bots

Amazon & Google have started their own consulting operations, lending out some of their prized AI talent to customers.

On 12/01/2017, in Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, cloud-based computing / apps / other cloud-related, computer science, corporate / business world, data related items, emerging technologies, Google, workplace, by Daniel Christian

Google, Amazon Find Not Everyone Is Ready for AI — from wired.com by Tom Simonite

Excerpt:

Yet as Amazon and Google seek greater riches by infusing the world with artificial intelligence, they’ve started their own consulting operations, lending out some of their prized AI talent to customers. The reason: Those other businesses lack the expertise to take advantage of techniques such as machine learning.

…

The expertise shortage upsets the usual dynamic of the cloud market, where Amazon, Google, and others mostly compete on price and technical features. “If you’re a random manufacturing company in the midwest you may have money, but it’s hard to attract a $250,000-a-year Stanford PhD to work for you,” says Diego Oppenheimer, whose Google-backed startup provides tools that help companies deploy machine-learning software. Companies in that situation may be more swayed by an offer of help building AI, than pricing and performance, he says.

AI: Embracing the promises and realities — from the Allegis Group

Excerpts:

What will that future be? When it comes to jobs, the tea leaves are indecipherable as analysts grapple with emerging technologies, new fields of work, and skills that have yet to be conceived. The only certainty is
that jobs will change. Consider the conflicting predictions put forth by the analyst community:

According to the Organization of Economic Cooperation and Development, only 5-10% of labor would be displaced by intelligent automation, and new job creation will offset losses. (Inserted comment from DSC: Hmmm. ONLY 5-10%!? What?! That’s huge! And don’t count on the majority of those people becoming experts in robotics, algorithms, big data, AI, etc.)
The World Economic Forum27 said in 2016 that 60% of children entering school today will work in jobs that do not yet exist.
47% of all American job functions could be automated within 20 years, according to the Oxford Martin School on Economics in a 2013 report.
In 2016, a KPMG study estimated that 100 million global knowledge workers could be affected by robotic process automation by 2025.

Despite the conflicting views, most analysts agree on one thing: big change is coming. Venture Capitalist David Vandergrift has some words of advice: “Anyone not planning to retire in the next 20 years should be paying pretty close attention to what’s going on in the realm of AI. The supplanting (of jobs) will not happen overnight: the trend over the next couple of decades is going to be towards more and more automation.”30

While analysts may not agree on the timing of AI’s development in the economy, many companies are already seeing its impact on key areas of talent and business strategy. AI is replacing jobs, changing traditional roles, applying pressure on knowledge workers, creating new fields of work, and raising the demand for certain skills.

The emphasis on learning is a key change from previous decades and rounds of automation. Advanced AI is, or will soon be, capable of displacing a very wide range of labor, far beyond the repetitive, low-skill functions traditionally thought to be at risk from automation. In many cases, the pressure on knowledge workers has already begun.

Regardless of industry, however, AI is a real challenge to today’s way of thinking about work, value, and talent scarcity. AI will expand and eventually force many human knowledge workers to reinvent their roles to address issues that machines cannot process. At the same time, AI will create a new demand for skills to guide its growth and development. These emerging areas of expertise will likely be technical or knowledge-intensive fields. In the near term, the competition for workers in these areas may change how companies focus their talent strategies.

Now with over 24,000 skills, where might Amazon’s Alexa end up in our future learning ecosystems?

On 11/29/2017, in 21st century, A/V -- audio/visual, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, Google, ideas, innovation, learner profiles, learning, learning agents, learning ecosystem, Natural Language Processing (NLP), voice recognition / voice enabled interfaces, by Daniel Christian

The Impact of Alexa and Google Home on Consumer Behavior — from chatbotsmagazine.com by Arte Merritt

Excerpt (emphasis DSC):

2017 has turned out to be the year of voice. Amazon Alexa passed over 10 million unit sales earlier in the year and there are over 24,000 Skills in the store. With the addition of new devices like the Echo Show, Echo Plus, improved Echo Dot, and a new form factor for the Echo, there’s an option for everyone’s budget. Google is right there as well with the addition of the Google Mini to go along with the original Google Home. Apple’s efforts with Siri and HomePod, Samsung’s Bixby, and Microsoft’s Cortana round out the major tech firms efforts in this space.

