Hiperwall Introduces Cost-Effective ‘Essentials’ Video Wall Hardware and Software Packages — from hiperwall.com with thanks to Michael Farino for this resource
Hiperwall Essentials video wall bundles eliminate barriers to entry for organizations wanting enhanced collaboration, clearer communication, and the ability to make informed real-time decisions

Excerpt:

February 24, 2021 – IRVINE, Calif., – Hiperwall Inc., an industry-leader in commercialized, IP-based visualization technology, today introduces ‘Hiperwall Essentials,’ two all-inclusive video wall hardware and software bundles that get users started with a full-featured, control-room grade video wall powered by Hiperwall for just $9,995.

Most major decisions made in the public and private sectors are driven by vast amounts of data. Due to the volume of data sources, data complexity, and different analytics tools, video walls have become the perfect canvas for decision-makers to put all of this data together clearly to arrive at an informed decision faster and more confidently.

At a price point that effectively removes barriers to implementation for small to medium businesses, small government agencies, and local law enforcement, Hiperwall Essentials serves as a great baseline for integrating video wall technology into any organization. As dependence on the video wall grows, Hiperwall’s modular platform makes scaling the video wall footprint and capabilities seamless and cost-effective.


Below are some example settings:

For those interested in video walls, this is worth checking out. These pictures are example settings.

 

For those interested in video walls, this is worth checking out. These pictures are example settings.

 

For those interested in video walls, this is worth checking out. These pictures are example settings.

 

For those interested in video walls, this is worth checking out. These pictures are example settings.

 

For those interested in video walls, this is worth checking out. These pictures are example settings.

 

AI and the Future of Lawyering & Law Firms – Northwestern Law and Technology Initiative — from youtube.com by Northwestern Law & Technology Initiative as moderated by Dan Linna; with thanks to Gabe Teninbaum for this resource.

Artificial Intelligence is transforming the future of work. AI has the potential to automate and augment many tasks. This transformation is leading to the creation of new roles and jobs to be done. How will AI impact the work of lawyers, legal professionals, and law firms? Our panelists will discuss the future of work, the work of lawyers and structure of law firms, and current uses of AI for legal services today.

Speakers:

  • Hyejin Youn, Assistant Professor of Management & Organizations, Kellogg School of Management, Northwestern University
  • Mari Sako, Professor of Management Studies, Saïd Business School, University of Oxford
  • Stephen Poor, Partner and chair emeritus, Seyfarth

Moderator:

  • Daniel W. Linna Jr., Senior Lecturer & Director of Law and Technology Initiatives, Northwestern Pritzker School of Law & McCormick School of Engineering
 

Artificial intelligence will go mainstream in 2021 — from manilatimes.net by Noemi Lardizabal-Dado; with thanks to Matthew Lamons for this resource

Excerpt:

In his December 21 Forbes website article, titled “Why Covid Will Make AI Go Mainstream In 2021,” data scientist Ganes Kesari predicts AI will transform 2021 by accelerating pharmaceutical drug discovery beyond Covid-19. He says the face of telecommuting would change, and that AI would transform edge computing and make devices around us truly intelligent.

Artificial Intelligence in 2021: Endless Opportunities and Growth — from analyticsinsight.net by Priya Dialani; with thanks to Matthew Lamons for this resource

Excerpts:

In 2021, the grittiest of organizations will push AI to new boondocks, for example, holographic meetings for telecommunication  and on-demand, personalised manufacturing. They will gamify vital planning, incorporate simulations in the meeting room and move into intelligent edge experiences.

According to Rohan Amin, the Chief Information Officer at Chase, “In 2021, we will see more refined uses of machine learning and artificial intelligence across industries, including financial services. There will be more noteworthy incorporation of AI/ML models and abilities into numerous business operations and processes to drive improved insights and better serve clients.”

From DSC:
I’m a bit more cautious when facing the growth of AI in our world, in our lives, in our society. I see some very positive applications (such as in healthcare and in education), but I’m also concerned about techs involved with facial recognition and other uses of AI that could easily become much more negative and harmful to us in the future.

