Asia

FTI 2020 Trend Report for Entertainment, Media, & Technology [FTI]

On 11/13/2019, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, algorithms, Amazon, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning, Asia, augmented reality, Australia, Blockchain, bots, business, Canada, career development, change, changing business models, cloud-based computing / apps / other cloud-related, cognitive computing, collaboration, communications, computer science, content development, content repositories, convergence, corporate / business world, creativity, digital audio, digital photography, digital video, drama/theater, education technology, educational games / serious games, emerging technologies, engagement / engaging students, engineering, entrepreneurship, Europe, experimentation, Facebook, freelancing, future, game-changing environment, generational differences, gesture / gesturing, global / globalization, Google, human-computer interaction (HCI), IBM, ideas, immersion, India, innovation, intelligent systems, interactivity, internet, Law Schools, leadership, learning ecosystem, legislatures / government / legal, Media/film, Microsoft, Mixed reality, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), parents, photography, platforms, policy, Privacy, programming, psychology, publishing, robotics, Smart/Connected TV, social learning / networks, social media, society, strategy, streams of content, technology (general), telecommunications, television, tools, trends, United States, vendors, virtual reality / worlds / learning, vision, voice recognition / voice enabled interfaces, wearables, workplace, XR - extended reality, youth, by Daniel Christian

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.

157 trends
28 optimistic, pragmatic and catastrophic scenarios
10 non-technical primers and glossaries
Overview of what events to anticipate in 2020
Actionable insights to use within your organization

KEY TAKEAWAYS

Synthetic media offers new opportunities and challenges.
Authenticating content is becoming more difficult.
Regulation is coming.
We’ve entered the post-fixed screen era.
Voice Search Optimization (VSO) is the new Search Engine Optimization (SEO).
Digital subscription models aren’t working.
Advancements in AI will mean greater efficiencies.

The 2019 Campus Technology Impact Award Winners

On 11/04/2019, in analytics, Asia, CMS/LMS, colleges, community colleges, computer science, data mining, education technology, emerging technologies, future of higher education, higher education, IT in HE, platforms, teaching & learning, tools, United States, by Daniel Christian

Example products/awards:

Also see:

The List of Winners of the 2019 FutureTech Breakthrough Award — from futuretech.org.tw

From Jane Hart — the “Top 200 Tools for Learning 2019” is now published

On 09/18/2019, in adjunct faculty, Adobe, Apple, Asia, Australia, blogs / blogging, Canada, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, content development, corporate / business world, corporate universities / corporate training, digital audio, digital learning, digital photography, digital storytelling, digital textbooks, digital video, Europe, faculty, global / globalization, Google, higher education, India, internet, IT in HE, Law Schools, learning, learning ecosystem, Media/film, Microsoft, multimedia, new media literacies, online learning, platforms, podcasting, productivity / tips and tricks, professional development, social learning / networks, social media, teachers, teaching & learning, teaching online, Technologies for your home, technology (general), tools, training / L&D, trends, UK, United States, universities, vendors, web-based collaboration, workplace, by Daniel Christian

Per Jane Hart on LinkedIn:

Top 200 Tools for Learning 2019 is now published, together with:

PLUS analysis of how these tools are being used in different context, new graphics, and updated comments on the tools’ pages that show how people are using the tools.

The Global Landscape of Online Program Companies [Lederman]

On 09/14/2019, in Asia, Australia, Canada, collaboration, colleges, community colleges, Europe, higher education, India, IT in HE, Law Schools, leadership, learning ecosystem, online learning, quality, strategy, teaching online, UK, United States, universities, vendors, by Daniel Christian

The Global Landscape of Online Program Companies — from by Doug Lederman
New trove of data suggests a bigger, more complex, more varied ecosystem of companies that work with colleges to take their academic programs online.

Excerpt:

A new dataset promises to give college leaders, company officials and others involved in the online learning landscape much more information about who offers what programs, how they manage them and where the money is flowing, among other factors.

And the company behind the new data, Holon IQ, published a report today that gives a new name to the large and diversifying category of providers that are working with colleges to take their programs online: OPX, instead of OPM, for online program management companies. (More on that later.)

Also see:

Multi-Faculty Collaboration to Design Online General Studies Courses — from facultyfocus.com by B. Jean Mandernach
Excerpt:
While this type of autonomy in course design makes sense for the face-to-face classroom, it may be less practical–and less effective–in the context of online education. Simply put, development of a high-quality online course takes considerable time and advanced knowledge of online pedagogy. If multiple faculty members are teaching the same course online (as is often the case with general studies or other high-demand courses), it is not an efficient use of departmental time, resources, or budget to have multiple faculty developing their own online classroom for different sections of the same course.