Also see:

How artificial intelligence could transform government [Deloitte University Press]

On 11/28/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, human-computer interaction (HCI), innovation, legislatures / government / legal, strategy, vendors, vision/possibilities, by Daniel Christian

How artificial intelligence could transform government — from Deloitte University Press
Cognitive technologies have the potential to revolutionize the public sector—and save billions of dollars

Excerpt:

The rise of more sophisticated cognitive technologies is, of course, critical to that third era, aiding advances in several categories:

Rules-based systems capture and use experts’ knowledge to provide answers to tricky but routine problems. As this decades-old form of AI grows more sophisticated, users may forget they aren’t conversing with a real person.
Speech recognition transcribes human speech automatically and accurately. The technology is improving as machines collect more examples of conversation. This has obvious value for dictation, phone assistance, and much more.
Machine translation, as the name indicates, translates text or speech from one language to another. Significant advances have been made in this field in only the past year.8 Machine translation has obvious implications for international relations, defense, and intelligence as well as, in our multilingual society, numerous domestic applications.
Computer vision is the ability to identify objects, scenes, and activities in naturally occurring images. It’s how Facebook sorts millions of users’ photos, but it can also scan medical images for indications of disease and identify criminals from surveillance footage. Soon it will allow law enforcement to quickly scan license plate numbers of vehicles stopped at red lights, identifying suspects’ cars in real time.
Machine learning takes place without explicit programming. By trial and error, computers learn how to learn, mining information to discover patterns in data that can help predict future events. The larger the datasets, the easier it is to accurately gauge normal or abnormal behavior. When your email program flags a message as spam, or your credit card company warns you of a potentially fraudulent use of your card, machine learning may be involved. Deep learning is a branch of machine learning involving artificial neural networks inspired by the brain’s structure and function.9
Robotics is the creation and use of machines to perform automated physical functions. The integration of cognitive technologies such as computer vision with sensors and other sophisticated hardware has given rise to a new generation of robots that can work alongside people and perform many tasks in unpredictable environments. Examples include drones, robots used for disaster response, and robot assistants in home health care.
Natural language processing refers to the complex and difficult task of organizing and understanding language in a human way. This goes far beyond interpreting search queries, or translating between Mandarin and English text. Combined with machine learning, a system can scan websites for discussions of specific topics even if the user didn’t input precise search terms. Computers can identify all the people and places mentioned in a document or extract terms and conditions from contracts. As with all AI-enabled technology, these become smarter as they consume more accurate data—and as developers integrate complementary technologies such as machine translation and natural language processing.

…

We’ve developed a framework that can help government agencies assess their own opportunities for deploying these technologies. It involves examining business processes, services, and programs to find where cognitive technologies may be viable, valuable, or even vital. Figure 8 summarizes this “Three Vs” framework. Government agencies can use it to screen the best opportunities for automation or cognitive technologies.

The future of work: How artificial intelligence will transform the employee experience [Meister]

On 11/13/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, corporate / business world, corporate universities / corporate training, future, game-changing environment, human-computer interaction (HCI), ideas, user experience (UX), vendors, workplace, by Daniel Christian

The future of work: How artificial intelligence will transform the employee experience — from forbes.com by Jeanne Meister

Excerpt:

Artificial Intelligence is on the verge of penetrating every major industry from healthcare to advertising, transportation, finance, legal, education, and now inside the workplace. Many of us may have already interacted with a chatbot (defined as an automated, yet personalized, conversation between software and human users) whether it’s on Facebook Messenger to book a hotel room or ordering flowers through 1-800 flowers. According to Facebook Vice President, David Marcus, there are now more than 100,000 chatbots on the Facebook Messenger platform, up from 33,000 in 2016.

As we increase the usage of chatbots in our personal lives, we will expect to use them in the workplace to assist us with things like finding new jobs, answering frequently asked HR related questions or even receiving coaching and mentoring. Chatbots digitize HR processes and enable employees to access HR solutions from anywhere. Using artificial intelligence in HR will create a more seamless employee experience, one that is nimbler and more user driven.

WE ARE NOT READY FOR THIS! Per Forrester Research: In US, a net loss of 7% of jobs to automation — in 2018!

On 11/13/2017, in 21st century, 24x7x365 access, active learning, adult learning, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, business, Canada, career development, change, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, dangers of the status quo, Daniel S. Christian, data related items, digital learning, disruption, education reform, education technology, emerging technologies, Europe, Facebook / Meta Platforms, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, legislatures / government / legal, lifelong learning, microlearning, Microsoft, more voice more choice more control, online learning, organizational change, pace of change, platforms, professional development, reinvent, research, robotics, second screen apps, society, staying relevant, strategy, streams of content, surviving, technologies for your home, the downsides of how people use tech, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

Forrester predicts that AI-enabled automation will eliminate 9% of US jobs in 2018 — from forbes.com by Gil Press

Excerpt (emphasis DSC):

A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.

