analytics

Microsoft President Warns of Orwell’s 1984 ‘Coming to Pass’ in 2024 — from interestingengineering.com by Chris Young
Microsoft’s Brad Smith warned we may be caught up in a losing race with artificial intelligence.

Excerpt (emphasis DSC):

The surveillance-state dystopia portrayed in George Orwell’s 1984 could “come to pass in 2024” if governments don’t do enough to protect the public against artificial intelligence (AI), Microsoft president Brad Smith warned in an interview for the BBC’s investigative documentary series Panorama.

During the interview, Smith warned of China’s increasing AI prowess and the fact that we may be caught up in a losing race with the technology itself.

“If we don’t enact the laws that will protect the public in the future, we are going to find the technology racing ahead, and it’s going to be very difficult to catch up,” Smith stated.

From DSC:
This is a major heads up to all those in the legal/legislative realm — especially the American Bar Association (ABA) and the Bar Associations across the country! The ABA needs to realize they have to up their game and get with the incredibly fast pace of the twenty-first century. If that doesn’t occur, we and future generations will pay the price. Two thoughts come to my mind in regards to the ABA and for the law schools out there:

Step 1: Allow 100% online-based JD programs all the time, from here on out.

Step 2: Encourage massive new program development within all law schools to help future lawyers, judges, legislative reps, & others build up more emerging technology expertise & the ramifications thereof.

Google’s plan to make search more sentient — from vox.com by Rebecca Heilweil
Google announces new search features every year, but this time feels different.

Excerpt:

At the keynote speech of its I/O developer conference on Tuesday, Google revealed a suite of ways the company is moving forward with artificial intelligence. These advancements show Google increasingly trying to build AI-powered tools that seem more sentient and that are better at perceiving how humans actually communicate and think. They seem powerful, too.

Two of the biggest AI announcements from Google involve natural language processing and search.
…
Google also revealed a number of AI-powered improvements to its Maps platform that are designed to yield more helpful results and directions.

Google’s plans to bring AI to education make its dominance in classrooms more alarming — from fastcompany.com by Ben Williamson
The tech giant has expressed an ambition to transform education with artificial intelligence, raising fresh ethical questions.

Struggling to Get a Job? Artificial Intelligence Could Be the Reason Why — from newsweek.com by Lydia Veljanovski; with thanks to Sam DeBrule for the resource

Excerpt:

Except that isn’t always the case. In many instances, instead of your application being tossed aside by a HR professional, it is actually artificial intelligence that is the barrier to entry. While this isn’t a problem in itself—AI can reduce workflow by rapidly filtering applicants—the issue is that within these systems lies the possibility of bias.

It is illegal in the U.S. for employers to discriminate against a job applicant because of their race, color, sex, religion, disability, national origin, age (40 or older) or genetic information. However, these AI hiring tools are often inadvertently doing just that, and there are no federal laws in the U.S. to stop this from happening.

These Indian edtech companies are shaping the future of AI & robotics — from analyticsinsight.net by Apoorva Komarraju May 25, 2021

Excerpt:

As edtech companies have taken a lead by digitizing education for the modern era, they have taken the stance to set up Atal Tinkering Labs in schools along with other services necessary for the budding ‘kidpreneurs’. With the availability of these services, students can experience 21st-century technologies like IoT, 3D printing, AI, and Robotics.

Researchers develop machine-learning model that accurately predicts diabetes, study says — from ctvnews.ca by Christy Somos

Excerpt:

TORONTO — Canadian researchers have developed a machine-learning model that accurately predicts diabetes in a population using routinely collected health data, a new study says.

The study, published in the JAMA Network Open journal, tested new machine-learning technology on routinely collected health data that examined the entire population of Ontario. The study was run by the ICES not-for-profit data research institute.

Using linked administrative health data from Ontario from 2006 to 2016, researchers created a validated algorithm by training the model on information taken from nearly 1.7 million patients.

Project Guideline: Enabling Those with Low Vision to Run Independently — from ai.googleblog.com by Xuan Yang; with thanks to Sam DeBrule for the resource

Excerpt:

For the 285 million people around the world living with blindness or low vision, exercising independently can be challenging. Earlier this year, we announced Project Guideline, an early-stage research project, developed in partnership with Guiding Eyes for the Blind, that uses machine learning to guide runners through a variety of environments that have been marked with a painted line. Using only a phone running Guideline technology and a pair of headphones, Guiding Eyes for the Blind CEO Thomas Panek was able to run independently for the first time in decades and complete an unassisted 5K in New York City’s Central Park.