 

IT careers: 8 hot jobs in 2021 — from enterprisersproject.com by Stephanie Overby
Both IT job seekers and hiring managers need to understand what’s in high demand. Cloud, security, data, and AI skills star on the list of 2021’s hottest jobs, say IT recruiters and leaders

Excerpts:

  1. Artificial Intelligence (AI) specialists
  2. Strategy-minded software developers and managers
  3. Business-focused data scientists
  4. Data engineers
  5. AIOps analysts, engineers, and architects
  6. Cybersecurity architects and engineers
  7. Cloud architects
  8. IT directors who demonstrate soft skills
 

Report: There’s More to Come for AI in Ed — from thejournal.com by Dian Schaffhauser

Excerpts:

The group came up with dozens of “opportunities” for AI in education, from extending what teachers can do to better understanding human learning:

  • Using virtual instructors to free up “personalization time” for classroom teachers;
  • Offloading the “cognitive load” of teaching;
  • Providing “job aids” for teachers;
  • Identifying the links between courses, credentials, degrees and skills;
  • “Revolutionizing” testing and assessment;
  • Creating new kinds of “systems of support”;
  • Helping with development of “teaching expertise”; and
  • Better understanding human learning through “modeling and building interfaces” in AI.

But contributors also offered just as many barriers to success:

  • Differences in the way teachers teach would require “different job aids”;
  • Teachers would fear losing their jobs;
  • Data privacy concerns;
  • Bias worries;
  • Dealing with unrealistic expectations and fears about AI pushed in “popular culture”;
  • Lack of diversity in gender, ethnicity and culture in AI projects; and
  • Smart use of data would require more teacher training.
 

Oracle joins Silicon Valley exodus — from linkedin.com by Jake Perez

Excerpt:

Oracle is joining the Silicon Valley exodus and moving its headquarters to Austin, Texas. A spokesperson for the tech giant said the move will “best position Oracle for growth and provide our personnel with more flexibility about where and how they work.” As the pandemic has spurred a gradual acceptance of remote work, some major companies are bailing on California’s high taxes and cost of living. Earlier this month, Hewlett Packard Enterprise announced it was moving from San Jose, Calif., to Houston, and Tesla founder Elon Musk announced his move to Texas this week.

 

The State of AI in 2020 -- from McKinsey and Company

Where AI is being used most in 2020

From DSC:
I saw this item out at:

  • AI is delivering a growing share of earnings, says McKinsey — from which-50.com by Andrew Birmingham
    Excerpt:
    Some companies are generating an increasing share of the profits in a way that is directly attributable to AI, and the best performers are likely to increase their investments setting up a world of algorithmic leaders and laggards, according to a new paper from McKinsey & Company. Called The State of AI in 2020, the report notes that we could start to see a widening divide between AI leaders and the majority of companies still struggling to capitalise on the technology.

Also see:

 

The Observatory is an interactive platform that allows you to do a preliminary analysis of 600+ legal technologies in the market today

The Observatory — from orrick.com with thanks to Gabe Teninbaum for mentioning this resource in his Lawtomatic Newsletter (Issue #112, 11/18/20)

The Observatory is an interactive platform that allows you to do a preliminary analysis of 600+ legal technologies in the market today (including some developed by Orrick):

  • Gain insight into features of legal tools
  • View leading categories of legal tech, from artificial intelligence to workflow automation
  • Understand tech use-cases for litigation, transactional and general solutions
  • Identify legal tech companies with diverse leadership

Excerpt from Gabe’s newsletter:

  • The Observatory: the tech-savvy biglaw firm, Orrick, has a new interactive platform offering data on 600+ legal technologies currently on the market.  A user can click on the type of tool they’d like to learn more about (e.g. document automation or contract management), click on various filters, then get a summary of what it does.  It also includes a narrative box for what makes the tool unique.  It’s easy to use, free, and also gives a nice preview for clients on the type of value the firm might offer them beyond run-of-the-mill representation.

Explore The Observatory from Orrick dot com to help you identify potential fits for your legaltech related needs

 

AI Conversations: Enabling Smarter, More Efficient Healthcare — from cio.com

Excerpt:

Healthcare providers face a wide range of critical challenges in delivering quality healthcare while containing rising costs. Many forward-looking providers are using artificial intelligence to streamline workflows, improve diagnostics, personalize medicine and reduce the length of hospital stays.

 

The pandemic pushed universities online. The change was long overdue. — from hbr-org.cdn.ampproject.org by Sean Gallagher and Jason Palmer; with thanks to Mike Mathews for his posting on LinkedIn re: this item

Excerpt:

A number of elite institutions — such as Princeton University, Williams College, Spelman College, and American University — have substantially discounted tuition for their fully online experience in an historically unprecedented fashion, highlighting pricing pressures and opening up Pandora’s box. This comes after a decade of growth in postsecondary alternatives, including “massively open online courses” (MOOCs), industry-driven certification programs, and coding bootcamps.