We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:

Automation will eliminate 9% of US jobs but will create 2% more.
In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.” Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.

Your next entry-level compliance staffer will be a robot.

From DSC:

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!

That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.

But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:

Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality

Plan now to attend the 2018 Next Generation Learning Spaces Conference — tour USC’s campus!

On 11/09/2017, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, assessment, attention, Augmented Reality (AR), Blockchain, bots, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, corporate / business world, Daniel S. Christian, data related items, digital learning, distance education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, experimentation, faculty/staff, future of higher education, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, IT in HE, K-12 related, leadership, learning, learning ecosystem, learning spaces, learning theories, liberal arts, lifelong learning, maker movement, Mixed Reality (MR), mobile learning, mobile technologies, multimedia, online learning, pedagogy, personalized/customized learning, productivity / tips and tricks, professional development, reinvent, smart classrooms, social learning / networks, staying relevant, student-related, teaching & learning, technologies for your home, technology (general), tools, traditional / tradition, trends, United States, universities, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, visualizing information, by Daniel Christian

From DSC:
I am honored to be currently serving on the 2018 Advisory Council for the Next Generation Learning Spaces Conference with a great group of people. Missing — at least from my perspective — from the image below is Kristen Tadrous, Senior Program Director with the Corporate Learning Network. Kristen has done a great job these last few years planning and running this conference.

NOTE:
The above graphic reflects a recent change for me. I am still an Adjunct Faculty Member
at Calvin College, but I am no longer a Senior Instructional Designer there.
My brand is centered around being an Instructional Technologist.

This national conference will be held in Los Angeles, CA on February 26-28, 2018. It is designed to help institutions of higher education develop highly-innovative cultures — something that’s needed in many institutions of traditional higher education right now.

I have attended the first 3 conferences and I moderated a panel at the most recent conference out in San Diego back in February/March of this year. I just want to say that this is a great conference and I encourage you to bring a group of people to it from your organization! I say a group of people because a group of 5 of us (from a variety of departments) went one year and the result of attending the NGLS Conference was a brand new Sandbox Classroom — an active-learning based, highly-collaborative learning space where faculty members can experiment with new pedagogies as well as with new technologies. The conference helped us discuss things as a diverse group, think out load, come up with some innovative ideas, and then build the momentum to move forward with some of those key ideas.

If you haven’t already attended this conference, I highly recommend that you check it out. You can obtain the agenda/brochure for the conference by providing some basic contact information here.

Per Kristen Tadrous, here’s why you want to check out USC:

A true leader in innovation: USC made it to the Top 20 of Reuter’s 100 Most Innovative Universities in 2017!
Detailed guided tour of leading spaces led by the Information Technology Services Learning Environments team
Benchmark your own learning environments by getting a ‘behind the scenes’ look at their state-of-the-art spaces
There are only 30 spots available for the site tour

Building Spaces to Inspire a Culture of Innovation — a core theme at the 4^th Next Generation Learning Spaces summit, taking place this February 26-28 in Los Angeles. An invaluable opportunity to meet and hear from like-minded peers in higher education, and continue your path toward lifelong learning. #ngls2018 http://bit.ly/2yNkMLL

2018 Tech Trends for Journalism & Media Report + the 2017 Tech Trends Annual Report that I missed from the Future Today Institute

On 11/08/2017, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, business, career development, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, computer science, corporate / business world, digital audio, digital learning, digital textbooks, education, education technology, elearning, emerging technologies, engineering, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, interactivity, internet, journalism, leadership, learning, learning ecosystem, legislatures / government / legal, lifelong learning, machine-to-machine communications, media/film, microlearning, Natural Language Processing (NLP), new media literacies, online learning, organizational change, pace of change, personalized/customized learning, platforms, podcasting, political science, social learning / networks, society, staying relevant, strategy, student-related, technologies for your home, technology (general), tools, trends, universities, user experience (UX), Virtual Reality (VR) / worlds / learning, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

2018 Tech Trends For Journalism Report — from the Future Today Institute

Key Takeaways

2018 marks the beginning of the end of smartphones in the world’s largest economies. What’s coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.

Those in the news ecosystem should factor the trends in this report into their strategic thinking for the coming year, and adjust their planning, operations and business models accordingly.

