Modular, stackable learning — What it means and why it will transform learning in the workplace — from linkedin.com by Anant Agarwal

Excerpt:

One example is by unbundling the traditional learning “packages” — Associate’s, Bachelor’s, and Master’s degrees — into more manageable learning chunks that are also tied to real career and life outcomes. This is what we call modular learning, and it’s the foundation of all the programs available on edX. Modular learning enables working professionals to learn new skills in shorter amounts of time, even while they work, and those seeking a degree are able to do so in a much more attainable way. They also earn credentials for the smaller modules of learning, thereby garnering value and positive feedback early in the process of advancing towards full degrees. This early positive feedback also increases motivation for learners to persist towards the full degree, if that is their goal.

 

How technology and law changes for career development — from lawtechnologytoday.org by Manan Ghadawala

Excerpt:

But things have been changing in technology and law over the years. Let us look at these developments in technology and law and also see how technology already [is] — and will — impact legal careers.

Joni Pirovich from Hall & Wilcox explained, “As technology trends are pervasive across all industries, it’s now incumbent upon law firms to ensure lawyers have a good starting language to interpret technology concepts and how they interact with legal principles.”

The increase in law firm technology did surprise some people. Forbes found out that there was a 713% jump in investments in technology for law firms in 2018—almost 1.63 billion USD—bolstered mostly by the arrival of eDiscovery, which is an electronic method for finding important information specific investigations or suits.

#Automation #MachineLearning #AI #BigData

 

 

A.I. breakthroughs in natural-language processing are big for business — from fortune.com by Jeremy Kahn

Excerpt:

Over the past 18 months, though, computer scientists have made huge strides in creating algorithms with unprecedented abilities at a variety of language tasks. What’s more, these new algorithms are making the leap from the lab and into real products at a breakneck pace—already changing the way tech’s biggest players, and many other businesses, operate. The Natural Language Processing (NLP) revolution promises better search engines and smarter chatbots and digital assistants. It could lead to systems that automatically analyze—and maybe even compose— legal documents and medical records. But some believe the NLP revolution will do far more.

 

20 digital transformation leaders to follow on Twitter in 2020 — from enterprisersproject.com by David. F. Carr
Committed to digital transformation this year? Follow these people for perspective and emerging lessons

Excerpt:

One of our New Year’s resolutions was to refresh and expand our Twitter feed for digital transformation leaders, reviewing them not just for the use of the right hashtags but for the content they share.

There are a few repeats from a similar list we shared last year, but for the most part, we tried to give you new Twitter handles to follow. This year’s list includes CIOs, authors, consultants, and cloud computing leaders. Some only post on technology topics, while others share thoughts on family, culture, politics, and favorite movies.

The common denominator we looked for was a thoughtfully curated feed that’s not entirely self-promotional but adds to the conversation we’re all having about how to understand the potential of digital transformation and put it to work for our organizations.


From DSC:

While these types of lists invariably leave off a ton of extremely talented individuals and organizations who are worth following as well, such lists are a good starting point for:

  • Someone to use to begin tapping into streams of content in a given area
  • Observing the topics, issues, ideas being discussed
  • Building one’s network
  • Seeing who these folks follow and who they respect
  • …and more.

Searching for the top __ people of Twitter in subject XYZ is a solid way to enhance our [lifelong] learning ecosystems.

 

From DSC:
I’ll say it again, just because we can, doesn’t mean we should.

From the article below…we can see another unintended consequence is developing on society’s landscapes. I really wish the 20 and 30 somethings that are being hired by the big tech companies — especially at Amazon, Facebook, Google, Apple, and Microsoft — who are developing these things would ask themselves:

  • “Just because we can develop this system/software/application/etc., SHOULD we be developing it?”
  • What might the negative consequences be? 
  • Do the positive contributions outweigh the negative impacts…or not?

To colleges professors and teachers:
Please pass these thoughts onto your students now, so that this internal questioning/conversations begin to take place in K-16.


