Forbes 2024 AI 50 List: Top Artificial Intelligence Startups  — from forbes.com by Kenrick Cai

The artificial intelligence sector has never been more competitive. Forbes received some 1,900 submissions this year, more than double last year’s count. Applicants do not pay a fee to be considered and are judged for their business promise and technical usage of AI through a quantitative algorithm and qualitative judging panels. Companies are encouraged to share data on diversity, and our list aims to promote a more equitable startup ecosystem. But disparities remain sharp in the industry. Only 12 companies have women cofounders, five of whom serve as CEO, the same count as last year. For more, see our full package of coverage, including a detailed explanation of the list methodology, videos and analyses on trends in AI.


Adobe Previews Breakthrough AI Innovations to Advance Professional Video Workflows Within Adobe Premiere Pro — from news.adobe.com

  • New Generative AI video tools coming to Premiere Pro this year will streamline workflows and unlock new creative possibilities, from extending a shot to adding or removing objects in a scene
  • Adobe is developing a video model for Firefly, which will power video and audio editing workflows in Premiere Pro and enable anyone to create and ideate
    Adobe previews early explorations of bringing third-party generative AI models from OpenAI, Pika Labs and Runway directly into Premiere Pro, making it easy for customers to draw on the strengths of different models within the powerful workflows they use every day
  • AI-powered audio workflows in Premiere Pro are now generally available, making audio editing faster, easier and more intuitive

Also relevant see:




 

Vocational education finally making big strides — from westhawaiitoday.com by the Las Vegas Review-Journal; via GSV

While the nation’s public schools in recent decades have emphasized college preparation, Mike Rowe of “Dirty Jobs” fame has been preaching the gospel of vocational education. His efforts may be paying off.

The Wall Street Journal reported recently that enrollment in vocational training programs has soared recently as many institutions of higher education struggle to attract high school graduates.

The number of students opting to attend “vocational-focused community colleges rose 16 percent last year,” while the number of students entering the construction trades jumped 23 percent.

 

Corporate Learning Is Boring — But It Doesn’t Have to Be — from hbr.org by Duncan Wardle; via GSV

Summary:
Most corporate learnings aren’t cutting it. Almost 60% of employees say they’re interested in upskilling and training, but 57% of workers also say they’re already pursuing training outside of work. The author, the former Head of Innovation and Creativity at Disney, argues that creativity is the missing piece to make upskilling engaging and effective. From his experience, he shares four strategies to unlock creativity in trainings: 1) Encourage “What if?”, 2) respond “How else?” to challenges, 3) give people time to think by encouraging playfulness, and 4) make training a game.

 

[Report] The Top 100 AI for Work – April 2024 — from flexos.work; with thanks to Daan van Rossum for this resource
AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.

Following our AI Top 150, we spent the past few weeks analyzing data on the top AI platforms for work. This report shares key insights, including the AI tools you should consider adopting to work smarter, not harder.

While there is understandable concern about AI in the work context, the platforms in this list paint a different picture. It shows a future of work where people can do what humans are best suited for while offloading repetitive, digital tasks to AI.

This will fuel the notion that it’s not AI that takes your job but a supercharged human with an army of AI tools and agents. This should be a call to action for every working person and business leader reading this.

 

Why Teachers Quit + What You Can Do Instead — from devlinpeck.com by Devlin Peck

Today we’ll dive into the main reasons behind why teachers quit and signs to look for if you’re considering quitting teaching too.

Instructional design
Instructional design is the process of developing learning experiences for higher education, the corporate world, or for organizations such as non-profits. Many teachers transition into the field because of overlapping tasks that allow you to continue teaching, all while learning a new skill set. But instructional design also offers:

  • Higher rates of pay than teaching. Instructional design is a better paid industry than teaching. You can also work when and where you like.
  • Better work-life balance. 94% of instructional designers said they were happy with their work-life balance in our recent survey.
  • Less stress. Instructional design is a less demanding role than teaching as you don’t have the same safety considerations or unreasonable expectations as you have in many teaching jobs.

From DSC:
I hesitate to post this, as I don’t want to discourage teachers already dealing with all kinds of challenges. But I’m posting it for the teachers who are tired of fighting a broken one-size-fits-all system that answers to their state’s legislators (vs. their students/families/communities). For those teachers hanging in there, please fight for change where you think it’s needed.  We trust your judgment, as you are on the front lines. And I always try to support people working on the front lines — whether in business or in schools.