2017 Tech Trends Annual Report — from the Future Today Institute; this is the first I’ve seen this solid report

Excerpts:

This year’s report has 159 trends.
This is mostly due to the fact that 2016 was the year that many areas of science and technology finally started to converge. As a result we’re seeing a sort of slow-motion explosion––we will undoubtedly look back on the last part of this decade as a pivotal moment in our history on this planet.
…
Our 2017 Trend Report reveals strategic opportunities and challenges for your organization in the coming year. The Future Today Institute’s annual Trend Report prepares leaders and organizations for the year ahead, so that you are better positioned to see emerging technology and adjust your strategy accordingly. Use our report to identify near-future business disruption and competitive threats while simultaneously finding new collaborators and partners. Most importantly, use our report as a jumping off point for deeper strategic planning.

Also see:

Emerging eLearning Tools and Platforms Improve Results — from learningsolutionsmag.com

Augmented and virtual reality offer ways to immerse learners in experiences that can aid training in processes and procedures, provide realistic simulations to deepen empathy and build communication skills, or provide in-the-workflow support for skilled technicians performing complex procedures.
Badges and other digital credentials provide new ways to assess and validate employees’ skills and mark their eLearning achievements, even if their learning takes place informally or outside of the corporate framework.
Chatbots are proving an excellent tool for spaced learning, review of course materials, guiding new hires through onboarding, and supporting new managers with coaching and tips.
Content curation enables L&D professionals to provide information and educational materials from trusted sources that can deepen learners’ knowledge and help them build skills.
eBooks, a relative newcomer to the eLearning arena, offer rich features for portable on-demand content that learners can explore, review, and revisit as needed.
Interactive videos provide branching scenarios, quiz learners on newly introduced concepts and terms, offer prompts for small-group discussions, and do much more to engage learners.
Podcasts can turn drive time into productive time, allowing learners to enjoy a story built around eLearning content.
Smartphone apps, available wherever learners take their phones or tablets, can be designed to offer product support, info for sales personnel, up-to-date information for repair technicians, and games and drills for teaching and reviewing content; the possibilities are limited only by designers’ imagination.
Social platforms like Slack, Yammer, or Instagram facilitate collaboration, sharing of ideas, networking, and social learning. Adopting social learning platforms encourages learners to develop their skills and contribute to their communities of practice, whether inside their companies or more broadly.
xAPI turns any experience into a learning experience. Adding xAPI capability to any suitable tool or platform means you can record learner activity and progress in a learning record store (LRS) and track it.

DevLearn Attendees Learn How to ‘Think Like a Futurist’ — from learningsolutionsmag.com

Excerpt:

How does all of this relate to eLearning? Again, Webb anticipated the question. Her response gave hope to some—and terrified others. She presented three possible future scenarios:

Everyone in the learning arena learns to recognize weak signals; they work with technologists to refine artificial intelligence to instill values. Future machines learn not only to identify correct and incorrect answers; they also learn right and wrong. Webb said that she gives this optimistic scenario a 25 percent chance of occurring.
Everyone present is inspired by her talk but they, and the rest of the learning world, do nothing. Artificial intelligence continues to develop as it has in the past, learning to identify correct answers but lacking values. Webb’s prediction is that this pragmatic optimistic scenario has a 50 percent chance of occurring.
Learning and artificial intelligence continue to develop on separate tracks. Future artificial intelligence and machine learning projects incorporate real biases that affect what and how people learn and how knowledge is transferred. Webb said that she gives this catastrophic scenario a 25 percent chance of occurring.

In an attempt to end on a strong positive note, Webb said that “the future hasn’t happened yet—we think” and encouraged attendees to take action. “To build the future of learning that you want, listen to weak signals now.”

“How to improve memory retention in online training” plus tips for managing projects as well as for budgeting — from Christopher Pappas

On 11/03/2017, in Artificial Intelligence/Agents/LLMs/and Related, bots, collaboration, communications, communities of practice, memory, online learning, online media, productivity / tips and tricks, professional development, tools, training / L&D, user experience (UX), using teams, workplace, by Daniel Christian

How to improve memory retention in online training — from growthengineering.co.uk by Christopher Pappas

Excerpt:

4. Incorporate A “Moment Of Need” Online Training Repository
That brings us to the next tip, which is to incorporate a “just in time” online training library. This features microlearning online training resources that are easy to digest and remember. Employees can access support tools based on their needs, goals, and skill gaps. Best of all, they can expand their knowledge whenever it’s most convenient, whether that’s on the sales floor, before a client meeting, or during the morning commute. “Moment of need” online training repositories aid in memory retention by breaking the online training content into consumable pieces, instead of barraging your employees with large quantities of information.