Report: Colleges Must Teach ‘Algorithm Literacy’ to Help Students Navigate Internet — from edsurge.com by Rebecca Koenig

Excerpt (emphasis DSC):

If the Ancient Mariner were sailing on the internet’s open seas, he might conclude there’s information everywhere, but nary a drop to drink.

That’s how many college students feel, anyway. A new report published this week about undergraduates’ impressions of internet algorithms reveals students are skeptical of and unnerved by tools that track their digital travels and serve them personalized content like advertisements and social media posts.

And some students feel like they’ve largely been left to navigate the internet’s murky waters alone, without adequate guidance from teachers and professors.

Researchers set out to learn “how aware students are about their information being manipulated, gathered and interacted with,” said Alison Head, founder and director of Project Information Literacy, in an interview with EdSurge. “Where does that awareness drop off?”

They found that many students not only have personal concerns about how algorithms compromise their own data privacy but also recognize the broader, possibly negative implications of tools that segment and customize search results and news feeds.

 

Gen Zers and Millennials More Likely Than Older Generations to Embrace Continuous Learning; Also Feel More Stressed by Pressure to Learn New Skills — from prweb.com

Excerpt:

BOSTON (PRWEB) JANUARY 14, 2020
When it comes to updating professional skills, continuous learning is more important to Millennials and adult Gen Zers than to Gen Xers and Baby Boomers, according to a survey of 1,048 adults, conducted by getAbstract, a company that summarizes top business books, articles and videos.

More than half of Millennials (58 percent) and adult Gen Zers (52 percent) said success in their careers depends on updating their skills and knowledge frequently, compared with 35 percent of Gen Xers and 34 percent of Baby Boomers.

However, younger workers are also more likely to feel stressed about the need to continuously update their skills and knowledge. Almost one-third (31 percent) of Millennials and Gen Zers said engaging in continuous learning stressed them out, compared with 19 percent of Gen Xers and 15 percent of Baby Boomers.

 

Excerpts:

We see the AI space poised for an acceleration in adoption, driven by more sophisticated AI models being put in production, specialized hardware that increases AI’s capacity to provide quicker results based on larger datasets, simplified tools that democratize access to the entire AI stack, small tools that enables AI on nearly any device, and cloud access to AI tools that allow access to AI resources from anywhere.

To fully take advantage of AI technologies, you’ll need to retrain your entire organization.

 

CES 2020: Finding reality in a deluge of utopia — from web-strategist.com by Jeremiah Owyang

Excerpts:

One of my strategies is to look past the products that were announced, and instead find the new technologies that will shed light on which products will emerge such as sensors and data types.

The trick to approaching CES: Look for what creates the data, then analyze how it will be used, therein lies the power/leverage/business model of the future.

Sharp’s augmented windows give us an interesting glimpse of what retail could look like if every window was a transparent screen…

Rivian, the new electric truck company, which is funded by both Ford and Amazon was featured at the Amazon booth, with a large crowd, each wheel has an independent motor and it’s Alexa integrated – watch out Cybertruck.

Caution: “Data leakage” (where your data ends up in places you didn’t expect) is frightening, and people will start to care. The amount of devices present, that offer data collection to unknown companies in unknown countries is truly astounding. Both from a personal, business, and national security perspective, consumers and businesses alike really don’t know the ramifications of all of this data sharing.

Also see:

 

DC: Precursor to a next gen learning platform…? Another piece is falling into place.

 

The inaugural winners of Training Magazine’s Network Choice Awards — from trainingmag.com
Training magazine reveals the winners of its inaugural crowd-sourced vendor awards program: the 2019 Training Magazine Network Choice Awards.

