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:

 

Amazon Alexa Store -- has over 24,000 skills as of November 29, 2017

 

 

 

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

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

 

 

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

 

 

Faculty Predict Virtual/Augmented/Mixed Reality Will Be Key to Ed Tech in 10 Years — from campustechnology.com by Rhea Kelly
Faculty in our 2017 Teaching with Technology Survey believe tech will play a positive role in the future of higher education — but some technologies will be more important than others.

Excerpt:

What technologies do faculty think will be important in education over the next decade? The most popular answer to that question by far was virtual/augmented/mixed reality, garnering 81 percent of responses (it topped the list last year as well). Mobile devices and apps, 3D modeling/scanning/printing, adaptive/personalized learning and video/streaming all rounded out the top five.

 

 

 

 

 

From DSC:
Great to see several of these items made the list. I would also add:

  • The use of Natural Language Processing (NLP) to allow more voice-enabled and voice-driven applications
  • Learning agents/bots (for example, a learning-related bot could go find out the top 50-100 jobs that employers are hiring for and present a list of potential digital playlists from a variety of providers that would help potential employees be able to do the work in those positions)
  • Blockchain and the use of web-based learner profiles
  • Artificial Intelligence / cognitive computing (which could be argued is already mentioned in the item re: adaptive, personalized learning)
  • Moving towards providing up-to-date streams of content (for purposes of lifelong learning and microlearning)

 Finally, it was great to see #9 on the list as I, too, believe that a next gen learning platform is needed:

 

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

 

 

 

Google’s jobs AI service hits private beta, now works in 100 languages — from venturebeat.com by Blair Hanley Frank

Excerpt:

Google today announced the beta release of its Cloud Job Discovery service, which uses artificial intelligence to help customers connect job vacancies with the people who can fill them.

Formerly known as the Cloud Jobs API, the system is designed to take information about open positions and help job seekers take better advantage of it. For example, Cloud Job Discovery can take a plain language query and help translate that to the specific jargon employers use to describe their positions, something that can be hard for potential employees to navigate.

As part of this beta release, Google announced that Cloud Job Discovery is now designed to work with applicant-tracking systems and staffing agencies, in addition to job boards and career site providers like CareerBuilder.

It also now works in 100 languages. While the service is still primarily aimed at customers in the U.S., some of Google’s existing clients need support for multiple languages. In the future, the company plans to expand the Cloud Job Discovery service internationally, so investing in language support now makes sense going forward.

 



From DSC:
Now tie this type of job discovery feature into a next generation learning platform, helping people identify which skills they need to get jobs in their local area(s). Provide a list of courses/modules/RSS feeds to get them started. Allow folks to subscribe to constant streams of content and unsubscribe to them at any time as well.

 

 

We MUST move to lifelong, constant learning via means that are highly accessible, available 24×7, and extremely cost effective. Blockchain-based technologies will feed web-based learner profiles, which each of us will determine who can write to our learning profile and who can review it as well.

 

 

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

 

 

 

 

 



Addendum on 9/29/17:



  • Facebook partners with ZipRecruiter and more aggregators as it ramps up in jobs — from techcrunch.com by Ingrid Lunden
    Excerpt:
    Facebook has made no secret of its wish to do more in the online recruitment market — encroaching on territory today dominated by LinkedIn, the leader in tapping social networking graphs to boost job-hunting. Today, Facebook is taking the next step in that process.
    Facebook will now integrate with ZipRecruiter — an aggregator that allows those looking to fill jobs to post ads to many traditional job boards, as well as sites like LinkedIn, Google and Twitter — to boost the number of job ads available on its platform targeting its 2 billion monthly active users.
    The move follows Facebook launching its first job ads earlier this year, and later appearing to be interested in augmenting that with more career-focused features, such as a platform to connect people looking for mentors with those looking to offer mentorship.

 

 

 

Six reasons why disruption is coming to learning departments — from feathercap.net, with thanks to Mr. Tim Seager for this resource

Excerpts:

  1. Training materials and interactions will not just be pre-built courses but any structured or unstructured content available to the organization.
  2. Curation of all learning, employee or any useful organizational content will become a whole lot easier.
  3. The learning department won’t have to build it all themselves.
  4. Learning bots and voice enabled learning.
  5. Current workplace learning systems and LMSs will go through a big transition or they will lose relevancy.
  6. Learning departments will go beyond onboarding, compliance training and leadership training and move to training everyone in the company on all job skills.

 

A successful example of this is Amazon.com. As a shopper on their site we have access to millions of  book and product SKUs. Amazon uses a combination of all three techniques to position the right book or product based on our behavior, peer experiences as well as having a semantic understanding of the product page we’re viewing. There’s no reason we can’t have the same experience on workplace learning systems where all viable learning content/ company content could be organized and disseminated to each learner for the right time and circumstance.