 

Say Goodbye to Antiquated Performance Reviews — from td.org by Magdalena Nowicka Mook

Excerpt (emphasis DSC):

Most leaders understand the value of investing in an onboarding process for orientation, productivity, and retention, but few associate onboarding with strong performance over the employee’s full tenure with the organization. By contrast, everboarding is a newer approach that prioritizes ongoing learning and development rather than only an initial commitment. Insights from Deloitte indicate organizations that establish an ongoing learning culture are 52 percent more productive with engagement and achieve retention rates 30–50 percent higher than those that don’t.

When implemented effectively, everboarding embraces proven elements of a coaching culture that establish an ongoing commitment to skill development, deepens understanding of the organization, and supports real-time feedback to prevent stagnancy in high-potential employees brought in through strong hiring practices.

 

The New Academic Arms Race | Competition over amenities is over. The next battleground is technology. — from chronicle.com by Jeffrey J. Selingo

Now, after the pandemic, with the value of the bachelor’s degree foremost in the minds of students and families, a new academic arms race is emerging. This one is centered around academic innovation. The winners will be those institutions that in the decade ahead better apply technology in teaching and learning and develop different approaches to credentialing.

Sure, technology is often seen as plumbing on campuses — as long as it works, we don’t worry about it. And rarely do prospective students on a tour ever ask about academic innovations like extended reality or microcredentials. Campus tours prefer to show off the bells and whistles of residential life within dorms and dining halls.

That’s too bad.

The problem is not a lack of learners, but rather a lack of alignment in what colleges offer to a generation of learners surrounded by Amazon, Netflix, and Instagram, where they can stream entertainment and music anytime, anywhere.

From DSC:
When I worked for Calvin (then College, now University) from 2007-2017, that’s exactly how technologies and the entire IT Department were viewed — as infrastructure providers. We were not viewed as being able to enhance the core business/offerings of the institution. We weren’t relevant in that area. In fact, the IT Department was shoved down in the basement of the library. Our Teaching & Learning Digital Studio was sidelined in a part of the library where few students went to. The Digitial Studio’s marketing efforts didn’t help much, as faculty members didn’t offer assignments that called for multimedia-based deliverables. It was a very tough and steep hill to climb.

Also the Presidents and Provosts over the last couple of decades (not currently though) didn’t think much of online-based learning, and the top administrators dissed the Internet’s ability to provide 24/7 worldwide conversations and learning. They missed the biggest thing to come along in education in 500 years (since the invention of the printing press). Our Teaching & Learning Group provided leadership by starting a Calvin Online pilot. We had 13-14 courses built and inquiries from Christian-based high schools were coming in for dual enrollment scenarios, but when it came time for the College to make a decision, it never happened. The topic/vote never made it to the floor of the Faculty Senate. The faculty and administration missed an enormous opportunity.

When Calvin College became Calvin University in 2019, they were forced to offer online-based classes. Had they supported our T&L Group’s efforts back in the early to mid-2010’s, they would have dove-tailed very nicely into offering more courses to working adults. They would have built up the internal expertise to offer these courses/programs. But the culture of the college put a stop to online-based learning at that time. They now regret that decision I’m sure (as they’ve had to outsource many things and they now offer numerous online-based courses and even entire programs — at a high cost most likely).

My how times have changed.


For another item re: higher education at the 30,000-foot level, see:


Lifelong Learning Models for a Changing Higher Ed Marketplace — from changinghighered.com by Dr. Drumm McNaughton and Amrit Ahluwalia
Exploring the transformation of higher education into lifelong learning hubs for workforce development, with innovative models and continuing education’s role.

Higher education is undergoing transformational change to redefine its role as a facilitator of lifelong learning and workforce development. In this 200th episode of Changing Higher Ed, host Dr. Drumm McNaughton and guest Amrit Ahluwalia, incoming Executive Director for Continuing Studies at Western University, explore innovative models positioning universities as sustainable hubs for socioeconomic mobility.

The Consumer-Driven Educational Landscape
Over 60% of today’s jobs will be redefined by 2025, driving demand for continuous upskilling and reskilling to meet evolving workforce needs. However, higher education’s traditional model of imparting specific knowledge through multi-year degrees is hugely misaligned with this reality.

Soaring education costs have fueled a consumer mindset shift, with learners demanding a clear return on investment directly aligned with their career goals. The expectation is to see immediate skills application and professional impact from their educational investments, not just long-term outcomes years after completion.