Samsung’s take on the world of 2069 [Szondy]

On 09/03/2019, in Artificial Intelligence / Machine Learning / Deep Learning, Asia, change, emerging technologies, future, game-changing environment, UK, by Daniel Christian

Samsung’s take on the world of 2069 — from newatlas.com by David Szondy

Excerpt:

Samsung is looking forward to what life might be like in the year 2069. The new report, called Samsung KX50: The Future in Focus, draws on the opinions of six of Britain’s leading academics and futurists to look at a range of new technologies that will affect people’s everyday lives.

Reflections on “Uh-oh: Silicon Valley is building a Chinese-style social credit system” [Elgan]

On 08/27/2019, in 24x7x365 access, A/V -- audio/visual, algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, Asia, cloud-based computing / apps / other cloud-related, corporate / business world, dangers of the status quo, Daniel S. Christian, data mining, emerging technologies, ethics, face-to-face, Facebook, future, game-changing environment, generational differences, Google, hearts -- matters of the heart, intelligent systems, internet, Law Schools, legislatures / government / legal, Microsoft, morals/values, platforms, policy, political science, Privacy, society, surviving, the downsides of technology, tools, trends, United States, vendors, by Daniel Christian

Uh-oh: Silicon Valley is building a Chinese-style social credit system — from fastcompany.com by Mike Elgan
In China, scoring citizens’ behavior is official government policy. U.S. companies are increasingly doing something similar, outside the law.

Excerpts (emphasis DSC):

Have you heard about China’s social credit system? It’s a technology-enabled, surveillance-based nationwide program designed to nudge citizens toward better behavior. The ultimate goal is to “allow the trustworthy to roam everywhere under heaven while making it hard for the discredited to take a single step,” according to the Chinese government.

In place since 2014, the social credit system is a work in progress that could evolve by next year into a single, nationwide point system for all Chinese citizens, akin to a financial credit score. It aims to punish for transgressions that can include membership in or support for the Falun Gong or Tibetan Buddhism, failure to pay debts, excessive video gaming, criticizing the government, late payments, failing to sweep the sidewalk in front of your store or house, smoking or playing loud music on trains, jaywalking, and other actions deemed illegal or unacceptable by the Chinese government.
…
IT CAN HAPPEN HERE
Many Westerners are disturbed by what they read about China’s social credit system. But such systems, it turns out, are not unique to China. A parallel system is developing in the United States, in part as the result of Silicon Valley and technology-industry user policies, and in part by surveillance of social media activity by private companies.

Here are some of the elements of America’s growing social credit system.

If current trends hold, it’s possible that in the future a majority of misdemeanors and even some felonies will be punished not by Washington, D.C., but by Silicon Valley. It’s a slippery slope away from democracy and toward corporatocracy.

From DSC:
Who’s to say what gains a citizen points and what subtracts from their score? If one believes a certain thing, is that a plus or a minus? And what might be tied to someone’s score? The ability to obtain food? Medicine/healthcare? Clothing? Social Security payments? Other?

We are giving a huge amount of power to a handful of corporations…trust comes into play…at least for me. Even internally, the big tech co’s seem to be struggling as to the ethical ramifications of what they’re working on (in a variety of areas).

Is the stage being set for a “Person of Interest” Version 2.0?

Take a tour of Google Earth with speakers of 50 different indigenous languages — from fastcompany.com by Melissa Locker

Excerpt:

After the United Nations declared 2019 the International Year of Indigenous Languages, Google decided to help draw attention to the indigenous languages spoken around the globe and perhaps help preserve some of the endangered ones too. To that end, the company recently launched its first audio-driven collection, a new Google Earth tour complete with audio recordings from more than 50 indigenous language speakers from around the world.

China has started a grand experiment in AI education. It could reshape how the world learns. — from technologyreview.com by Karen Hao
In recent years, the country has rushed to pursue “intelligent education.” Now its billion-dollar ed-tech companies are planning to export their vision overseas.

Excerpt:

Zhou Yi was terrible at math. He risked never getting into college. Then a company called Squirrel AI came to his middle school in Hangzhou, China, promising personalized tutoring. He had tried tutoring services before, but this one was different: instead of a human teacher, an AI algorithm would curate his lessons. The 13-year-old decided to give it a try. By the end of the semester, his test scores had risen from 50% to 62.5%. Two years later, he scored an 85% on his final middle school exam.

“I used to think math was terrifying,” he says. “But through tutoring, I realized it really isn’t that hard. It helped me take the first step down a different path.”

The strategy has fueled mind-boggling growth. In the five years since it was founded, the company has opened 2,000 learning centers in 200 cities and registered over a million students—equal to New York City’s entire public school system. It plans to expand to 2,000 more centers domestically within a year. To date, the company has also raised over $180 million in funding. At the end of last year, it gained unicorn status, surpassing $1 billion in valuation.

