Megatrends | September 25, 2022 — by Michael Moe, Tim Juang, Owen Ritz, & Kit Royce

“The trend is your friend.” – Martin Zweig

“Follow the trend lines, not the headlines.” – Bill Clinton

“In order to be irreplaceable, one must always be different.” – Coco Chanel

“I don’t set the trends. I just find out what they are and exploit them.” – Dick Clark

Megatrends are powerful technological, economic, and social forces that develop from a groundswell (early adoption), move into the mainstream (mass market), and disrupt the status quo (mature market), driving change, productivity, and ultimately growth opportunities for companies, industries, and entire economies.


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The metaverse is not a vertical trend; it’s a horizontal trend that will impact sectors ranging from healthcare, education, socialization, entertainment, commerce, and more.

 

Keynote Wrap-Up: NVIDIA CEO Unveils Next-Gen RTX GPUs, AI Workflows in the Cloud — from blogs.nvidia.com by Brian Caulfield
Kicking off GTC, Jensen Huang unveils advances in natural language understanding, the metaverse, gaming and AI technologies impacting industries from transportation and healthcare to finance and entertainment.

Excerpt (emphasis DSC):

New cloud services to support AI workflows and the launch of a new generation of GeForce RTX GPUs featured [on 9/20/22] in NVIDIA CEO Jensen Huang’s GTC keynote, which was packed with new systems, silicon, and software.

“Computing is advancing at incredible speeds, the engine propelling this rocket is accelerated computing, and its fuel is AI,” Huang said during a virtual presentation as he kicked off NVIDIA GTC.

Again and again, Huang connected new technologies to new products to new opportunities – from harnessing AI to delight gamers with never-before-seen graphics to building virtual proving grounds where the world’s biggest companies can refine their products.

Driving the deluge of new ideas, new products and new applications: a singular vision of accelerated computing unlocking advances in AI, which, in turn will touch industries around the world.

Also relevant/see:

 

Radar Trends to Watch: September 2022 Developments in AI, Privacy, Biology, and More — from oreilly.com by Mike Loukides

Excerpt:

It’s hardly news to talk about the AI developments of the last month. DALL-E is increasingly popular, and being used in production. Google has built a robot that incorporates a large language model so that it can respond to verbal requests. And we’ve seen a plausible argument that natural language models can be made to reflect human values, without raising the question of consciousness or sentience.

For the first time in a long time we’re talking about the Internet of Things. We’ve got a lot of robots, and Chicago is attempting to make a “smart city” that doesn’t facilitate surveillance. We’re also seeing a lot in biology. Can we make a real neural network from cultured neurons? The big question for biologists is how long it will take for any of their research to make it out of the lab.

 

#ILTACON22 Day One Roundup: News from DISCO, Docket Alarm, LexFusion, Relativity and Reveal — from legaltechmonitor.com by Bob Ambrogi

Excerpt:

[8/22/22] kicks off the first full day of ILTACON22, the annual conference of the International Legal Technology Association. Already, the day has brought a slew of news announcements from legal technology companies.

Here is a roundup of news announced this morning.

 

You just hired a deepfake. Get ready for the rise of imposter employees. — from protocol.com by Mike Elgan
New technology — plus the pandemic remote work trend — is helping fraudsters use someone else’s identity to get a job.

Excerpt:

Companies have been increasingly complaining to the FBI about prospective employees using real-time deepfake video and deepfake audio for remote interviews, along with personally identifiable information (PII), to land jobs at American companies.

One place they’re likely getting the PII is through posting fake job openings, which enables them to harvest job candidate information, resumes and more, according to the FBI.

The main drivers appear to be money, espionage, access to company systems and unearned career advancement.

 


Ways that artificial intelligence is revolutionizing education — from thetechedvocate.org by Matthew Lynch

Excerpt:

I was speaking with an aging schoolteacher who believes that AI is destroying education. They challenged me to come up with 26 ways that artificial intelligence (AI) is improving education, and instead, I came up with. They’re right here.