 

The $340 Billion Corporate Learning Industry Is Poised For Disruption — from joshbersin.com by Josh Bersin

What if, for example, the corporate learning system knew who you were and you could simply ask it a question and it would generate an answer, a series of resources, and a dynamic set of learning objects for you to consume? In some cases you’ll take the answer and run. In other cases you’ll pour through the content. And in other cases you’ll browse through the course and take the time to learn what you need.

And suppose all this happened in a totally personalized way. So you didn’t see a “standard course” but a special course based on your level of existing knowledge?

This is what AI is going to bring us. And yes, it’s already happening today.

 

Conditions that trigger behaviour change — from peoplealchemy.com by Paul Matthews; via Learning Now TV

“Knowing is not enough; we must apply. Willing is not enough; we must do.”

Johann Wolfgang von Goethe

Learning Transfer’s ultimate outcome is behaviour change, so we must understand the conditions that trigger a behaviour to start.

According to Fogg, three specific elements must converge at the same moment for a specific behaviour to occur. Given that learning transfer is only successful when the learner starts behaving in the desired new ways, Fogg’s work is critical to understanding how to generate these new behaviours. The Fogg Behavioural Model [*1] states that B=MAP. That is, a specific behaviour will occur if at the same moment there is sufficient motivation, sufficient ability and sufficient prompt. If the behaviour does not occur, at least one of these three elements is missing or below the threshold required.

The prompt is, in effect, a call to action to do a specific behaviour. The prompt must be ‘loud’ enough for the target person to perceive it and be consciously aware of it. Once aware of a prompt, the target immediately, and largely unconsciously, assesses their ability to carry out the requested behaviour: how difficult would this be, how long will it take, who can help me, and so on. They base this on their perception of the difficulty of the requested behaviour, and their ability, as they see it, to achieve that behaviour.

 

LinkedIn Learning: Workplace Learning Report 2024 — learning.linkedin.com

L&D powers the AI future

The AI era is here, and leaders across learning and talent development have a new mandate: help people and organizations rise to opportunity with speed and impact. 

As AI reshapes how people learn, work, and chart their careers, L&D sits at the center of organizational agility, delivering business innovation and critical skills. This report combines survey results, LinkedIn behavioral data, and wisdom from L&D pros around the globe to help you rewrite your playbook for the future of work. 

 

Amid explosive demand, America is running out of power — from washingtonpost.com by Evan Halper
AI and the boom in clean-tech manufacturing are pushing America’s power grid to the brink. Utilities can’t keep up.

Vast swaths of the United States are at risk of running short of power as electricity-hungry data centers and clean-technology factories proliferate around the country, leaving utilities and regulators grasping for credible plans to expand the nation’s creaking power grid.

A major factor behind the skyrocketing demand is the rapid innovation in artificial intelligence, which is driving the construction of large warehouses of computing infrastructure that require exponentially more power than traditional data centers. AI is also part of a huge scale-up of cloud computing. Tech firms like Amazon, Apple, Google, Meta and Microsoft are scouring the nation for sites for new data centers, and many lesser-known firms are also on the hunt.


The Obscene Energy Demands of A.I. — from newyorker.com by Elizabeth Kolbert
How can the world reach net zero if it keeps inventing new ways to consume energy?

“There’s a fundamental mismatch between this technology and environmental sustainability,” de Vries said. Recently, the world’s most prominent A.I. cheerleader, Sam Altman, the C.E.O. of OpenAI, voiced similar concerns, albeit with a different spin. “I think we still don’t appreciate the energy needs of this technology,” Altman said at a public appearance in Davos. He didn’t see how these needs could be met, he went on, “without a breakthrough.” He added, “We need fusion or we need, like, radically cheaper solar plus storage, or something, at massive scale—like, a scale that no one is really planning for.”


A generative AI reset: Rewiring to turn potential into value in 2024 — from mckinsey.com by Eric Lamarre, Alex Singla, Alexander Sukharevsky, and Rodney Zemmel; via Philippa Hardman
The generative AI payoff may only come when companies do deeper organizational surgery on their business.

  • Figure out where gen AI copilots can give you a real competitive advantage
  • Upskill the talent you have but be clear about the gen-AI-specific skills you need
  • Form a centralized team to establish standards that enable responsible scaling
  • Set up the technology architecture to scale
  • Ensure data quality and focus on unstructured data to fuel your models
  • Build trust and reusability to drive adoption and scale

AI Prompt Engineering Is Dead Long live AI prompt engineering — from spectrum.ieee.org

Since ChatGPT dropped in the fall of 2022, everyone and their donkey has tried their hand at prompt engineering—finding a clever way to phrase your query to a large language model (LLM) or AI art or video generator to get the best results or sidestep protections. The Internet is replete with prompt-engineering guides, cheat sheets, and advice threads to help you get the most out of an LLM.