Categories include:

  • Authoring Tools
  • Custom Content/Program Development
  • Gamification
  • Learning Portal/Learning Management System (LMS)
  • Measurement, Testing, and Assessment

 

 

8 digital transformation trends for 2020 — from enterprisersproject.com by Stephanie Overby
Having some digital transformation fatigue on your team? You’re not alone: Here’s what else to watch for in the year ahead, digital leaders

Excerpts:

“2020 will still see the rapid scaling of digital initiatives across industries,” says Steve Hall, partner and president of global technology research and advisory firm ISG. “In many areas, CIOs and organizations have prepped their organizations for change but haven’t made the full leap to transforming their culture to fully embrace the change.”

Trends mentioned include:

  1. Digital operating models become mandatory
  2. More data, more problems
  3. AI takes center stage
  4. M&A shakes up IT services
  5. New digital transformation allies emerge
  6. Public cloud adoption expands
  7. New digital transformation metrics will emerge
  8. IT takes the long view on digital insights

 

 

 

Learning from the living class room

 

7 Artificial Intelligence Trends to Watch in 2020 — from interestingengineering.com by Christopher McFadden

Excerpts:

Per this article, the following trends were listed:

  1. Computer Graphics will greatly benefit from AI
  2. Deepfakes will only get better, er, worse
  3. Predictive text should get better and better
  4. Ethics will become more important as time goes by
  5. Quantum computing will supercharge AI
  6. Facial recognition will appear in more places
  7. AI will help in the optimization of production pipelines

Also, this article listed several more trends:

According to sources like The Next Web, some of the main AI trends for 2020 include:

  • The use of AI to make healthcare more accurate and less costly
  • Greater attention paid to explainability and trust
  • AI becoming less data-hungry
  • Improved accuracy and efficiency of neural networks
  • Automated AI development
  • Expanded use of AI in manufacturing
  • Geopolitical implications for the uses of AI

Artificial Intelligence offers great potential and great risks for humans in the future. While still in its infancy, it is already being employed in some interesting ways.

According to sources like Forbes, some of the next “big things” in technology include, but are not limited to:

  • Blockchain
  • Blockchain As A Service
  • AI-Led Automation
  • Machine Learning
  • Enterprise Content Management
  • AI For The Back Office
  • Quantum Computing AI Applications
  • Mainstreamed IoT

Also see:

Artificial intelligence predictions for 2020: 16 experts have their say — from verdict.co.uk by Ellen Daniel

Excerpts:

  • Organisations will build in processes and policies to prevent and address potential biases in AI
  • Deepfakes will become a serious threat to corporations
  • Candidate (and employee) care in the world of artificial intelligence
  • AI will augment humans, not replace them
  • Greater demand for AI understanding
  • Ramp up in autonomous vehicles
  • To fully take advantage of AI technologies, you’ll need to retrain your entire organisation
  • Voice technologies will infiltrate the office
  • IT will run itself while data acquires its own DNA
  • The ethics of AI
  • Health data and AI
  • AI to become an intrinsic part of robotic process automation (RPA)
  • BERT will open up a whole new world of deep learning use cases

The hottest trend in the industry right now is in Natural Language Processing (NLP). Over the past year, a new method called BERT (Bidirectional Encoder Representations from Transformers) has been developed for designing neural networks that work with text. Now, we suddenly have models that will understand the semantic meaning of what’s in text, going beyond the basics. This creates a lot more opportunity for deep learning to be used more widely.

 

 

Coming down the pike: A next generation, global learning platform [Christian]

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

Learning from the living class room

 

Learning from the living class room

 

Learning from the living class room

 

The 10 vital skills you will need for the future of work — from Bernard Marr

Excerpt:

Active learning with a growth mindset
Anyone in the future of work needs to actively learn and grow. A person with a growth mindset understands that their abilities and intelligence can be developed and they know their effort to build skills will result in higher achievement. They will, therefore, take on challenges, learn from mistakes and actively seek new knowledge.

Start by adopting a commitment to lifelong learning so you can acquire the skills you will need to succeed in the future workplace.

 

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