From DSC:
This idea of an online training repository is tied in with a more recent development of “chatbots.” As artificial intelligence continues to pick up steam, these chatbots could offer internal employees as well as external customers automated responses to questions. People could ask the questions either by typing in their questions and/or by using their voices to ask their questions. So keep your eyes on chatbots — as they will likely bring a whole new method of obtaining information and professional development to us in the near future!

Also from Christopher Pappas (@cpappas) see:

6 Tips To Create A Realistic eLearning Budget For Your eLearning Project – from by Christopher Pappas
Creating an eLearning project plan means establishing a realistic eLearning budget to match your expectations. Here are 7 things to consider to develop a realistic eLearning budget.

Top Project Management Online Platforms For Distributed eLearning Teams

From DSC:
Some of the largest waves of change that are hitting the beaches of numerous societies throughout the globe are coming from technological changes such as:

Artificial intelligence (which includes things like machine learning, deep learning, natural language processing, personal assistants, bots, algorithms, and the like)
Big data and analytics
Robotics
The digital transformation of businesses
New forms of human computer interaction such as virtual reality, augmented reality and mixed reality
Mobile computing
Cloud computing
The Internet of Things
Wearables
…and more

But in all of these developments, what is common amongst them is that the pace of change has changed. It’s much faster now. In fact, we are no longer on a linear path of slow, steady, incremental changes. We are now on an exponential trajectory – or pace – of change.

This new pace of change is starting to have profound implications for societies, individuals, institutions of higher education, and workforces throughout the globe. Some of these ramifications include:

Profound modifications to the existing workforce; in some cases, staff reductions
New fields, new positions
New skillsets that require highly-educated individuals as well as a massive amount of additional training for existing employees
New methods of learning and the requirement for lifelong, constant learning from here on out
The need to become more responsive and nimble
The need to pulse-check a variety of landscapes to ascertain the best potential strategies to pursue (in light of the potential upcoming scenarios)

Yet the changes aren’t just arising from technological changes. For institutions of higher education, there have been other areas of change that bring with them significant impact, such as:

Decreases in state funding
The increasing costs of healthcare and benefits for faculty, staff, and administrators
Headwinds from demographic-related declines (depending upon one’s geographic location)
Aging facilities and infrastructures
…and more.

Navigating these rough waters is not easy. But the key questions now are:

Is your institution poised to ride the waves of change or is it about to get crushed by these same waves?

Is someone at your organization looking out for these oncoming waves?
That is, is someone pulse-checking a variety of landscapes to ascertain the trends that are developing, trends that could significantly impact your institution and/or your students?

What are some of the ways that your organization could respond to these waves of change to positively impact the following parties?
- Your organization
  What new programs could be offered at your institution? How is the level of responsiveness at your institution to these changes?
- Your students
  Many jobs that your students will have in their futures haven’t even been invented yet. How can you best develop them to be ready for the new, exponential pace of change? How are you helping your graduates who (increasingly) need to come back to your institution and reinvent themselves – quickly, conveniently, and cost-effectively?
- Your employees
  Given all of this change, the professional growth of your own faculty members, staff, and members of your administration is extremely important. How are you looking after their growth?

Would you use the word “innovative” to describe the culture of your organization? That is, is your institution willing to experiment and take some calculated risks? To take no action or risks in the current environment is likely the biggest risk of all.

For institutions of higher education: Some of the ways to respond to the new, exponential pace of change [Christian]

On 10/18/2017, in 21st century, adult learning, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), Blockchain, bots, business, business side of he, career development, change, colleges, community colleges, consortiums, dangers of the status quo, Daniel S. Christian, data related items, digital learning, distance education, education reform, elearning, emerging technologies, expectations, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, interaction design, interface design, internet, leadership, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, machine-to-machine communications, Michigan, Mixed Reality (MR), online learning, organizational change, pace of change, parents/guardians, personalized/customized learning, platforms, real-world assignments, reinvent, society, staying relevant, strategy, streams of content, student-related, surviving, technology (general), traditional / tradition, trends, United States, universities, user experience (UX), user interface design, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

From DSC:
In Part I, I looked at the new, exponential pace of change that colleges, community colleges and universities now need to deal with – observing the enormous changes that are starting to occur throughout numerous societies around the globe. If we were to plot out the rate of change, we would see that we are no longer on a slow, steady, incremental type of linear pathway; but, instead, we would observe that we are now on an exponential trajectory (as the below graphic from sparks & honey very nicely illustrates).

How should colleges and universities deal with this new, exponential pace of change?

