learning. And as you get older, you will face age discrimination. Enjoy the jobs that you get from ages 18-30 (perhaps even up to age 35). After that, it gets much tougher. Hopefully, that situation will change as more organizations get sued for allowing this discrimination to continue (perhaps implementing is the more appropriate word…vs. allowing it to occur). Here are some examples of those kinds of issues/suits. But for now, that’s the state of things…at least here in the United States.
FTI 2020 Trend Report for Entertainment, Media, & Technology — from futuretodayinstitute.com
Our 3rd annual industry report on emerging entertainment, media and technology trends is now available.
KEY TAKEAWAYS
Emerging Tech Trend: Patient-Generated Health Data — from futuretodayinstitute.com — Newsletter Issue 124
Excerpt:
Near-Futures Scenarios (2023 – 2028):
Pragmatic: Big tech continues to develop apps that are either indispensably convenient, irresistibly addictive, or both, and we pay for them, not with cash, but with the data we (sometimes unwittingly) let the apps capture. But for the apps for health care and medical insurance, the stakes could literally be life-and-death. Consumers receive discounted premiums, co-pays, diagnostics and prescription fulfillment, but the data we give up in exchange leaves them more vulnerable to manipulation and invasion of privacy.
Catastrophic: Profit-driven drug makers exploit private health profiles and begin working with the Big Nine. They use data-based targeting to over prescribe patients, netting themselves billions of dollars. Big Pharma target and prey on people’s addictions, mental health predispositions and more, which, while undetectable on an individual level, take a widespread societal toll.
Optimistic: Health data enables prescient preventative care. A.I. discerns patterns within gargantuan data sets that are otherwise virtually undetectable to humans. Accurate predictive algorithms identifies complex combinations of risk factors for cancer or Parkinson’s, offers early screening and testing to high-risk patients and encourages lifestyle shifts or treatments to eliminate or delay the onset of serious diseases. A.I. and health data creates a utopia of public health. We happily relinquish our privacy for a greater societal good.
Watchlist: Amazon; Manulife Financial; GE Healthcare; Meditech; Allscripts; eClinicalWorks; Cerner; Validic; HumanAPI; Vivify; Apple; IBM; Microsoft; Qualcomm; Google; Medicare; Medicaid; national health systems; insurance companies.
Microsoft wants anyone to be a developer, whether they code or not — from qz.com by Mike Murphy
Excerpt:
Computers are meant to make life easier, but the ability to actually create new functionality for them resides only with a very skilled few. Microsoft wants to make computers a bit more like automobiles—millions of people know how to operate a car, and owning one can change your life, even if comparatively few have any idea how to build an engine.
Onstage at Microsoft’s Ignite enterprise developer conference in Florida [on 11/4/19], CEO Satya Nadella announced a host of new tools aimed at making it easier for anyone to develop apps.
Earlier this year, Microsoft unveiled the Power Platform, wrapping together a set of programs it has had for a few years that allow companies to wrangle their data into understandable visualizations, and build apps using that data and Microsoft’s technologies.
A face-scanning algorithm increasingly decides whether you deserve the job — from washingtonpost.com by Drew Harwell
HireVue claims it uses artificial intelligence to decide who’s best for a job. Outside experts call it ‘profoundly disturbing.’
Excerpt:
An artificial intelligence hiring system has become a powerful gatekeeper for some of America’s most prominent employers, reshaping how companies assess their workforce — and how prospective employees prove their worth.
Designed by the recruiting-technology firm HireVue, the system uses candidates’ computer or cellphone cameras to analyze their facial movements, word choice and speaking voice before ranking them against other applicants based on an automatically generated “employability” score.
The system, they argue, will assume a critical role in helping decide a person’s career. But they doubt it even knows what it’s looking for: Just what does the perfect employee look and sound like, anyway?
“It’s a profoundly disturbing development that we have proprietary technology that claims to differentiate between a productive worker and a worker who isn’t fit, based on their facial movements, their tone of voice, their mannerisms,” said Meredith Whittaker, a co-founder of the AI Now Institute, a research center in New York.
From DSC:
If you haven’t been screened out by an algorithm from an Applicant Tracking System recently, then you haven’t been looking for a job in the last few years. If that’s the case:
Because the truth is, it’s very difficult to get the eyes of a human being to even look at your resume and/or to meet you in person. The above posting/article should disturb you even more. I don’t think that the programmers have programmed everything inside an experienced HR professional’s mind.
Also see:
2020 Top 10 Issues: Simplify, Sustain, Innovate: The Drive to Digital Transformation Begins — from Educause by Susan Grajek
Also see:
The 30th National Survey of eLearning and Information Technology in US Higher Education — from campuscomputing.net
Hiring and Retaining Campus IT Talent Are Challenges; Many Campus Leaders Are Not Well-Informed About nor Engaged with Digital Issues
Excerpt:
New data from the fall 2019 Campus Computing Survey highlight the challenges that IT leaders across all sectors of US higher education confront in hiring and retaining IT talent. More than three-fourths (77 percent) of the CIOs and senior campus officials participating 2019 survey cite “hiring and retaining IT talent” as a top institutional IT priority. Similarly, 78 percent point to uncompetitive campus salaries and benefits as a major problem in the quest to hire and retain IT talent. And reflecting the campus financial challenges that affect hiring and staff retention efforts, fully two-thirds (67 percent) agree/strongly agree that institutional IT funding “has not recovered from the budget cuts” experienced by colleges and universities across all sectors of higher education since the “Great Recession of 2008.”