 

 



From DSC:
Several items of what Feathercap is saying in their solid posting remind me of a vision of a next generation learning platform:

  • Contributing to — and tapping into — streams of content
  • Lifelong learning and reinventing oneself
  • Artificial intelligence, including Natural Language Processing (NLP) and the use of voice to drive systems/functionality
  • Learning agents/bots
  • 24×7 access
  • Structured and unstructured learning
  • Socially-based means of learning
  • …and more

 

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

 



 

 

Future Forward: The Next Twenty Years of Higher Education — from Blackboard with a variety of contributors

Excerpts:

As you read their reflections you’ll find several themes emerge over and over:

  • Our current system is unsustainable and ill-suited for a globally connected world that is constantly changing.
  • Colleges and universities will have to change their current business model to continue to thrive, boost revenue and drive enrollment.
  • The “sage on the stage” and the “doc in the box” aren’t sustainable; new technologies will allow faculty to shift their focus on the application of learning rather than the acquisition of knowledge.
  • Data and the ability to transform that data into action will be the new lifeblood of the institution.
  • Finally, the heart and soul of any institution are its people. Adopting new technologies is only a small piece of the puzzle; institutions must also work with faculty and staff to change institutional culture.

Some quotes are listed below.

 

“What’s more, next-generation digital learning environments must bridge the divide between the faculty-directed instructivist model our colleges and universities have always favored and the learner-centric constructivist paradigm their students have come to expect and the economy now demands.”

It will be at least 10 years before systems such as this become the standard rather than the exception. Yet to achieve this timeline, we will have to begin fostering a very different campus culture that embraces technology for its experiential value rather than its transactional expediency, while viewing education as a lifelong pursuit rather than a degree-driven activity.

Susan Aldridge

 

 

 

Q: What are the biggest challenges facing higher education right now?

A: I think it is a difficult time for decisionmakers to know how to move boldly forward. It’s almost funny, nobody’s doing five-year strategic plans anymore. We used to do ten-year plans, but now it’s “What’s our guiding set of principles and then let’s sort of generally go towards that.” I think it’s really hard to move an entire institution, to know how to keep it sustainable and serving your core student population. Trying to figure out how to keep moving forward is not as simple as it used to be when you hired faculty and they showed up in the classroom. It’s time for a whole new leadership model. I’m not sure what that is, but we have to start reimagining our organizations and our institutions and even our leadership.

Marie Cini

 

 

 

One of the things that is frustrating to me is the argument that online learning is just another modality. Online learning is much more than that. It’s arguably the most transformative development since the G.I. Bill and, before that, the establishment of land-grant universities. 

I don’t think we should underestimate the profound impact online education has had and will continue to have on higher education. It’s not just another modality; it’s an entirely new industry.

Robert Hansen

 

 

From DSC:
And I would add (to Robert’s quote above) that not since the printing press was invented close to 500 years ago have we seen such an enormously powerful invention as the Internet. To bypass the Internet and the online-based learning opportunities that it can deliver is to move into a risky, potentially dangerous future. If your institution is doing that, your institution’s days could be numbered. As we move into the future — where numerous societies throughout the globe will be full of artificial intelligence, big data, robotics, algorithms, business’ digital transformations, and more — your institutions’ credibility could easily be at stake in a new, increasingly impactful way. Parents and students will want to know that there’s a solid ROI for them. They will want to know that a particular college or university has the foundational/core competencies and skills to prepare the learner for the future that the learner will encounter.

 

 

 

Q: What are the biggest challenges facing higher education right now?

A: I think the biggest challenge is the stubborn refusal of institutions to acknowledge that the 20th century university paradigm no longer works, or at least it doesn’t work anymore for the majority of our institutions. I’m not speaking on behalf of our members, but I think it’s fair to say that institutions are still almost entirely faculty-centered and not market-driven. Faculty, like so many university leaders today who come from faculty ranks, are so often ill-equipped to compete in the Wild West that we’re seeing today, and it’s not their fault. They’re trained to be biologists and historians and philosophers and musicians and English professors, and in the past there was very little need to be entrepreneurial. What’s required of university leadership now looks very much like what’s required in the fastpaced world of private industry.

If you are tuition dependent and you haven’t figured out how to serve the adult market yet, you’re in trouble.

Robert Hansen

 

 

 

It’s not just enough to put something online for autodidacts who already have the time, energy, and prior skills to be able to learn on their own. You really need to figure out how to embed all the supports that a student will need to be successful, and I don’t know if we’ve cracked that yet.

Amy Laitinen

 

 

 

The other company is Amazon. Their recent purchase of Whole Foods really surprised everybody. Now you have a massive digital retailer that has made billions staying in the online world going backwards into brick-and-mortar. I think if you look at what you can do on Amazon now, who’s to say in three years or five years, you won’t say, “You know what, I want to take this class. I want to purchase it through Amazon,” and it’s done through Amazon with their own LMS? Who’s to say they’re not already working on it?

Justin Louder

 

 

 

 

We are focused on four at Laureate. Probably in an increasing order of excitement to me are game-based learning (or gamification), adaptive learning, augmented and virtual reality, and cognitive tutoring.