1) I suggest that you ensure that someone in your institution is lifting their gaze and peering out into the horizons, to see what’s coming down the pike. That person – or more ideally, persons – should also be looking around them, noticing what’s going on within the current landscapes of higher education. Regardless of how your institution tackles this task, given that we are currently moving at an incredibly fast pace, this trend analysis is very important. The results from this analysis should immediately be integrated into your strategic plan. Don’t wait 3-5 years to integrate these new findings into your plan. The new, exponential pace of change is going to reward those organizations who are nimble and responsive.

2) I recommend that you look at what programs you are offering and consider if you should be developing additional programs such as those that deal with:

Artificial Intelligence (Natural Language Processing, deep learning, machine learning, bots)
New forms of Human Computer Interaction such as Augmented Reality, Virtual Reality, and Mixed Reality
User Experience Design, User Interface Design, and/or Interaction Design
Big data, data science, working with data
The Internet of Things, machine-to-machine communications, sensors, beacons, etc.
Blockchain-based technologies/systems
The digital transformation of business
Freelancing / owning your own business / entrepreneurship (see this article for the massive changes happening now!)
…and more

3) If you are not already doing so, I recommend that you immediately move to offer a robust lineup of online-based programs. Why do I say this? Because:

Without them, your institution may pay a heavy price due to its diminishing credibility. Your enrollments could decline if learners (and their families) don’t think they will get solid jobs coming out of your institution. If the public perceives you as a dinosaur/out of touch with what the workplace requires, your enrollment/admissions groups may find meeting their quotas will get a lot harder as the years go on. You need to be sending some cars down the online/digital/virtual learning tracks. (Don’t get me wrong. We still need the liberal arts. However, even those institutions who offer liberal arts lineups will still need to have a healthy offering of online-based programs.)
Online-based learning methods can expand the reach of your faculty members while offering chances for individuals throughout the globe to learn from you, and you from them
Online-based learning programs can increase your enrollments, create new revenue streams, and develop/reach new markets
Online-based learning programs have been proven to offer the same learning gains – and sometimes better learning results than – what’s being achieved in face-to-face based classrooms
The majority of pedagogically-related innovations are occurring within the online/digital/virtual realm, and you will want to have built the prior experience, expertise, and foundations in order to leverage and benefit from them
Faculty take their learning/experiences from offering online-based courses back into their face-to-face courses
Due to the increasing price of obtaining a degree, students often need to work to help get them (at least part of the way) through school; thus, flexibility is becoming increasingly important and necessary for students
An increasing number of individuals within the K-12 world as well as the corporate world are learning via online-based means. This is true within higher education as well, as, according to a recent report from Digital Learning Compass states that “the number of higher education students taking at least one distance education course in 2015 now tops six million, about 30% of all enrollments.”
Families are looking very closely at their return on investments being made within the world of higher education. They want to see that their learners are being prepared for the ever-changing future that they will encounter. If people in the workforce often learn online, then current students should be getting practice in that area of their learning ecosystems as well.
As the (mostly) online-based Amazon.com is thriving and retail institutions such as Sears continue to close, people are in the process of forming more generalized expectations that could easily cross over into the realm of higher education. By the way, here’s how our local Sears building is looking these days…or what’s left of it.

4) I recommend that you move towards offering more opportunities for lifelong learning, as learners need to constantly add to their skillsets and knowledge base in order to remain marketable in today’s workforce. This is where adults greatly appreciate – and need – the greater flexibility offered by online-based means of learning. I’m not just talking about graduate programs or continuing studies types of programs here. Rather, I’m hoping that we can move towards providing streams of up-to-date content that learners can subscribe to at any time (and can drop their subscription to at any time). As a relevant side note here, keep your eyes on blockchain-based technologies here.

5) Consider the role of consortia and pooling resources. How might that fit into your strategic plan?

6) Consider why bootcamps continue to come onto the landscape. What are traditional institutions of higher education missing here?

7) And lastly, if one doesn’t already exist, form a small, nimble, innovative group within your organization — what I call a TrimTab Group — to help identify what will and won’t work for your institution.

For those seeking to be better communicators/leaders/servants, you need to check out “Communicate Like a True Leader”

On 10/17/2017, in 21st century, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, business, career development, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, computer science, corporate / business world, Daniel S. Christian, emerging technologies, engineering, ethics, Facebook / Meta Platforms, global / globalization, hearts -- matters of the heart, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, leadership, liberal arts, marketing/social marketing, Michigan, Microsoft, morals/values, organizational change, pace of change, presentations, productivity / tips and tricks, professional development, relationships, robotics, society, student-related, teachers, teaching & learning, United States, universities, writing, by Daniel Christian

From DSC:
I know Quentin Schultze from our years working together at Calvin College, in Grand Rapids, Michigan (USA). I have come to greatly appreciate Quin as a person of faith, as an innovative/entrepreneurial professor, as a mentor to his former students, and as an excellent communicator.