A new immersive classroom uses AI and VR to teach Mandarin Chinese [Hao; MIT]

On 07/19/2019, in Asia, assistive technologies, attention, cognitive computing, colleges, community colleges, digital learning, emerging technologies, engagement / engaging students, IBM, ideas, immersion, Languages and translation, learning, United States, universities, virtual reality / worlds / learning, voice recognition / voice enabled interfaces, by Daniel Christian

A new immersive classroom uses AI and VR to teach Mandarin Chinese — from technologyreview.com by Karen Hao
Students will learn the language by ordering food or haggling with street vendors on a virtual Beijing street.

Excerpt:

Often the best way to learn a language is to immerse yourself in an environment where people speak it. The constant exposure, along with the pressure to communicate, helps you swiftly pick up and practice new vocabulary. But not everyone gets the opportunity to live or study abroad.

In a new collaboration with IBM Research, Rensselaer Polytechnic Institute (RPI), a university based in Troy, New York, now offers its students studying Chinese another option: a 360-degree virtual environment that teleports them to the busy streets of Beijing or a crowded Chinese restaurant. Students get to haggle with street vendors or order food, and the environment is equipped with different AI capabilities to respond to them in real time.

From DSC:
I just ran across this recently…what do you think of it?!

From DSC:
For me, this is extremely disturbing. And if I were a betting man, I’d wager that numerous nations/governments around the world — most certainly that includes the U.S. — have been developing new weapons of warfare for years that are based on artificial intelligence, robotics, automation, etc.

The question is, now what do we do?

Some very hard questions that numerous engineers and programmers need to be asking themselves these days…

By the way, the background audio on the clip above should either be non-existent or far more ominous — this stuff is NOT a joke.

Also see this recent posting. >>

Addendum on 6/26/19:

Death by algorithm: the age of killer robots is closer than you think — from vox.com by Kelsey Piper
We have the technology to make robots that kill without oversight. But should we?

Experts in machine learning and military technology say it would be technologically straightforward to build robots that make decisions about whom to target and kill without a “human in the loop” — that is, with no person involved at any point between identifying a target and killing them. And as facial recognition and decision-making algorithms become more powerful, it will only get easier.

Blockchain: The move from freedom to the rigid, dominant system in learning — from oeb.global by Inge de Waard
In this post Inge de Waard gives an overview of current Blockchain options from industry and looks at its impact on universities as well as philosophises on its future.

Excerpt:

I mentioned a couple of Blockchain certification options already, but an even more advanced blockchain in learning example has entered on my radar too. It is a Russian implementation called Disciplina. This platform combines education (including vocational training), recruiting (comparable with what LinkedIn is doing with its economic graph) and careers for professionals. All of this is combined into a blockchain solution that keeps track of all the learners’ journey. The platform includes not only online courses as we know it but also coaching. After each training, you get a certificate.

TeachMePlease, which is a partner of Disciplina, enables teachers and students to find each other for specific professional training as well as curriculum-related children’s schooling. Admittedly, these initiatives are still being rolled out in terms of courses, but it clearly shows where the next learning will be located: in an umbrella above all the universities and professional academies. At present, the university courses are being embedded into course offerings by corporations that roll out a layer post-university, or post-vocational schooling.

Europe embraces blockchain, as can be seen with their EU Blockchain observatory and forum. And in a more national action, Malta is storing their certifications in a blockchain nationwide as well. We cannot deny that blockchain is getting picked up by both companies and governments. Universities have been piloting several blockchain certification options, and they also harbour some of the leading voices in the debate on blockchain certification.

Also see:

7 blockchain mistakes and how to avoid them — from computerworld.com by Lucas Mearian
The blockchain industry is still something of a wild west, with many cloud service offerings and a large universe of platforms that can vary greatly in their capabilities. So enterprises should beware jumping to conclusions about the technology.

Mary Meeker’s Internet Trends 2019 Report

On 06/12/2019, in analytics, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, Canada, career development, cost of getting a degree, Cost of legal services - including access, Daniel S. Christian, data mining, education, education technology, emerging technologies, Europe, future of higher education, game-changing environment, health, higher education, human-computer interaction (HCI), India, innovation, intelligent systems, internet, IT in HE, Law Schools, learning ecosystem, learning from the living [class] room, marketing/social marketing, MBA, Microsoft, MOOCs -- Massive Open Online Courses, more choice more control, multimedia, new business models, online learning, pace of change, platforms, social learning / networks, social media, society, storytelling, student-related, Technologies for your home, technology (general), tools, trends, UK, Uncategorized, United States, vendors, voice recognition / voice enabled interfaces, web-based collaboration, workplace, by Daniel Christian

Excerpts:

From DSC:
That last one reminded me of why I think the Living from the Living [Class] Room vision is so powerful…

10 things we should all demand from Big Tech right now — from vox.com by Sigal Samuel
We need an algorithmic bill of rights. AI experts helped us write one.

