The college campus is the model for return to office — from by Jiani Zeng Honghao Deng
Using tech to map the spaces we need for the future of work

Excerpt:

Yet while the emergence of new variants continues to frustrate efforts to resume in-person work, the Delta variant alone does not explain why major employers continue to struggle to bring workers back in person. It seems that employees have lost faith in past models of working, which naturally prompts an examination of what a future “ebb and flow” will actually look like.

Well, it’s likely we already know what this new office environment will look like: the university campus.

College campuses have spaces that foster collaboration, community and culture — labs, open areas, cafes, not to mention auditoriums and arenas for events, sports and other rituals. But these are opt-in — no one forces you to go to the basketball game. You choose to go. So too companies will want to use their space to foster collaboration and culture for employees to opt into.

 

Why inexperienced workers can’t get entry-level jobs — from bbc.com by Kate Morgan; with thanks to Ryan Craig for this resource

Excerpt:

As anyone who’s graduated from university or applied for their first job in recent years can attest to, something new – and alarming – has happened to entry-level jobs: they’ve disappeared.

A recent analysis of close to 4 million jobs posted on LinkedIn since late 2017 showed that 35% of postings for “entry-level” positions asked for years of prior relevant work experience. That requirement was even more common in certain industries. More than 60% of listings for entry-level software and IT Services jobs, for instance, required three or more years of experience. In short, it seems entry-level jobs aren’t for people just entering the workforce at all.

“Internships are now the entry level,” he says. “Most of the students in college are doing or trying to do internships, and now it’s increasingly common to do more than one.”

From DSC:
I love the idea of internships. (In my days in college, internships were reserved mainly for engineers; few of us had them back then.)

But with an eye on the cost of obtaining a degree, internships should be PAID internships. That is, interns should receive decent/proper compensation. I’m concerned that businesses will take advantage of free labor here (though that’s less likely given the tight labor market I suppose). But businesses have taken advantage of free labor in the past. “It takes a village…”

Also see:

 

Legal Technology: Why the Legal Tech Boom is Just Getting Started — from nasdaq.com by Casey Flaherty and Jae Um of LexFusion; with thanks to Gabe Teninbaum for this resource via his Lawtomatic Newsletter, Issue #136

Excerpt:

In quick succession, legal technology finally saw its first IPOs:

With private money pouring into legal tech startups and based on our own conversations inside the industry, we at LexFusion expect more IPOs on the horizon. Thus, a primer on legal tech as a category to watch. This Part I summarizes the legal market fundamentals driving unprecedented investment in enabling tech—much of which extends beyond the boundaries implied by “legal” as a descriptor.

A pivot point appears to be upon us. Considered unthinkable a decade ago, US states and Canadian provinces—following similar reforms in the UK and Australia that have resulted in the first publicly traded law firms—are rapidly creating regulatory sandboxes to expand current rules limiting (a) who can provide legal services and (b) who can own those businesses.

From DSC:
One can see why #AI will become key. “…the projected CAGR for global data volumes is 26%—to pt where ‘the amount of data created over the next three years will be more than the data created over the past 30 years.’ This data explosion complicates even standard legal matters.”

Gabe also mentioned the following Tweet, which is relevant for this posting:

 

‘A very big deal.’ Nonlawyer licensing plan clears hurdle in California — from reuters.com by Karen Sloan; with thanks to Law 2030’s October 2021 newsletter from the University of Pennsylvania’s Carey Law School

Excerpt:

(Reuters) – California is on track to become the largest state to let specially trained nonlawyers offer legal advice in limited settings, such as employment and consumer debt.

The State Bar of California’s Board of Trustees on Thursday gave its preliminary blessing to a proposed “paraprofessional” program by voting to gather public comment on the plan. The public will have 110 days to weigh in on the proposal, which if adopted has the potential to jumpstart the fledgling movement behind legal paraprofessionals, or limited license legal professionals, as they are sometimes called.

 

The Disruption Of Legal Services Is Here — from forbes.com by John Arsneault

Excerpt:

For the first time in those 12 years, I am now convinced we are on the precipice of the promised disruption in legal. Not because anyone in the law firms are driving toward this — but because venture capital and tech innovators have finally turned their attention to the industry.