Quin has written a very concise, wisdom-packed book that I would like to recommend to those people who are seeking to be better communicators, leaders, and servants. But I would especially like to recommend this book to the leadership at Google, Amazon, Apple, Microsoft, IBM, Facebook, Nvidia, the major companies developing robots, and other high-tech companies. Why do I list these organizations? Because given the exponential pace of technological change, these organizations — and their leaders — have an enormous responsibility to make sure that the technologies that they are developing result in positive changes for societies throughout the globe. They need wisdom, especially as they are working on emerging technologies such as Artificial Intelligence (AI), personal assistants and bots, algorithms, robotics, the Internet of Things, big data, blockchain and more. These technologies continue to exert an increasingly powerful influence on numerous societies throughout the globe today. And we haven’t seen anything yet! Just because we can develop and implement something, doesn’t mean that we should. Again, we need wisdom here.

But as Quin states, it’s not just about knowledge, the mind and our thoughts. It’s about our hearts as well. That is, we need leaders who care about others, who can listen well to others, who can serve others well while avoiding gimmicks, embracing diversity, building trust, fostering compromise and developing/exhibiting many of the other qualities that Quin writes about in his book. Our societies desperately need leaders who care about others and who seek to serve others well.

I highly recommend you pick up a copy of Quin’s book. There are few people who can communicate as much in as few words as Quin can. In fact, I wish that more writing on the web and more articles/research coming out of academia would be as concisely and powerfully written as Quin’s book, Communicate Like a True Leader: 30 Days of Life-Changing Wisdom.

To lead is to accept responsibility and act responsibly.
— Quentin Schultze

Amazon and Microsoft announce Gluon, making deep learning accessible to all developers

On 10/13/2017, in Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, cloud-based computing / apps / other cloud-related, computer science, Google, human-computer interaction (HCI), Microsoft, platforms, programming, by Daniel Christian

AWS and Microsoft announce Gluon, making deep learning accessible to all developers — from news.microsoft.com
New open source deep learning interface allows developers to more easily and quickly build machine learning models without compromising training performance. Jointly developed reference specification makes it possible for Gluon to work with any deep learning engine; support for Apache MXNet available today and support for Microsoft Cognitive Toolkit coming soon.

Excerpt:

SEATTLE and REDMOND, Wash. — Oct. 12, 2017 — On Thursday, Amazon Web Services Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), and Microsoft Corp. (NASDAQ: MSFT) announced a new deep learning library, called Gluon, that allows developers of all skill levels to prototype, build, train and deploy sophisticated machine learning models for the cloud, devices at the edge and mobile apps. The Gluon interface currently works with Apache MXNet and will support Microsoft Cognitive Toolkit (CNTK) in an upcoming release. With the Gluon interface, developers can build machine learning models using a simple Python API and a range of prebuilt, optimized neural network components. This makes it easier for developers of all skill levels to build neural networks using simple, concise code, without sacrificing performance. AWS and Microsoft published Gluon’s reference specification so other deep learning engines can be integrated with the interface. To get started with the Gluon interface, visit https://github.com/gluon-api/gluon-api/.

Microsoft and Amazon struck a brilliant partnership to take on Google in the next big thing for cloud computing — from finance.yahoo.com Business Insider by Julie Bort

Excerpt:

Microsoft and Amazon announced a surprise partnership on Thursday in which they were jointly releasing for free a new software tool for developers called Gluon.
Gluon makes it easier for developers to build AI/machine learning systems, aka apps that can learn.
But there’s another, more important reason this partnership is interesting: it challenges Google in its one big area of dominance.

Top 10 Strategic Technology Trends for 2018 — from Gartner Research

Summary

The intelligent digital mesh is a foundation for future digital business and its ecosystems. To create competitive advantage, enterprise architecture and technology innovation leaders must evaluate these top trends to identify opportunities that their organizations can exploit.