Deepfake Maps Could Really Mess With Your Sense of the World — from wired.com by Will Knight
Researchers applied AI techniques to make portions of Seattle look more like Beijing. Such imagery could mislead governments or spread misinformation online.

2021 EDUCAUSE Horizon Report® | Teaching and Learning Edition

This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape.

3 Tech Trends Shaping the Future of Post-Pandemic Teaching and Learning [Kelly]

On 04/28/2021, in adjunct faculty, analytics, blended learning, change, colleges, community colleges, credentialing, data related items, education technology, experimentation, future of higher education, higher education, hybrid learning, instructional design, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, online learning, open courseware and systems, pedagogy, professional development, quality, remote teaching and learning, teachers, teaching & learning, trends, United States, universities, videoconferencing, web-based collaboration, by Daniel Christian

3 Tech Trends Shaping the Future of Post-Pandemic Teaching and Learning — from campustechnology.com by Rhea Kelly
The landscape of higher education has been transformed by COVID-19, and that impact is a major factor in the 2021 Educause Horizon Report. Here are three key technology trends to watch as the lasting effects of the pandemic play out.

Excerpt:

What’s in store for higher education’s post-pandemic future? The latest Educause Horizon Report has identified the trends, technologies and practices shaping teaching and learning in the wake of COVID-19. The potential lasting effects of the pandemic “loomed large” in the trend selection this year, the report stated, emphasizing that although it remains to be seen whether the transformations of the past year will persist into the future, “it isn’t hard to imagine that higher education may never be the same in some important ways (good or bad).”

In the realm of technology in particular, it’s clear that the pandemic-induced shift to remote learning has dominated the trend landscape. The top three technological trends identified by the report are…

From 2021 EDUCAUSE Horizon Report® | Teaching and Learning Edition

Also see:

Students Want Online Learning Options Post-Pandemic — from insidehighered.com by Lindsay McKenzie
The experience of learning remotely during the pandemic left students with a positive attitude toward online and hybrid courses, a new survey suggests.

Jessica Rowland Williams, director of Every Learner Everywhere, agreed. “The pandemic has given us the unique opportunity to pause and listen to each other, and we are beginning to discover all the ways our experiences overlap,” she said.

AI in education: Features already adopted by companies, universities, and schools [Baraishuk]

On 04/17/2021, in 21st century, 24x7x365 access, analytics, Artificial Intelligence/Agents/LLMs/and Related, business, corporate / business world, corporate universities / corporate training, data related items, education, education technology, emerging technologies, Europe, experimentation, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, platforms, tools, training / L&D, UK, United States, universities, by Daniel Christian

AI in education: Features already adopted by companies, universities, and schools — from belitsoft.com by Dmitry Baraishuk

Excerpt:

AI use cases in education include such kinds of applications as: Artificial Intelligence in training, learning and development, AI in higher education and Artificial Intelligence in K-12 education. We’ve gathered and outlined real-life examples of AI in education for each of these three application areas. If you’re an L&D or HR pro, you will find insightful the section “AI in talent management and in Learning and development.” College and university leaders will discover helpful tools to significantly improve their educational process in the section “AI in Higher Education.” For school leaders, we’ve prepared the section “Artificial intelligence in K-12 education.”

Addendum on 4/23/21:

AI in Education — from itchronicles.com by William Goddard

Two items re: AI — and one not positive at all

On 03/19/2021, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), computer science, data related items, Facebook / Meta Platforms, political science, programming, the downsides of how people use tech, youth, by Daniel Christian

How Facebook got addicted to spreading misinformation — from technologyreview.com by Karen Hao

Excerpt (emphasis DSC):

By the time thousands of rioters stormed the US Capitol in January, organized in part on Facebook and fueled by the lies about a stolen election that had fanned out across the platform, it was clear from my conversations that the Responsible AI team had failed to make headway against misinformation and hate speech because it had never made those problems its main focus. More important, I realized, if it tried to, it would be set up for failure.

The reason is simple. Everything the company does and chooses not to do flows from a single motivation: Zuckerberg’s relentless desire for growth. Quiñonero’s AI expertise supercharged that growth. His team got pigeonholed into targeting AI bias, as I learned in my reporting, because preventing such bias helps the company avoid proposed regulation that might, if passed, hamper that growth. Facebook leadership has also repeatedly weakened or halted many initiatives meant to clean up misinformation on the platform because doing so would undermine that growth.

In other words, the Responsible AI team’s work—whatever its merits on the specific problem of tackling AI bias—is essentially irrelevant to fixing the bigger problems of misinformation, extremism, and political polarization. And it’s all of us who pay the price.

Artificial Intelligence In 2021: Five Trends You May (or May Not) Expect — from forbes.com by Nisha Talagala

The future of work after COVID-19 [McKinsey & Co.]

