data related items

The consequences of our legal pace in the U.S. seems to already be having seriously negative ramifications [Christian]

On 10/04/2022, in change, Daniel S. Christian, data related items, emerging technologies, Europe, future, innovation, internet, IT in HE, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, policy, political science, United States, by Daniel Christian

Also relevant/see the following post I created roughly a month ago:

In the USA, the perspectives of the ABA re: online-based learning — and their take on the pace of change — are downright worrisome.

In that posting I said:

For an industry in the 21st century whose main accreditation/governance body for law schools still won’t let more online learning occur without waivers…how can our nation expect future lawyers and law firms to be effective in an increasingly tech-enabled world?

The pace of the ABA is like that of a tortoise, while the pace of change is exponential

AI/ML in EdTech: The Miracle, The Grind, and the Wall [Feldstein]

On 10/03/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, computer science, data related items, education technology, emerging technologies, ethics, future of higher education, higher education, morals/values, programming, society, by Daniel Christian

AI/ML in EdTech: The Miracle, The Grind, and the Wall — from eliterate.us by Michael Feldstein

Excerpt:

Essentially, I see three stages in working with artificial intelligence and machine learning (AI/ML). I call them the miracle, the grind, and the wall. These stages can have implications for both how we can get seduced by these technologies and how we can get bitten by them. The ethical implications are important.

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.

.

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.

Five items related to the legal industry

On 08/26/2022, in Access to Justice (A2J), Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, cloud-based computing / apps / other cloud-related, data related items, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, United States, using teams, vendors, by Daniel Christian

The Finalists of the American Legal Technology Awards Are…! — from artificiallawyer.com

Excerpt:

After receiving 225 submissions across eight categories, the American Legal Technology Awards have today announced the lucky finalists. They include a wide range of companies and individuals, ranging from judges, to law firms, to startups and larger legal tech businesses. So, without further ado, here are the finalists in the table below, with three finalists in each category.

Looking For Trouble And Finding It: The ABA Resolution To Condemn Non-Lawyer Ownership — from professionalresponsibility.fkks.com by Ron Minkoff

Excerpt:

At the ABA Annual Meeting last week, the Illinois State Bar Association (“ISBA”), the New York State Bar Association (“NYSBA”), and several ABA entities sponsored Local Resolution 402 (hereafter, the “ISBA Resolution”) in an effort to stop the entire ABA – if not the entire American legal profession – from permitting non-lawyer ownership of law firms, in any form. The ISBA Resolution read as follows:

Teaching (and Pressuring) Law Professors to Teach Technology – Katie Brown (TGIR Ep. 171) — from legaltechmonitor.com by Greg Lambert & Marlene Gebauer

Excerpt (emphasis DSC):

In her view, law professors “are required to educate people so that they can go out into the practice and successfully do that. And so beyond just, rule 1.1 with legal technology and having that competency, for us as law schools, I think we have an ethical obligation to be teaching legal technology.” This approach needs to be embedded into the Law School’s culture, because it costs money, time, and effort to do correctly.

From DSC:
Agree. I completely agree.

Understanding The Justice Gap — from medium.com by Kevin Golembiewski

Excerpt:

The law is a language. Pleading, cause of action, discovery, hearsay, res judicata, statute of limitations, civil procedure. To understand and protect your legal rights, you must learn this language and the complex rules that govern it. Or you must find an interpreter — that is, a lawyer. No different than if you were in a foreign country without an interpreter, if you have a legal problem but no lawyer, you cannot advocate for yourself.

That is the reality for millions of low-income Americans, according to a recent study by the Legal Services Corporation (LSC). About 50 million Americans have household incomes below 125% of the poverty threshold, and 92% of them do not have any, or enough, legal help for their civil legal issues — issues that range from eviction to domestic violence to disability benefits. Those Americans are stranded in the land of the law without an interpreter.

