Virtual Reality: A Great Fit for Employee Onboarding — from trainingindustry.com by Andrew Woodberry

Excerpts:

For jobs that are particularly dangerous or high-stress, introducing employees to the environment through virtual reality is a smart approach. In recent years, companies have created realistic VR applications that they have used to train people from surgeons to firefighters. Virtual reality gives new employees as close an approximation to their new workplace as they can have without actually needing to be physically present. The exposure to the simulated high-stress environment should, theoretically, make the VR users more comfortable when they actually face the real-world equivalent.

Tips for Adding VR to Onboarding

  1. Start with shorter VR onboarding videos.
  2. Add interactivity to generate a more memorable training experience.
  3. Measure the effectiveness of VR onboarding.

 

From DSC:
I appreciated that the article included the following sentence: “For industries without a lot of change, the VR training modules can be used for numerous years.”  This hints at the need to start small and be sure that your content won’t be changing all the time. If it does, VR may not be a good fit. It’s at least something to consider — along with the costs of the hardware to review/experience the training-related content (which are changing all of the time these days…and will likely continue to change for a while yet).

 

 

 

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:

 


 

 

 

 

 

 

 

From DSC:
Getting employees to make time for L&D needs to be based upon “what’s in it for them” — i.e., the main role of the L&D Team/Department should be to create the platforms and means by which employees can learn whatever they need to learn in order to do their jobs well (as well as to learn the skills necessary to move into those new areas that they’ve been wanting to move into). They’re going to find ways to do this anyway, why not give them the tools/knowledge of the tools and the platforms in order to better facilitate that learning to happen at a quicker pace?

An L&D Team could provide content curation services themselves and/or they could connect the employees with knowledgeable people. For example, give employees the key people to connect with who are doing their jobs really well.

For example, the L&D Team could maintain and provide a list of the top 10*:

  • Internal Sales employees to connect with and learn from, as well as the top 10 external Sales people to connect with and learn from (these people may or may not be in the same industry).
  • Internal Customer Service employees to connect with and learn from, as well as the top 10 external Customer Service people to connect with and learn from (these people may or may not be in the same industry).
  • Internal Marketing employees to connect with and learn from, as well as the top 10 external Marketing people to connect with and learn from (these people may or may not be in the same industry).
  • Etc.

 

* Or top 5, or top 50, or top whatever # that the L&D Team
thinks
would be most beneficial to the organization

 

I think each employee in the workforce needs to know about the power of RSS feeds and feed aggregators such as Feedly. In fact, I advocate that same approach for most every student in middle school, high school, and college as well. We need to be able to connect with others and tap into streams of content being produced — as well as contribute to those streams of content as well. Blogs, Twitter, LinkedIn, CMSs/LMSs, etc. can provide beneficial streams of content.

 

“And learners are evolving at a quicker pace than the learning programs that support them.”

 

Also, based upon the above image, I find it interesting that the corporate L&D teams are struggling with what higher education has been struggling with as well — i.e., predicting which skills will be needed and responding as quickly as possible in order to develop the necessary learning modules/RSS feeds/content/etc. to remain up-to-date. Actually, I suspect that it’s not that the learners are evolving at a quicker pace than the learning programs that support them, rather its the required skills and needs of the positions that are evolving at a quicker pace than the learning programs that support them.

Our institutions and our L&D Departments are simply not used to this pace of change. No one is.

We need better mechanisms of dealing with this new pace of change.

One last random thought here…perhaps a portion of the L&D department will morph into creating bots for internal employees, helping answer questions at the point of need.

 

 

 

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

 

 

 

Does Your Learning Ecosystem Support Current and Future Needs? — from learningsolutionsmag.com by Andrew Hughes

Excerpts:

As L&D, we need to change the way we manage learning and training for our new and existing workforce. In fact, you should give up the idea of managing their learning at all! It is not your responsibility anymore. Instead, aim to create a culture of continuous learning and curiosity. Equip your employees with technology and tools that encourage them to collaborate, connect, and learn when they need to. You can no longer treat work and learning as different entities, because your employees need to learn all the time if you want to retain your competitive edge. They need to soak in all the information coming to them from all around and apply it to their work.

You will need to help build a technology-enabled learning ecosystem to support this trend of self-learning.

Your employees are no longer limited to learning at a specific time in a physical venue. Mobile devices and learning apps have ensured that learners can access learning content whenever and wherever they wish. They can choose their own learning path and mode of learning—videos, podcasts, text-based content, game-based modules, and so on. Learning should be a personal endeavor. If you allow your learners to choose what they wish to learn, then they can decide on the skills they need in order to excel in the real world. This gives more power to your content and makes learning meaningful to the learners.

 

 

 

Here are the top four trends that you should keep in mind while working on your corporate training strategy.

  • Trend #1: Serious games
  • Trend #2: Augmented and virtual reality
  • Trend #3: Mobile learning
  • Trend #4: Wearable technologies

 

 

These Are the Skills of the Future, According to 39 Industry Experts — from linkedin.com by Paul Petrone

Excerpts:

There’s a misconception out there that the future of work will be robots and artificial intelligence automating all the jobs, leaving nothing for majority of the world’s citizens to do.