Excerpts:

Transparency: We have the right to know when an algorithm is making a decision about us, which factors are being considered by the algorithm, and how those factors are being weighted.
Explanation: We have the right to be given explanations about how algorithms affect us in a specific situation, and these explanations should be clear enough that the average person will be able to understand them.
Consent: We have the right to give or refuse consent for any AI application that has a material impact on our lives or uses sensitive data, such as biometric data.
Freedom from bias: We have the right to evidence showing that algorithms have been tested for bias related to race, gender, and other protected characteristics — before they’re rolled out. The algorithms must meet standards of fairness and nondiscrimination and ensure just outcomes. (Inserted comment from DSC: Is this even possible? I hope so, but I have my doubts especially given the enormous lack of diversity within the large tech companies.)
Feedback mechanism: We have the right to exert some degree of control over the way algorithms work.
Portability: We have the right to easily transfer all our data from one provider to another.
Redress: We have the right to seek redress if we believe an algorithmic system has unfairly penalized or harmed us.
Algorithmic literacy: We have the right to free educational resources about algorithmic systems.
Independent oversight: We have the right to expect that an independent oversight body will be appointed to conduct retrospective reviews of algorithmic systems gone wrong. The results of these investigations should be made public.
Federal and global governance: We have the right to robust federal and global governance structures with human rights at their center. Algorithmic systems don’t stop at national borders, and they are increasingly used to decide who gets to cross borders, making international governance crucial.

This raises the question: Who should be tasked with enforcing these norms? Government regulators? The tech companies themselves?

Introduction: Leading the social enterprise—Reinvent with a human focus
2019 Global Human Capital Trends — from deloitte.com by Volini?, Schwartz? ?, Roy?, Hauptmann, Van Durme, Denny, and Bersin

Excerpt (emphasis DSC):

Learning in the flow of life. The number-one trend for 2019 is the need for organizations to change the way people learn; 86 percent of respondents cited this as an important or very important issue. It’s not hard to understand why. Evolving work demands and skills requirements are creating an enormous demand for new skills and capabilities, while a tight labor market is making it challenging for organizations to hire people from outside. Within this context, we see three broader trends in how learning is evolving: It is becoming more integrated with work; it is becoming more personal; and it is shifting—slowly—toward lifelong models. Effective reinvention along these lines requires a culture that supports continuous learning, incentives that motivate people to take advantage of learning opportunities, and a focus on helping individuals identify and develop new, needed skills.

Ori Inbar unpacks the past, present, & future of augmented reality [Strange]

On 05/11/2019, in A/V -- audio/visual, Apple, Asia, augmented reality, education technology, emerging technologies, future, game-changing environment, human-computer interaction (HCI), platforms, society, tools, training / L&D, trends, United States, by Daniel Christian

After nearly a decade of Augmented World Expo (AWE), founder Ori Inbar unpacks the past, present, & future of augmented reality — from next.reality.news by Adario Strange

Excerpts:

I think right now it’s almost a waste of time to talk about a hybrid device because it’s not relevant. It’s two different devices and two different use cases. But like you said, sometime in the future, 15, 20, 50 years, I imagine a point where you could open your eyes to do AR, and close your eyes to do VR.
…
I think there’s always room for innovation, especially with spatial computing where we’re in the very early stages. We have to develop a new visual approach that I don’t think we have yet. What does it mean to interact in a world where everything is visual and around you, and not on a two-dimensional screen? So there’s a lot to do there.

A big part of mainstream adoption is education. Until you get into AR and VR, you don’t really know what you’re missing. You can’t really learn about it from videos. And that education takes time. So the education, plus the understanding of the need, will create a demand.

— Ori Inbar

Learning Ecosystems

The 2019 Campus Technology Impact Award Winners

The Global Landscape of Online Program Companies [Lederman]

Samsung’s take on the world of 2069 [Szondy]

Reflections on “Uh-oh: Silicon Valley is building a Chinese-style social credit system” [Elgan]

China has started a grand experiment in AI education. It could reshape how the world learns. [Hao]

A new immersive classroom uses AI and VR to teach Mandarin Chinese [Hao; MIT]

Numerous nations/governments likely developing weapons of war based on AI, robotics, etc.

Blockchain and AI in learning and in education [de Waard]

10 things we should all demand from Big Tech right now [Samuel]

“The #1 trend for 2019 is the need for organizations to change the way people learn” [Deloitte]

Ori Inbar unpacks the past, present, & future of augmented reality [Strange]

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