Litera releases The Changing Lawyer Report 2022 at ILTACON — from legalitprofessionals.com

Key takeaways

The five trends to watch, with some representative data points from the report include:

Allied professionals (process managers, technologists, data analysts, etc.) play a more significant role in supporting law firms and lawyers and enhancing legal service delivery. 83% of lawyers believe that allied professionals make their job easier.
Automation is everywhere, as law firms turn to AI and other technologies to enhance the speed and accuracy of legal processes across all practice areas. 91% of lawyers expect AI-based document review to become a standard part of most M&A due diligence processes.
Technology and data improve client service delivery by providing real-time insights about law firm performance, pricing and budgeting, and work allocation. 78% of lawyers agree that technology helps them offer a better client experience.
Cloud-based solutions are taking over, driven partly by the obvious need for remote and blended workplace access to law firm applications that arose during the pandemic. Leading types of cloud applications that have been moved to the cloud include financial and practice management (64% of firms), document management (53%), portals and intranets (35%), and business intelligence platforms (31%).
Changing work expectations are a significant driver of technology adoption when lawyer recruitment and retention are challenges for law firms. A new generation of lawyers sees technology as a path to better work/life balance. 53% of lawyers ‘strongly agree’ or ‘agree’ with the statement technology makes my job more enjoyable.

#ILTACON22 Day One Roundup [Ambrogi]

On 08/23/2022, in analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, data related items, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, tools, by Daniel Christian

#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.

Coding Isn’t a Necessary Leadership Skill — But Digital Literacy Is [Matveeva]

On 07/30/2022, in career development, collaboration, computer science, corporate / business world, corporate universities / corporate training, data related items, leadership, programming, skills, training / L&D, United States, usability, user experience (UX), using teams, vision/possibilities, workplace, by Daniel Christian

Coding Isn’t a Necessary Leadership Skill — But Digital Literacy Is — from hbr.org by Sophia Matveeva

Summary (emphasis DSC):

While most leaders now know that tech is a vital part of business, many are wondering what they really need to know about technology to succeed in the digital age. Coding bootcamps may appeal to some, but for many leaders, learning to code is simply not the best investment. It takes a long time to become a proficient coder, and it still doesn’t give you a holistic overview of how digital technologies get made. The good news is that most leaders don’t need to learn to code. Instead, they need to learn how to work with people who code. This means becoming a digital collaborator and learning how to work with developers, data scientists, user experience designers, and product managers — not completely retraining. The author presents four ways for non-technical leaders to become digital collaborators.

Five #AI-related items

On 07/21/2022, in 21st century, 5G, A/V -- audio/visual, Africa, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Augmented Reality (AR), Australia, Blockchain, bots, business, Canada, career development, computer science, corporate / business world, data related items, education, education technology, emerging technologies, engineering, entrepreneurship, Europe, experimentation, future, global / globalization, health, India, innovation, learning agents, Natural Language Processing (NLP), NVIDIA, platforms, robotics, technology (general), telecommunications, tools, UK, United States, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, workplace, XR - extended reality, by Daniel Christian

The Branches of #ArtificialIntelligence

Info. via @ingliguori shows so many uses of #AI in #business & #technology. #DataScience #BigData #IoT #Python #100DaysofCode #MachineLearning @Strat_AI @EvaSmartAI @EvanKirstel @DeepLearn007 @SwissCognitive @RoblemVR @vue_ai @andy_fitze pic.twitter.com/vqaHrytkoB

— Andrew Neff (@AndrewinContact) December 6, 2021

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.

Artificial Intelligence: Not A Panacea For Supply Chain Issues, But Extremely Helpful https://t.co/wVUnJlA71R pic.twitter.com/M0wfQtyyFo

— Alec Lazarescu (@alec1a) July 20, 2022

#Technology: Emerging Top ?