Legal services are a much smaller overall market than, say, retail, financial services or biotech. In the world of disruption and the promised gold rush for the companies that do the disrupting, size matters. Legal has just been low on the industry list. Its number is now up.

It’s easy to Monday morning quarterback that industry now. Easy to see how big of a threat Amazon was to those companies. But when you are being rewarded for doing what you have always done and what your predecessors always did, it’s easy to miss what is around the bend. By the time those companies’ executives realized Amazon was a direct competitor with a much better fulfillment model, it was too late.

 

Why everybody’s hiring but nobody’s getting hired — from vox.com by Rani Molla and Emily Stewart; with thanks to Ryan Craig for this resource
America’s broken hiring system, explained.

Tim Brackney, president and COO of management consulting firm RGP, refers to the current situation as the “great mismatch.” That mismatch refers to a number of things, including desires, experience, and skills. And part of the reason is that the skills necessary for a given job are changing faster than ever, as companies more frequently adopt new software.

“Twenty years ago, if I had 10 years experience as a warehouse manager, the likelihood that my skills would be pretty relevant and it wouldn’t take me that long to get up to speed was pretty good,” Joseph Fuller, a management professor at Harvard Business School and co-author of a recent paper on the disconnect between employers and employees, said. “The shelf life of people’s skills for a lot of decent-paying jobs has been shortening.”

From DSC:
I also think those hiring don’t think people can reinvent themselves. Folks who hire someone (and/or the applicant tracking systems as play) always seem to look for an exact match. There is little vision and/or belief that someone can grow into a position, or to lead differently, or to go in a different but better direction. They reach for their cookie cutters and shove their imaginations and ability to think bigger aside.

Employers could help people by investing in their employees’ growth and development — even if it means they actively help an employee take a right turn. Such an employee could hopefully find a new fit within that organization — if they do, they would likely turn out to be fiercely loyal.

Even if it means offering an employee 1-2 courses a year that they want to learn about — NO STRINGS ATTACHED — the learning culture would get a huge boost!!! Peoples’ love/enjoyment of learning would grow. Morale would improve. People would feel valued.

Let me offer a personal example:

  • My old boss, Mr. Irving Charles Coleman Jr, let me take a Photoshop class while I was working in the IT Department at Kraft Foods’ headquarters. Kraft paid for it, even though it wasn’t directly related to my position at the time. That course ended up changing my life and my future direction. No kidding. Thank you Irv! You’re the best!
 

BlueJeans Video Conferencing Giant to Launch Native Google Glass App for Remote Assistance — from next.reality.news by Adario Strange

Excerpt:

Starting in 2022, Glass Enterprise Edition 2 users will have the option of using a native version of the BlueJeans meeting software.

Like other enterprise AR wearables on the market, the primary use case for the dynamic will be in the realm of remote assistance, in which an expert in a faraway location can see what a Google Glass wearer sees and advise that team member accordingly.

From DSC:
Remote support is also occurring in healthcare. What might “telehealth” morph into?

Remote support is also occurring in healthcare. What might telehealth morph into?

 

National Disability Employment Awareness Month 2021 — from dol.gov

Excerpt:

The theme for NDEAM 2021, “America’s Recovery: Powered by Inclusion,” reflects the importance of ensuring that people with disabilities have full access to employment and community involvement during the national recovery from the COVID-19 pandemic.

NDEAM is held each October to commemorate the many and varied contributions of people with disabilities to America’s workplaces and economy. Browse our website for ideas and resources for employers, community organizations, state and local governments, advocacy groups and schools to participate in celebrating NDEAM through events and activities centered around the theme of “America’s Recovery: Powered by Inclusion.”

The 2021 NDEAM poster is available now!

 

ANALYSIS: Break Down Barriers to Legal Tech Usage With Training — from news.blooberlaw.com by Francis Boustany

Excerpt:

Many law firms and legal departments report barriers to using legal technology, and insufficient training may be a root cause. To help break down these barriers, organizations should consider creating more opportunities for their lawyers and staff to train on legal technology.

When asked to select what barriers to using legal technologies exist at their organizations, respondents to Bloomberg Law’s 2021 Legal Technology Survey indicated that the top obstacles are a lack of tech savvy, a lack of familiarity with available technology, and not enough time to learn the technology.


From DSC:
If it’s not already in place, all law schools should be offering curricula in this area from here on out.