History says that’s not the case. Over the past 120 years, there have been incredible technological advancements – cars, personal computers, the internet, smartphones, etc. – that have automated or eliminated aspects of nearly every job. But jobs haven’t gone away; instead, they’ve generally become more complex or changed scope, requiring new skills to complete them.

Hence, over the next five years, with AI and other technologies changing the market, jobs won’t go away. But the skills needed to do most jobs will change (and, in many cases, change drastically).

This sounds scary, but it really isn’t. Preparing for the future merely requires a commitment to learning – one of the most empowering activities a person can engage in. And, with all this change comes great opportunity. So, if you commit to learning and stay ahead of your industry, you’ll put yourself in position to reach your goals – regardless of where you stand now.

And while those answers were all specific to their individual fields, there were three skills we saw again and again that apply to all professionals moving forward. They are:

* A growth mindset
* Strategy
* Employee empowerment

 

 

 

Global Human Capital Report 2017 — from the World Economic Forum

Excerpt from the Conclusion section (emphasis DSC):

Technological change and its impact on labour markets calls for a renewed focus on how the world’s human capital is invested in and leveraged for social well-being and economic prosperity for all. Many of today’s education systems are already disconnected from the skills needed to function in today’s labour markets and the exponential rate of technological and economic change is further increasing the gap between education and labour markets. Furthermore, the premise of current education systems is on developing cognitive skills, yet behavioural and non-cognitive skills that nurture an individual’s capacity to collaborate, innovate, self-direct and problem-solve are increasingly important. Current education systems are also time-compressed in a way that may not be suited to current or future labour markets. They force narrow career and expertise decisions in early youth. The divide between formal education and the labour market needs to be overcome, as learning, R&D, knowledge-sharing, retraining and innovation take place simultaneously throughout the work life cycle, regardless of the job, level or industry.

 

Insert from DSC…again I ask:

Is is time to back up a major step and practice design thinking on the entire continuum of lifelong learning?”

 

Education delivery and financing mechanisms have gone through little change over the last decades. In many countries, many youth and children may find their paths constrained depending on the type of education they are able to afford, while others may not have access to even basic literacy and learning. On the other hand, many developed world education systems have made enormous increases in spending—with little explicit return. Early childhood education and teacher quality remain neglected areas in many developed and developing countries, despite their proven impact on learning outcomes. Both areas also suffer from lack of objective, global data.

Generational shifts also necessitate an urgent focus by governments on human capital investments, one that transcends political cycles. Ageing economies will face a historical first, as more and more of their populations cross into the 65 and over age group and their workforces shrink further, necessitating a better integration of youth, female workers, migrants and older workers. Many emerging economies face change of a different kind as a very large cohort of the next generation—one that is more connected and globalized than ever before—enters the workforce with very different aspirations, expectations and worldviews than their predecessors.

The expansion of the digital economy is accelerating the presence of a new kind of productive entity, somewhere between human capital and physical capital—robots and intelligent algorithms. As a result, some experts expect a potential reduction in the use of human labour as part of economic value creation while others expect a restructuring of the work done by people across economies but stable or growing overall levels of employment.19 Yet others have cautioned of the risks to economic productivity of technological reticence at the cost of realizing the raw potential of new technological advancements unfettered.20 While in the immediate term the link between work and livelihoods remains a basic feature of our societies, the uncertainty around the shifts underway poses fundamental questions about the long-term future structure of economies, societies and work. However, for broad-based transition and successful adaptation towards any one of these or other long-term futures, strategic and deep investments in human capital will be even more—not less—important than before.

 

 

 

 

From DSC:
The article below caused me to reflect on the idea of using Income Share Agreements (ISAs) as a way for students to get through college these days. Although I appreciate that others are trying to help students get through college — an admirable goal for sure and one that I wholeheartedly share — I don’t like the means/method being proposed here. Why? Because I’m concerned that ISAs don’t offer any incentives for colleges and universities to lower their prices in the first place. The burden of debt is just spread out into the future. In fact, one could easily imagine the costs of obtaining a degree to continue to increase, because the immediate impact of the debt isn’t felt right now…it’s spread out over one’s future. The problem becomes invisible again, making it once again easy for those working within higher education to ignore.

So I hope this method doesn’t take off (as I understand it); instead, I hope that we can figure out better ways to reduce the price of obtaining a degree. Technology should be of use here.

 

Students Get Tuition Aid for a Piece of Their Future — from wsj.com by Jillian Berman
Income share agreements seem poised to take off, as costs and debt loads rise

Excerpt:

To help pay for ever-growing college costs, more students may soon be trying a new approach: selling rights to their future earnings.

Long discussed in college policy and financing circles, income share agreements, or ISAs, are poised to become more mainstream. A handful of backers currently exist that in effect have invested in college students’ futures by advancing them thousands of dollars in tuition money to bridge gaps in financing when student loans don’t quite meet all of their expenses.