This moment is likely to be remembered as a critical turning point between the “time before,” when analog on-campus degree-focused learning was the default, to the “time after,” when digital, online, career-focused learning became the fulcrum of competition between institutions.

 

Radar trends to watch: October 2020 — from oreilly.com

Excerpt:

This month, the big surprise is that there’s no significant technology news about COVID. And there is more news than ever about legislation and regulation. I suspect that the legal system will be a big driver for technology over the next year. Another trend that doesn’t quite count as technology news but that definitely bears watching is that college enrollment in the US is down. Grad schools are up, 4 year colleges are down slightly; the big hit is in 2 year colleges. COVID is probably the biggest contributing factor, but regardless of the cause, this is an inauspicious trend.

 

 

From DSC:
Along these lines…

Sometimes, I think we need to be very careful with Artificial Intelligence (#AI) — which elements of it and which applications of it that we use in our society and which we don’t move forward with. But in the case of cloud-based learning profiles (some might say competency profiles), AI makes sense. Algorithms could make sense. Data mining could make sense.

A cloud-based learning profile might not make sense always to us — as it could be very large indeed. But AI-based algorithms could assist with finding appropriate matches between jobs, competencies, passions, skills, and candidates.

Such services will likely be part of a next-gen learning platform.

 

DC: You want to talk about learning ecosystems?!!? Check out the scopes included in this landscape from HolonIQ!

You want to talk about learning ecosystems?!!? Check this landscape out from HolonIQ!

Also see:

Education in 2030 -- a $10T market -- from HolonIQ.com

From DSC:
If this isn’t mind-blowing, I don’t know what is! Some serious morphing lies ahead of us!

 

Artificial Intelligence for Learning: How to use AI to Support Employee Development [Donald Clark]

So what is the book about? — from donaldclarkplanb.blogspot.com by Donald Clark; which discusses his book entitled, Artificial Intelligence for Learning: How to use AI to Support Employee Development

Excerpt:

AI changes everything. It changes how we work, shop, travel, entertain ourselves, socialize, deal with finance and healthcare. When online, AI mediates almost everything – Google, Google Scholar, YouTube, Facebook, Twitter, Instagram, TikTok, Amazon, Netflix. It would be bizarre to imagine that AI will have no role to play in learning – it already has.

Both informally and formally, AI is now embedded in many of the tools real learners use for online learning – we search for knowledge using AI (Google, Google Scholar), we search for practical knowledge using AI (YouTube), Duolingo for languages, and CPD is becoming common on social media, almost all mediated by AI. It is everywhere, just largely invisible. This book is partly about the role of AI in informal learning but it is largely about its existing and potential role in formal learning – in schools, Universities and the workplace. AI changes the world, so it changes why we learn, what we learn and how we learn.

Also see:

  • Abandon lectures: increase attendance, attitudes and attainment — from donaldclarkplanb.blogspot.com by Donald Clark
    Excerpt:
    The groups were taught a module in a physics course, in three one hour sessions in one week. In short; attendance increased, measured attitudes were better (students enjoyed the experience (90%) and thought that the whole course would be better if taught this way (77%)). More importantly students in the experimental group outperformed the control group, doing more than twice as well in assessment than the control group.
 

Artificial Intelligence (AI) for beginners  — from enterprisersproject.com by Stephanie Overby
Artificial intelligence can seem daunting as you start work. Let’s break down how AI works, common types of AI, how it improves big data insights, and strategy essentials.

Excerpt:

“The use of AI and machine learning (ML) is occurring in a wide range of solutions and applications, from ERP and manufacturing software to content management, collaboration, and user productivity. Artificial intelligence and machine learning are top of mind for most organizations today,” David Schubmehl, research director of Cognitive/Artificial Intelligence Systems at IDC said in conjunction with the guide, noting that AI will be the disrupting influence reshaping entire industries over the next decade.

It’s clear that AI will be on everyone’s roadmap soon. As Enterprisers Project noted in our Harvard Business Review Analytic Services report, An Executive’s Guide to Real-World AI, “Hype in tech is nothing new. What’s different this time is the degree to which reasonable and knowledgeable people believe that there is, indeed, a real urgency to get going with AI now.”

Addendum on 8/28/90

 
© 2021 | Daniel Christian