On 03/06/2021, in analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, career development, change, changing business models, computer science, data related items, engineering, entrepreneurship, Europe, future, health, India, leadership, lifelong learning, programming, society, strategy, UK, United States, workplace, by Daniel Christian

The future of work after COVID-19 — from mckinsey.com

Excerpts:

This report on the future of work after COVID-19 is the first of three MGI reports that examine aspects of the postpandemic economy. The others look at the pandemic’s long-term influence on consumption and the potential for a broad recovery led by enhanced productivity and innovation. Here, we assess the lasting impact of the pandemic on labor demand, the mix of occupations, and the workforce skills required in eight countries with diverse economic and labor market models: China, France, Germany, India, Japan, Spain, the United Kingdom, and the United States. Together, these eight countries account for almost half the global population and 62 percent of GDP.

LexisNexis Extends Its Context Language Analytics to Cover Attorneys’ Briefs and Motions [Ambrogi]

On 03/01/2021, in analytics, data related items, law schools, Legal operations, legal technologies, legislatures / government / legal, tools, Uncategorized, vendors, by Daniel Christian

LexisNexis Extends Its Context Language Analytics to Cover Attorneys’ Briefs and Motions — from legaltechmonitor.com Bob Ambrogi

Excerpt:

Last year, LexisNexis introduced Context, a refinement of an analytics tool originally developed by Ravel Law that analyzes the language of a judge’s opinions to determine the cases and arguments the judge finds most persuasive in deciding specific types of issues. As I reported then, that original launch also included Context for expert witnesses, and, since then, LexisNexis has expanded Context to also cover courts and companies.

Today, LexisNexis is further expanding Context with the introduction of Attorney Analytics, the fifth module in the platform, for researching opposing attorneys in litigation matters.

Also see:

New API from Wolters Kluwer Enables Embedding of Research on Firm Intranets — from legaltechmonitor.com Bob Ambrogi

[For those involved with learning spaces] Hiperwall Introduces Cost-Effective ‘Essentials’ Video Wall Hardware & Software Packages

On 02/25/2021, in A/V -- audio/visual, analytics, art, attention, biology, business, chemistry, collaboration, colleges, communications, community colleges, computer science, corporate / business world, corporate universities / corporate training, data related items, design, digital learning, digital photography, digital storytelling, digital textbooks, digital video, education technology, engagement / engaging students, engineering, experimentation, graphics, higher education, human-computer interaction (HCI), innovation, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, learning hubs & pods & microschooling, learning spaces, liberal arts, media/film, mirroring and/or multiple devices, multimedia, online media, photography, platforms, presentations, smart classrooms, smart/connected TV, storytelling, teaching & learning, technology (general), telelegal, telemedicine / telehealth / virtual health, television, tools, training / L&D, United States, universities, vendors, vision/possibilities, visualizing information, web-based collaboration, webinars, by Daniel Christian

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.

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

2 items re: AI in 2021

On 12/30/2020, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, corporate / business world, Daniel S. Christian, data related items, emerging technologies, entrepreneurship, MBA, technology (general), the downsides of how people use tech, trends, United States, vision/possibilities, workplace, by Daniel Christian

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 [Overby]

On 12/22/2020, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, career development, cloud-based computing / apps / other cloud-related, IT in HE, strategy, United States, workplace, by Daniel Christian

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:

Artificial Intelligence (AI) specialists
Strategy-minded software developers and managers
Business-focused data scientists
Data engineers
AIOps analysts, engineers, and architects
Cybersecurity architects and engineers
Cloud architects
IT directors who demonstrate soft skills

Report: There’s More to Come for AI in Ed [Schaffhauser]

On 12/12/2020, in analytics, Artificial Intelligence/Agents/LLMs/and Related, education, education technology, emerging technologies, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning ecosystem, Learning from the Living [Class] Room, teachers, teaching & learning, the downsides of how people use tech, trends, United States, by Daniel Christian

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.

An exodus out of Silicon Valley? Hmm…

On 12/12/2020, in analytics, career development, change, cloud-based computing / apps / other cloud-related, computer science, corporate / business world, data related items, United States, workplace, by Daniel Christian

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.

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:

Scale, which helps companies improve their A.I. capabilities, is now worth more than $3.5 billion and breaking even — from cnbc.com by Jordan Novet

The Observatory: An interactive platform that allows you to do a preliminary analysis of 600+ legal technologies [Orrick]

On 11/18/2020, in analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, law schools, Legal operations, legal technologies, legislatures / government / legal, productivity / tips and tricks, research, telelegal, tools, vendors, by Daniel Christian

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.

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