Under the terms of a typical ISA, students agree to pay a percentage of their future earnings for a predetermined period in exchange for help up front with their tuition. Now, more students may have the opportunity to enter such deals, as lawmakers in Congress are working on possible ground rules for the agreements.

 

 

 

 

Under the Hood: Learning Design Behind Georgia Tech’s Degrees at Scale — from evolllution.com by Shabana Figueroa and Yakut Gazi

Excerpt:

Rolling out the MM program in May and the degree program in August meant design coordination and creation of eight new online courses in less than a year. We needed a new approach that employed strategies for efficiency and effectiveness.

The Learning Design Team
GTPE’s learning design team partners with faculty members to develop their online courses from start to end, providing the heavy lifting for course production. A director of learning design oversees both the instructional design and production aspects of the course production across the entire program. This cross-functional team approach eliminates the silos created by independent instructional design and studio production teams, which in turn, minimizes hand-off points, decreases friction among teams, allows for long-term thinking that leads to smarter course design and development decisions, provides fluidity of talent and roles within the team, and fuels productivity.

…the paradigm shift to a learner-focused, team-based approach to course production and delivery, and collaboration of campus partners and groups…

 

 

From DSC:
Note the use of a team-based approach here. I think that the team-based approach will be the most beneficial to the world at large. Those teams will be able to deliver a high-quality learning experience, with high production values and carefully planned/crafted instructional designs. 

 



Also see:

Learning How to Learn: Anatomy of a good MOOC — from linkedin.com by Bill Ferster

Excerpts:

Barbara Oakley’s MOOC, Learning How to Learn [2] is the exception to this trend. It is well-produced, informative, and fully embraces the new medium. With over 2 million registered students and completion rates of over 20% [3], (the average MOOC completion rate is 5%), Learning How to Learn is clearly resonating with its audience.

The question is why is it so popular? Intrigued, I enrolled the short MOOC to understand why it was so popular, and what lessons it might have for other MOOC authors to make their offerings more effective their “filmed plays.”

Oakley has clearly bucked the overall MOOC trend and has made good use of the inexpensive technologies with well-lit scenes that are clearly edited and make use of the green screen overlay technologies found in her Adobe Premiere video editor. She used a large teleprompter to ensure a fluid delivery of her message and high-quality audio.

Learning to Learn is effective because Oakley put a significant amount of effort making it effective. Good content, coupled with high production values, and sound pedagogy take time to produce and clearly pays off in the final product.

 



 

 

A survey of 3,000 executives reveals how businesses succeed with AI — from hbr.org by Jacques Bughin, Brian McCarthy, Michael Chui

Excerpt:

The buzz over artificial intelligence (AI) has grown loud enough to penetrate the C-suites of organizations around the world, and for good reason. Investment in AI is growing and is increasingly coming from organizations outside the tech space. And AI success stories are becoming more numerous and diverse, from Amazon reaping operational efficiencies using its AI-powered Kiva warehouse robots, to GE keeping its industrial equipment running by leveraging AI for predictive maintenance.

While it’s clear that CEOs need to consider AI’s business implications, the technology’s nascence in business settings makes it less clear how to profitably employ it. Through a study of AI that included a survey of 3,073 executives and 160 case studies across 14 sectors and 10 countries, and through a separate digital research program, we have identified 10 key insights CEOs need to know to embark on a successful AI journey.

 

 

Make no mistake: The next digital frontier is here, and it’s AI. While some firms are still reeling from previous digital disruptions, a new one is taking shape. But it’s early days. There’s still time to make AI a competitive advantage.

 

 

 

IBM and MIT to Pursue Joint Research in Artificial Intelligence, Establish New MIT-IBM Watson AI Lab — from  by
IBM plans to make a 10-Year, $240 Million Investment in new lab with MIT to advance AI hardware and software and algorithms

Excerpt:

CAMBRIDGE, Mass., Sept. 7, 2017 /PRNewswire/ — IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

 

The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research…

 

 

 

From DSC:
When you read the article below, notice how many times these CIO’s mention that they’re tapping into streams of content

 


 

How to stay current with emerging tech: CIO tips — from enterprisersproject.com by Carla Rudder
CIOs from Target, CVS Health, GE, and others share strategies for keeping up with the latest technologies

Excerpts:

I spend a fair amount of time looking at LinkedIn and Twitter. I’m particular about what I subscribe to. I see what people are interested in, so these social networks are good sources of information.

First, I set up Google alerts on topics that are of interest to me. I can skim these daily to keep abreast of what’s happening.

On the top-down side, I employ some different tactics. For example, I love using the Flipboard app to find relevant technology new stories targeted to my preferences. Also, I enjoy reading as much as I can about management and macro trends in technology and society.

First, pick some new media and follow it regularly. Examples that come to mind are Quartz, Vox, and Slate. Then, seek a balanced perspective from traditional media like The Wall Street Journal, The New York Times, The Atlantic, and The Economist.

When I can’t get out to conferences, I watch TED Talks. In fact, I watch a lot of talks that have nothing to do with IT, but they certainly help with leadership.

 


 

 

 

 

 

 
© 2017 | Daniel Christian