However, new research suggests that prompt engineering is best done by the model itself, and not by a human engineer. This has cast doubt on prompt engineering’s future—and increased suspicions that a fair portion of prompt-engineering jobs may be a passing fad, at least as the field is currently imagined.


What the birth of the spreadsheet teaches us about generative AI — from timharford.com by Tim Harford; via Sam DeBrule

There is one very clear parallel between the digital spreadsheet and generative AI: both are computer apps that collapse time. A task that might have taken hours or days can suddenly be completed in seconds. So accept for a moment the premise that the digital spreadsheet has something to teach us about generative AI. What lessons should we absorb?

It’s that pace of change that gives me pause. Ethan Mollick, author of the forthcoming book Co-Intelligence, tells me “if progress on generative AI stops now, the spreadsheet is not a bad analogy”. We’d get some dramatic shifts in the workplace, a technology that broadly empowers workers and creates good new jobs, and everything would be fine. But is it going to stop any time soon? Mollick doubts that, and so do I.


 

 

Nursing Career Guide for People With Disabilities — from nursingeducation.org by Abby McCoy, RN, BSN; with thanks to Sarah Breckon for this resource

As Sarah mentioned to me, this article includes a comparison of some of the benefits and challenges of a nursing career, tips on choosing an accessible nursing school, and examines different nursing career paths, their demands, and accommodations available. It also includes practical advice on job interviews, disclosing disabilities to employers, and understanding legal protections.

The need for caring and skilled nurses is higher than ever. For people with disabilities, getting into nursing might seem like a tough road with a lot of unknowns. Luckily, it isn’t just doable, people with different abilities can find the career extremely fulfilling. Plenty of opportunities and resources exist for those who want to make a mark in healthcare, no matter the challenges they might face.

 

From DSC:
I have had two instances recently where the phone-based systems (i.e., the Voice Response Units) haven’t worked…at all. They either wouldn’t let me do something as simple as updating my credit card number on file or checking on the status of a prescription. Human beings had to get involved to help me get the issues resolved. (Sounds a bit like the recent issues with the FAFSA forms, as I think about it.)

This is old hat, I know. This is common knowledge. But with AI, I’m increasingly concerned that the temptations are there for the MBAs/executives out there to lay off employees and boost their short-term profits (so that Wall Street will reward them and so that they can get their year-end bonuses).

The reminder/lesson for businesses and organizations of all types (including colleges and universities):

  • Unless you want to piss off and lose your customers, always allow your customers to stop using a VRU and go directly to a person that they can talk to.
  • Then empower those employees on the front lines as much as possible so that they can get the issues resolved for your customers.
  • Don’t think you are putting your MBA to good use by laying off your employees after you implement some new VRU system or AI-backed system. Don’t be too quick to think that you’re going to save all kinds of money by going with AI. This might be the case down the line, but I wouldn’t be too quick to get there yet. And even when you do get there, please allow us to talk to human beings.
 

How to Use AI Effectively Throughout Your Job Search — from higheredjobs.com by Alison Herget

Some recruiters and hiring managers have reported that job seekers’ use of AI has caused floods of applications to come in with formulaic versions of resumes and cover letters all seemingly produced by chatbots, she said.

So, if you’re looking for your next role, here are some tips for engaging in an AI-powered job search that will get you noticed by employers in the right way.

 

Career-Connected Learning: Preparing Students for a Dynamic Future — from gettingsmart.com by Tom Vander Ark and Victoria Andrews

Key Points

  • Connecting young people with career awareness needs to start at an early age to provide them with the necessary landscape view of opportunity and skills.
  • Whether young people engage client-focused opportunities, internships, or endure academically challenging coursework, career-connected learning is an environment to cultivate a sense of self-awareness, determination, and direction, essential for their success in both education and life.

Also from Getting Smart, see:

CHILD: A Microschool Unlocking the Potential for Unique Learners — by Maureen O’Shaughnessy

Key Points

  • The success of adaptive learning is not solely based on the program, but rather on the people behind it.
  • Clarity on “who you serve” is critical to success.
 
© 2024 | Daniel Christian