Key Findings

Artificial intelligence (AI) delivers value to every industry, enabling new business models. It does so by supporting key initiatives such as customer engagement, digital production, smart cities, self-driving cars, risk management, computer vision and speech recognition.
As people, places, processes and “things” become increasingly digitalized, they will be represented by digital twins. This will provide fertile ground for new event-driven business processes and digitally enabled business models and ecosystems.
The way we interact with technology will undergo a radical transformation over the next five to 10 years. Conversational platforms, augmented reality, virtual reality and mixed reality will provide more natural and immersive interactions with the digital world.
A digital business is event-centric, which means it must be continuously sensing and adapting. The same applies to the security and risk infrastructure that supports it, which must focus on deceiving potential intruders and predicting security events.

Table of Contents

Analysis

Trend No. 1: AI Foundation
Today’s AI Is Narrow AI

Trend No. 2: Intelligent Apps and Analytics
Augmented Analytics Will Enable Users to Spend More Time Acting on Insights

Trend No. 3: Intelligent Things
Swarms of Intelligent Things Will Work Together

Trend No. 4: Digital Twins
Digital Twins Will Be Linked to Other Digital Entities

Trend No. 5: Cloud to the Edge
Edge Computing Brings Distributed Computing Into the Cloud Style

Trend No. 6: Conversational Platforms
Integration With Third-Party Services Will Further Increase Usefulness

Trend No. 7: Immersive Experience
VR and AR Can Help Increase Productivity

Trend No. 8: Blockchain
Blockchain Offers Significant Potential Long-Term Benefits Despite Its Challenges

Trend No. 9: Event-Driven Model
Events Will Become More Important in the Intelligent Digital Mesh

Trend No. 10: Continuous Adaptive Risk and Trust
Barriers Must Come Down Between Security and Application Teams

Gartner Recommended Reading

Also see:

AI, Merging of Digital and Physical Worlds Among Top 10 Tech Trends for 2018 — from campustechnology.com by Joshua Bolkan
Excerpt:
Gartner has released its list of top 10 strategic technology trends for 2018 with a focus for the coming year on technologies related to artificial intelligence and machine learning and those that blend the physical and digital worlds.

Top 200 Tools for Learning 2017 [Center for Learning & Performance Technologies; Jane Hart]

On 10/06/2017, in 21st century, Adobe, adult learning, Asia, blogs / blogging / vlogging, bots, business, Canada, CMS/LMS, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, creativity, design, digital audio, digital learning, digital storytelling, digital video, e-publishing related items (EPUB and more), education, education technology, educational games / serious games, elearning, Europe, Facebook / Meta Platforms, global / globalization, Google, heutagogy, higher education, India, learning, learning ecosystem, lifelong learning, Microsoft, mobile learning, MOOCs -- Massive Open Online Courses, multimedia, online learning, online media, RSS, social learning / networks, social media, staying relevant, storytelling, streams of content, student-related, teachers, teaching & learning, tools, training / L&D, trends, UK, United States, universities, vendors, wearables, web design and production, by Daniel Christian

Excerpt:

The Top 200 Tools for Learning 2017 (11th Annual Survey) has been compiled by Jane Hart of the Centre for Learning & Performance Technologies from the votes of 2,174 learning professionals worldwide, together with 3 sub-lists

Top 100 Tools for Personal & Professional Learning (PPL)
Top 100 Tools for Workplace Learning (WPL)
Top 100 Tools for Education (EDU)

Excerpt from the Analysis page (emphasis DSC):

Here is a brief analysis of what’s on the list and what it tells us about the current state of personal learning, workplace learning and education.

Some facts

The top 2 tools are the same as in 2016: YouTube and Google Search
PowerPoint moves up to #3, Word moves up to #6, Excel up 29 to #17
Twitter moves down to #5
66 tools moved up the list. Top 3 risers are Unsplash (up 71 places), Grammarly (up 70 places) and Snapchat (up 64 places
Messaging apps and team tools are particularly on the rise: Slack is now up 8 places to #12, Trello is up 21 places to #22, Microsoft Teams is another new tool in at #79
4 tools are BACK on the list: Google Alerts, IFTTT, Backpack and Hootsuite
52 NEW tools appear on the list this year – the highest entry is Typeform in at #55.
2 interesting new tools for augmented and virtual reality join the list – Aurasma, ENTiTi – as well as a chatbot system – Ultra Hal Assistant.

Some observations on what the Top Tools list tells us personal and professional learning
As in previous years, individuals continue to using a wide variety of:

networks, services and platforms for professional networking, communication and collaboration
web resources and courses for self-improvement and self-development
tools for personal productivity

All of which shows that many individuals have become highly independent, continuous modern professional learners – making their own decisions about what they need to learn and how to do it.

Learning Ecosystems

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Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.

***Are we ready for this?! ***

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

Categories

Tags

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!