Info via @Paula_Piccard talks #tech and the #business uses. #IoT #MachineLearning #AI #Python #DataScience #BigData #100DaysOfCode #Blockchain #AR #VR #ArtificialIntelligence #5G @Shi4Tech @BetaMoroney @Hana_ElSayyed @TScotClendaniel @Ym78200 @MiaD pic.twitter.com/Z10dkQzHXI

— Andrew Neff (@AndrewinContact) July 20, 2022

Radar Trends to Watch: July 2022 [O’Reilly]

On 07/09/2022, in 21st century, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), computer science, data related items, emerging technologies, Google, Metaverse, Microsoft, Mixed Reality (MR), programming, society, tools, trends, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

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:

General AI News — from essentials.news

The future of video entertainment: Immersive, gamified, and diverse — from mckinsey.com
“There’ll be a blurring of the lines between things we watch and things we play”

Coursera’s Global Skills Report: A helpful resource for understanding the world’s most in-demand skills

On 06/21/2022, in adult learning, Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, business, career development, cloud-based computing / apps / other cloud-related, communications, computer science, corporate / business world, corporate universities / corporate training, data related items, entrepreneurship, Europe, game-changing environment, higher education, internet, leadership, learning, learning ecosystem, mathematics, MBA, new media literacies, professional development, programming, reinvent, skills, society, staying relevant, strategy, surviving, technology (general), training / L&D, trends, UK, United States, universities, vendors, web design and production, workplace, by Daniel Christian

Coursera’s Global Skills Report

Excerpt from the Executive Summary:

Here are some of our top findings:

Digital skills are the shared language of the modern economy.
Women’s participation continued to rise.
The developing world had the highest rate of learner growth.
Lower levels of internet access mean lower levels of skills proficiency.
Courses in human skills had more learners from developed countries, while those in digital skills had more from developing ones.
The U.S. held steady in its overall skills proficiency ranking—yet it lost meaningful ground in core technology and data science skills.
Europe leads the world in skills proficiency.
Proficiency in technology and data science skills varies widely across the Asia-Pacific region.
Learners used Coursera to understand the pandemic.

The May 2022 Essential AI Report + three other AI-related items

On 06/13/2022, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, data related items, emerging technologies, ethics, Europe, society, United States, voice recognition / voice enabled interfaces, by Daniel Christian

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

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.

Also see:

Also relevant/see:

MLTut.com: A Website that helps learner’s to get everything in one place.

What technology trends will—and should—lead business agendas in 2022? [McKinsey]

On 05/25/2022, in 21st century, 5G, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, cryptocurrencies, data related items, emerging technologies, future, game-changing environment, global / globalization, innovation, internet, Metaverse, NVIDIA, society, technology (general), trends, United States, Web3, by Daniel Christian

What technology trends will—and should—lead business agendas in 2022? — from mckinsey.com

Excerpt:

Metaverse. Web3. Crypto. 5G.

These are just a few of the technologies grabbing headlines at the start of 2022. But what technology trends truly sit atop business agendas this year? Which might be under executives’ radars but should be surfaced? And what should business leaders keep in mind as they consider these trends?

We asked some members of the McKinsey Technology Council, a group of global experts convened to assess, track, and debate real emerging trends in business and technology, for their perspectives on these questions. Specifically, we asked the following:

What technology trend do you predict will headline business agendas for the remainder of 2022 and why?
What technology trend do you think is under businesses’ radars but merits more of executives’ attention?
What’s one piece of advice you would give to business leaders as they consider incorporating new technologies into their business?

Also relevant/see:

The top trends in tech — from mckinsey.com
Which technologies have the most momentum in an accelerating world? We identified the trends that matter most.

Marketing in the metaverse: An opportunity for innovation and experimentation — from mckinsey.com
Although widespread adoption of the metaverse may take some time, leading brands are already rewriting the rules of marketing.

Marketers would be remiss if they didn’t start exploring what the metaverse can offer. Now is the right time to adopt a test-and-learn mindset, to be open to experiments, and to move on quickly from failure and capitalize on success.

From DSC:
And not just marketers. How about teachers, professors, trainers, and instructional designers?

#Metaverse #learningfromthelivingclassroom #learningecosystems #learning #training #education #K12 #highereducation #vocations #careers #corporatetraining #learninganddevelopment

Radar trends to watch: May 2022 — from oreilly.com
Developments in Web3, Security, Biology, and More

Excerpt:

April was the month for large language models. There was one announcement after another; most new models were larger than the previous ones, several claimed to be significantly more energy efficient.