 
 

Artificial Intelligence: Should You Teach It To Your Employees?— from forbes.com by Tom Taulli

Excerpt:

“If more people are AI literate and can start to participate and contribute to the process, more problems–both big and small–across the organization can be tackled,” said David Sweenor, who is the Senior Director of Product Marketing at Alteryx. “We call this the ‘Democratization of AI and Analytics.’ A team of 100, 1,000, or 5,000 working on different problems in their areas of expertise certainly will have a bigger impact than if left in the hands of a few.”

New Artificial Intelligence Tool Accelerates Discovery of Truly New Materials — from scitechdaily.com
The new artificial intelligence tool has already led to the discovery of four new materials.

Excerpt:

Researchers at the University of Liverpool have created a collaborative artificial intelligence tool that reduces the time and effort required to discover truly new materials.

AI development must be guided by ethics, human wellbeing and responsible innovation — from healthcareitnews.com by Bill Siwicki
An expert in emerging technology from the IEEE Standards Association describes the elements that must be considered as artificial intelligence proliferates across healthcare.

 

How tech will change the way we work by 2030 — from techradar.com by Rob Lamb
Everyday jobs will be augmented by technology

Technologies like Artificial Intelligence (AI), Machine Learning (ML) and Blockchain will have a significant impact on work in the next decade and beyond. But if you believe the sci-fi hype or get bogged down in the technology, it can be difficult to relate them to today’s workplaces and jobs.

Excerpt:

Here are three everyday examples of their potential, expressed in terms of the business challenge they are addressing or how consumers will experience them. I don’t mean to over simplify – these are powerful tools – but I think their potential shines through best when they’re expressed in their simplest terms.

From DSC:
I have an issue with one of their examples that involves positioning AI as the savior of the hiring process:

The problem with this process isn’t just that it’s hugely time-consuming, it’s that all kinds of unconscious biases can creep in, potentially even into the job advert. These issues can be eradicated with the use of AI, which can vet ads for gendered language, sort through applicants and pick out the most suitable ones in a fraction of the time it would take an HR professional or any other human being.

AI can be biased as well — just like humans. Lamb recognizes this as well when he states that “Provided the algorithms are written correctly, AI will be key to organisations addressing issues around diversity and inclusion in the workplace.” But that’s a big IF in my mind. So far, it appears that the track record isn’t great in this area. Also, as Cathy O’Neil asserts: “Algorithms are opinions embedded in code.”

AI may not be as adept as a skilled HR professional in seeing the possibilities for someone. Can person A’s existing skillsets be leveraged in this new/other position?

 

Report: Community Colleges Drive Workforce Education, Training — from insidehighered.com by Sara Weissman

Excerpt:

new survey found that community colleges, and especially their noncredit programs, play an outsize role in providing job-focused education.

Opportunity America, a Washington, D.C., think tank focused on economic mobility, explained the survey findings in an accompanying policy report released Tuesday.

The report says community colleges are “poised to come into their own as the nation’s premier provider of job-focused education and training.”

 

Personalized Learning Using AI — from datafloq.com by Dmitry Baraishuk

Excerpt:

Process of Implementing Personalized Learning Using AI

  • The system tested every learner using short quizzes and games. Then AI adapted the learning path to each learner’s knowledge of a topic based on the test results.
  • If a pilot struggled with a certain topic, the AI LMS repeated it by presenting the information in a new way.
  • After completing a section, every pilot was retested and progressed to the next module.

Personalized learning with AI encompasses all the core aspects of online training:

  • personalized learning path;
  • relevant content based on knowledge level, skills, interests, and goals;
  • automated knowledge checks;
  • prediction of knowledge gaps;
  • proactive learners’ support;
  • tutoring, etc.
 

Companies Need More Workers. Why Do They Reject Millions of Résumés? — from wsj.com by Kathryn Dill
Automated-hiring systems are excluding many people from job discussions at a time when additional employees are desperately needed

Excerpt:

Companies are desperate to hire, and yet some workers still can’t seem to find jobs. Here may be one reason why: The software that sorts through applicants deletes millions of people from consideration.

Employers today rely on increasing levels of automation to fill vacancies efficiently, deploying software to do everything from sourcing candidates and managing the application process to scheduling interviews and performing background checks. These systems do the job they are supposed to do. They also exclude more than 10…

 

 
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