AI Startup Speeds Healthcare Innovations To Save Lives — from by Geri Stengel

Excerpt:

This project was a light-bulb moment for her. The financial industry had Bloomberg to analyze content and data to help investors uncover opportunities and minimize risk, and pharmaceutical, biotech, and medical device companies needed something similar.



 

Criminal Justice Algorithm Predicts Risk of Biased Sentencing — from courttechbulletin.blogspot.com

Excerpt:

A new algorithm aims to assess the likelihood of defendants being treated unfairly in court.

The tool considers details that ought to be immaterial to the ruling — such as the judge’s and defendant’s gender and race — and then predicts how likely the judge is to award an unusually long sentence. This can suggest when socio-demographic details may be swaying judgments, resulting in especially punitive treatments.

 

After an AI bot wrote a scientific paper on itself, the researcher behind the experiment says she hopes she didn’t open a ‘Pandora’s box’ — from insider.com by Hannah Getahun

Excerpt:

  • An artificial-intelligence algorithm called GPT-3 wrote an academic thesis on itself in two hours.
  • The researcher who directed the AI to write the paper submitted it to a journal with the bot’s consent.
  • “We just hope we didn’t open a Pandora’s box,” the researcher wrote in Scientific American.

AI Empowers Scalable Personalized Learning and Knowledge Sharing — from learningsolutionsmag.com by Markus Bernhardt

Excerpt:

AI aids in providing true personalization
Automation through AI is providing us with the tools necessary to deploy fully personalized digital learning, extremely fast and at scale. With the advent of this technology, we will see a revolution in digital training; in addition, I predict that the impact the digital piece will have on human-led efforts will lead to a further revolution of education, training, workshops, mentoring, and coaching.

How A.I. Could Help You Design Your Perfect Office (or Store) — from inc.com by Ben Sherry
Artificial intelligence may soon help fill the gap between your interior design skills and your imagination.

Excerpt:

Boom Interactive is one of several companies attempting to streamline the interior design process using automation. The Salt Lake City-based startup’s free app, Bubbles, which is scheduled to soft launch in the third quarter of 2022, uses artificial intelligence to read floor plans and create a “digital twin” of your real-life space, according to CEO and founder Timber Barker. Once a “twin” has been created, users have full freedom to customize the space by adding doors, erasing walls, and placing furniture.

The Increasing Role of Artificial Intelligence in Our Lives — from rdene915.com by Rachelle Dene Poth

Excerpt:

All of this recent information has made me even more curious about the role artificial intelligence will play over the next few months as we hopefully get back to more of a normal life experience and can engage in work and learning but also in leisure activities. What can we learn from the recent uptick in AI information and how can it help us in the future?

Optical illusions could help us build the next generation of AI — from digitaltrends.com by Luke Dormehl

 

Inside a radical new project to democratize AI — from technologyreview.com by Melissa Heikkilä
A group of over 1,000 AI researchers has created a multilingual large language model bigger than GPT-3—and they’re giving it out for free.

Excerpt:

PARIS — This is as close as you can get to a rock concert in AI research. Inside the supercomputing center of the French National Center for Scientific Research, on the outskirts of Paris, rows and rows of what look like black fridges hum at a deafening 100 decibels.

They form part of a supercomputer that has spent 117 days gestating a new large language model (LLM) called BLOOM that its creators hope represents a radical departure from the way AI is usually developed.

Unlike other, more famous large language models such as OpenAI’s GPT-3 and Google’s LaMDA, BLOOM (which stands for BigScience Large Open-science Open-access Multilingual Language Model) is designed to be as transparent as possible, with researchers sharing details about the data it was trained on, the challenges in its development, and the way they evaluated its performance. OpenAI and Google have not shared their code or made their models available to the public, and external researchers have very little understanding of how these models are trained.

Another item re: AI:

Not my job: AI researchers building surveillance tech and deepfakes resist ethical concerns — from protocol.com by Kate Kaye
The computer vision research community is behind on AI ethics, but it’s not just a research problem. Practitioners say the ethics disconnect persists as young computer vision scientists make their way into the ranks of corporate AI.

For the first time, the Computer Vision and Pattern Recognition Conference — a global event that attracted companies including Amazon, Google, Microsoft and Tesla to recruit new AI talent this year — “strongly encouraged”researchers whose papers were accepted to the conference to include a discussion about potential negative societal impacts of their research in their submission forms.