Darrell Luzzo

 

 

 

 

I would wave my hand and have people lose their fear of change and recognize that you can innovate and do new things and still stay true to the core mission and values. My hope is that we harness our collective energy to help our students succeed and become fully engaged citizens.

Felice Nudelman

 

 

 

 

 

Why Natural Language Processing is the Future of Business Intelligence — from dzone.com by Gur Tirosh
Until now, we have been interacting with computers in a way that they understand, rather than us. We have learned their language. But now, they’re learning ours.

Excerpt:

Every time you ask Siri for directions, a complex chain of cutting-edge code is activated. It allows “her” to understand your question, find the information you’re looking for, and respond to you in a language that you understand. This has only become possible in the last few years. Until now, we have been interacting with computers in a way that they understand, rather than us. We have learned their language.

But now, they’re learning ours.

The technology underpinning this revolution in human-computer relations is Natural Language Processing (NLP). And it’s already transforming BI, in ways that go far beyond simply making the interface easier. Before long, business transforming, life changing information will be discovered merely by talking with a chatbot.

This future is not far away. In some ways, it’s already here.

What Is Natural Language Processing?
NLP, otherwise known as computational linguistics, is the combination of Machine Learning, AI, and linguistics that allows us to talk to machines as if they were human.

 

 

But NLP aims to eventually render GUIs — even UIs — obsolete, so that interacting with a machine is as easy as talking to a human.

 

 

 

 

From DSC:
Reviewing the article below made me think of 2 potential additions to the Learning & Development Groups/Departments out there:

  1. Help people build their own learning ecosystems
  2. Design, develop, and implement workbots for self-service

 



 

Chatbots Poised to Revolutionize HR — from by Pratibha Nanduri

Excerpt:

Self-service is becoming an increasingly popular trend where people want to perform their tasks without needing help or input from anyone else. The increasing popularity of this trend is mainly attributed to the increasing use of computers and mobile devices to electronically manage all kinds of tasks.

As employee tolerance for downtime reduces and preferences for mobility increases, the bureaucracy which exists in managing everyday HR related tasks in the workplace will also have to be replaced. A large number of companies have still not automated even their basic HR services such as handling inquiries about holidays and leaves. Employees in such organizations still have to send their query and then wait for HR to respond.

As the number of employees goes up in an organization, the time taken by HR managers to respond to mundane admin tasks also increases. This leaves very little time for the HR manager to focus on strategic HR initiatives.

Chatbots that are powered by AI and machine learning are increasingly being used to automate mundane and repetitive tasks. They can also be leveraged in HR to simulate intelligent SMS-based conversations between employees and HR team members to automate basic HR tasks.

 



 

 

Amazon’s Alexa passes 15,000 skills, up from 10,000 in February — from techcrunch.com by Sarah Perez

Excerpt:

Amazon’s Alexa voice platform has now passed 15,000 skills — the voice-powered apps that run on devices like the Echo speaker, Echo Dot, newer Echo Show and others. The figure is up from the 10,000 skills Amazon officially announced back in February, which had then represented a 3x increase from September.

The new 15,000 figure was first reported via third-party analysis from Voicebot, and Amazon has now confirmed to TechCrunch that the number is accurate.

According to Voicebot, which only analyzed skills in the U.S., the milestone was reached for the first time on June 30, 2017. During the month of June, new skill introductions increased by 23 percent, up from the less than 10 percent growth that was seen in each of the prior three months.

The milestone also represents a more than doubling of the number of skills that were available at the beginning of the year, when Voicebot reported there were then 7,000 skills. That number was officially confirmed by Amazon at CES.

 

 


From DSC:
Again, I wonder…what are the implications for learning from this new, developing platform?


 

 

Video: 4 FAQs about Watson as tutor — from er.educause.edu by Satya Nitta

Excerpt:

How is IBM using Watson’s intelligent tutoring system? So we are attempting to mimic the best practices of human tutoring. The gold standard will always remain one on one human to human tutoring. The whole idea here is an intelligent tutoring system as a computing system that works autonomously with learners, so there is no human intervention. It’s basically pretending to be the teacher itself and it’s working with the learner. What we’re attempting to do is we’re attempting to basically put conversational systems, systems that understand human conversation and dialogue, and we’re trying to build a system that, in a very natural way, interacts with people through conversation. The system basically has the ability to ask questions, to answer questions, to know who you are and where you are in your learning journey, what you’re struggling with, what you’re strong on and it will personalize its pedagogy to you.

There’s a natural language understanding system and a machine learning system that’s trying to figure out where you are in your learning journey and what the appropriate intervention is for you. The natural language system enables this interaction that’s very rich and conversation-based, where you can basically have a human-like conversation with it and, to a large extent, it will try to understand and to retrieve the right things for you. Again the most important thing is that we will set the expectations appropriately and we have appropriate exit criteria for when the system doesn’t actually understand what you’re trying to do.

 

 

 

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