12 examples of artificial intelligence in everyday life — from itproportal.com by Christopher Oldman

Excerpt:

4. Plagiarism
The college students’ (or is it professor’s?) nightmare. Whether you are a content manager or a teacher grading essays, you have the same problem – the internet makes plagiarism easier.

There is a nigh unlimited amount of information and data out there, and less-than-scrupulous students and employees will readily take advantage of that.

Indeed, no human could compare and contrast somebody’s essay with all the data out there. AIs are a whole different beast.

They can sift through an insane amount of information, compare it with the relevant text, and see if there is a match or not.

Furthermore, thanks to advancement and growth in this area, some tools can actually check sources in foreign languages, as well as images and audio.

Intel calls its AI that detects student emotions a teaching tool. Others call it ‘morally reprehensible.’ — from protocol.com by Kate Kaye
Virtual school software startup Classroom Technologies will test the controversial “emotion AI” technology.

Excerpts:

But Intel and Classroom Technologies, which sells virtual school software called Class, think there might be a better way. The companies have partnered to integrate an AI-based technology developed by Intel with Class, which runs on top of Zoom. Intel claims its system can detect whether students are bored, distracted or confused by assessing their facial expressions and how they’re interacting with educational content.
…
But critics argue that it is not possible to accurately determine whether someone is feeling bored, confused, happy or sad based on their facial expressions or other external signals.
…
The classroom is just one arena where controversial “emotion AI” is finding its way into everyday tech products and generating investor interest. It’s also seeping into delivery and passenger vehicles and virtual sales and customer service software.

MIT’s FutureMakers programs help kids get their minds around — and hands on — AI — from news.mit.edu by Kim Patch
The programs are designed to foster an understanding of how artificial intelligence technologies work, including their social implications.

Excerpt:

During one-week, themed FutureMakers Workshops organized around key topics related to AI, students learn how AI technologies work, including social implications, then build something that uses AI.

“AI is shaping our behaviors, it’s shaping the way we think, it’s shaping the way we learn, and a lot of people aren’t even aware of that,” says Breazeal. “People now need to be AI literate given how AI is rapidly changing digital literacy and digital citizenship.”

AI can now kill those annoying cookie pop-ups — from thenextweb.com by Thomas Macaulay
The notifications have been put on notice

Excerpt:

After years of suffering this digital torture, a new AI tool has finally offered hope of an escape.

Named CookieEnforcer, the system was created by researchers from Google and the University of Wisconsin-Madison.

The system was created to stop cookies from manipulating people into making website-friendly choices that put their privacy at risk. Yet it could also end the constant hassle of navigating the notices.

Using machine learning to improve student success in higher education — from mckinsey.com
Deploying machine learning and advanced analytics thoughtfully and to their full potential may support improvements in student access, success, and the overall student experience.

Excerpt:

Yet higher education is still in the early stages of data capability building. With universities facing many challenges (such as financial pressures, the demographic cliff, and an uptick in student mental-health issues) and a variety of opportunities (including reaching adult learners and scaling online learning), expanding use of advanced analytics and machine learning may prove beneficial.

Below, we share some of the most promising use cases for advanced analytics in higher education to show how universities are capitalizing on those opportunities to overcome current challenges, both enabling access for many more students and improving the student experience.

Artificial intelligence (AI): 7 roles to prioritize now — from enterprisersproject.com by Marc Lewis
Which artificial intelligence (AI) jobs are hottest now? Consider these seven AI/ML roles to prioritize in your organization

Excerpt:

Rather than a Great Resignation, this would suggest a Great Reallocation of the workforce. As a global search consultant, we are seeing this precipitous shift in positions, with great demand for skills in artificial intelligence and machine learning (AI/ML).

With that in mind, here are seven artificial intelligence (AI)-related roles to consider prioritizing right now as the workforce reallocates talent to new jobs that drive economic value for leading companies…

4 ways AI will be a great teaching assistant — from thetechedvocate.org by Matthew Lynch

Categories

Tags