 

Radar Trends to Watch: July 2022 — from oreilly.com
Developments in AI, Metaverse, Programming, and More

Excerpt (emphasis DSC):

The most important issue facing technology might now be the protection of privacy. While that’s not a new concern, it’s a concern that most computer users have been willing to ignore, and that most technology companies have been willing to let them ignore. New state laws that criminalize having abortions out of state and the stockpiling of location information by antiabortion groups have made privacy an issue that can’t be ignored.

Also relevant/see:

 

From DSC:
An AI-backed platform will constantly search all job postings and present the most desired skills in the marketplace and then how to get those skills. The providers will be individuals, organizations, training providers, traditional institutions of higher education, vendors and more.

Depending upon what happens with blockchain — and if a much more energy-efficient/environmentally-friendly solution can be implemented — blockchain may be a part of that equation.

 
 

Boost Usability of Libraries & Knowledge Hubs with Automation — from learningsolutionsmag.com by Markus Bernhardt

Excerpts (emphasis DSC):

Our article series looks at the top three areas where we see automation and AI revolutionizing the way in which successful L&D teams work: Asset libraries and knowledge hubs; hyper-personalized, truly adaptive learning; and capability mapping. This article examines the impact of AI and automation on maintaining asset libraries and knowledge hubs.

Thus, the contextualization engine becomes a powerful content management tool. It is also easy to use and requires no particular subject matter knowledge of the user; the librarian who has read everything does that for the user. And this works, of course, with articles, slide decks, audio, video, and even VR/AR content, and basically any file type.

Assets can be mapped to competencies, skills, learning objectives, departments, the requirements of a specific course or workshop, or to the horizontals and verticals of an organization’s internal restructuring model. And this takes place within seconds and minutes, and at scale.

With the ability to map content as well as practice exercises, questions, and assessments automatically into each concept’s complexity tree, it is now possible to use automation and AI to deliver adaptive and truly personalized learning content and learning paths. 
 

Will Learning Move into the Metaverse? — from learningsolutionsmag.com by Pamela Hogle

Excerpt:

In its 2022 Tech Trends report, the Future Today Institute predicts that, “The future of work will become more digitally immersive as companies deploy virtual meeting platforms, digital experiences, and mixed reality worlds.”

Learning leaders are likely to spearhead the integration of their organizations’ workers into a metaverse, whether by providing training in using the tools that make a metaverse possible or through developing training and performance support resources that learners will use in an immersive environment.

Advantages of moving some workplace collaboration and learning into a metaverse include ease of scaling and globalization. The Tech Trends report mentions personalization at scale and easy multilingual translation as advantages of “synthetic media”—algorithmically generated digital content, which could proliferate in metaverses.

Also see:

Future Institute Today -- Tech Trends 2022


Also from learningsolutionsmag.com, see:

Manage Diverse Learning Ecosystems with Federated Governance

Excerpt:

So, over time, the L&D departments eventually go back to calling their own shots.

What does this mean for the learning ecosystem? If each L&D team chooses its own learning platforms, maintenance and support will be a nightmare. Each L&D department may be happy with the autonomy but learners have no patience for navigating multiple LMSs or going to several systems to get their training records.

Creating common infrastructure among dispersed groups
Here you have the problem: How can groups that have no accountability to each other share a common infrastructure?

 

Every month Essentials publish an Industry Trend Report on AI in general and the following related topics:

  • AI Research
  • AI Applied Use Cases
  • AI Ethics
  • AI Robotics
  • AI Marketing
  • AI Cybersecurity
  • AI Healthcare

The Race to Hide Your Voice — from wired.com by Matt Burgess
Voice recognition—and data collection—have boomed in recent years. Researchers are figuring out how to protect your privacy.

AI: Where are we now? — from educause.edu by EDUCAUSE
Is the use of AI in higher education today invisible? dynamic? perilous? Maybe it’s all three.

What is artificial intelligence and how is it used? — from europart.europa.eu; with thanks to Tom Barrett for this resource

 
© 2022 | Daniel Christian