data related items

11 Emerging Business Opportunities In The Internet Of Things Sector

On 07/30/2021, in analytics, data related items, emerging technologies, health, machine-to-machine communications, telecommunications, voice recognition / voice enabled interfaces, by Daniel Christian

11 Emerging Business Opportunities In The Internet Of Things Sector — from forbes.com by a panel of Young Entrepreneur Council members

Excerpt (emphasis DSC):

With this increased revenue comes a number of new ways for businesses to leverage IoT technology. Below, a panel of Young Entrepreneur Council members shared some business opportunities they see emerging in the IoT sector. Keep an eye out for these 11 growing trends in the B2B IoT space.

1. Voice-Powered Technologies
With the growing popularity of IoT devices, the interaction of business with customers is also changing. Take for instance Siri, Alexa and Cortana — who are advanced voice technologies — to perform countless searches as the customer orders. This one area of IoT is going to expand gigantically in the future.

Global EdTech Funding 2021 – Half Year Update — from holoniq.com
A record half year in EdTech funding with 568 rounds raising $10B of investment as, ready or not, the world turns to technology to support learning and education delivery.

Reflections on “The Future of Social Media: Re-Humanisation and Regulation” [Leonhard]

On 06/16/2021, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Daniel S. Christian, data related items, digital learning, emerging technologies, engagement / engaging students, ethics, Europe, faculty, future, game-changing environment, global / globalization, instructional design, K-12 related, law schools, Learning Experience Design, Learning from the Living [Class] Room, legislatures / government / legal, morals/values, online media, pace of change, platforms, policy, presentations, social learning / networks, social media, society, teachers, the downsides of how people use tech, training / L&D, trends, United States, vendors, vision/possibilities, by Daniel Christian

The Future of Social Media: Re-Humanisation and Regulation — by Gerd Leonhard

How could social media become ‘human’ again? How can we stop the disinformation, dehumanisation and dataism that has resulted from social media’s algorithmic obsessions? I foresee that the EXTERNALTIES i.e. the consequences of unmitigated growth of exponential digital technologies will become just as big as the consequences of climate change. In fact, today, the social media industry already has quite a few parallels to the oil, gas and coal business: while private make huge profits from extracting the ‘oil’ (i.e. user data), the external damage is left to society and governments to fix. This needs to change! In this keynote I make some precise suggestions as to how that could happen.

Some snapshots/excerpts:

From DSC:
Gerd brings up some solid points here. His presentation and perspectives are not only worth checking out, but they’re worth some time for us to seriously reflect on what he’s saying.

What kind of future do we want?

And for you professors, teachers, instructional designers, trainers, and presenters out there, check out *how* he delivers the content. It’s well done and very engaging.

10 AI tech trends data scientists should know [Morgan]

On 06/16/2021, in 21st century, 24x7x365 access, analytics, Artificial Intelligence/Agents/LLMs/and Related, business, change, corporate / business world, data related items, emerging technologies, pace of change, trends, by Daniel Christian

10 AI tech trends data scientists should know — from by Lisa Morgan
The rising environmental and monetary costs of deep learning are catching enterprises’ attention, as are new AI techniques like graph neural networks and contrastive learning.

Excerpt:

AI adoption is accelerating across industries, driven by a combination of concrete results, high expectations and a lot of money. Among the many new AI concepts and techniques launching almost daily, 10 AI tech trends in particular grab data scientists’ attention.

6 Emerging Technology Trends in Higher Education [Pang]

On 06/07/2021, in analytics, Artificial Intelligence/Agents/LLMs/and Related, blended learning, business side of he, colleges, community colleges, credentialing, data related items, higher education, hybrid learning, online learning, open courseware and systems, quality, trends, United States, universities, by Daniel Christian

6 Emerging Technology Trends in Higher Education — from edtechmagazine.com by Amelia Pang
From artificial intelligence to microcredentials, here’s a look at the future.

Excerpts:

1. The Growth of Artificial Intelligence in Higher Ed
2. Actualizing the Potential of Data Analytics to Improve Education
3. A Permanent Place for Blended and Hybrid Course Models
4. The Expansion of Open Educational Resources
5. Microcredentials Provide Business Opportunities for Higher Ed
6. More Investments in Quality Online Learning

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.

21 jobs of the future: A guide to getting — and staying — employed over the next 10 years — from cognizant.com and the Center for The Future of Work

Excerpt:

WHAT THE NEXT 10 YEARS WILL BRING: NEW JOBS
In this report, we propose 21 new jobs that will emerge over the next 10 years and will become cornerstones of the future of work. In producing this report, we imagined hundreds of jobs that could emerge within the major macroeconomic, political, demographic, societal, cultural, business and technology trends observable today, e.g., growing populations, aging populations, populism, environmentalism, migration, automation, arbitrage, quantum physics, AI, biotechnology, space exploration, cybersecurity, virtual reality.

Among the jobs we considered, some seemed further out on the horizon and are not covered here: carbon farmers, 3-D printing engineers, avatar designers, cryptocurrency arbitrageurs, drone jockeys, human organ developers, teachers of English as a foreign language for robots, robot spa owners, algae farmers, autonomous fleet valets, Snapchat addiction therapists, urban vertical farmers and Hyperloop construction managers. These are jobs that younger generations may do in the further off future.

Also see:

Here are the top 10 jobs of the future — from bigthink.com by Robert Brown
Say hello to your new colleague, the Workplace Environment Architect.

Excerpt:

6. Algorithm Bias Auditor – “All online, all the time” lifestyles for work and leisure accelerated the competitive advantage derived from algorithms by digital firms everywhere. But from Brussels to Washington, given the increasing statutory scrutiny on data, it’s a near certainty that when it comes to how they’re built, verification through audits will help ensure the future workforce is also the fair workforce.

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

Nvidia CEO Jensen Huang and the future of…everything [Hamblen]

On 04/14/2021, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, Asia, corporate / business world, data related items, emerging technologies, future, game-changing environment, global / globalization, innovation, internet, IT in HE, technology (general), telecommunications, by Daniel Christian

Nvidia CEO Jensen Huang and the future of…everything — from fierceelectronics.com by Matt Hamblen

Excerpt:

Nvidia CEO Jensen Huang confirmed his reputation as a futurist, predicting every single car, truck, cell tower—indeed every single edge device—will in effect be a data center in a decade.

He also said in a call with reporters on Tuesday that the chip shortage hurting automakers will sort itself out in a couple of years.

The concept of edge devices acting with the capabilities of a data center might not be completely new, but Huang cemented it.

“Every single data center will have its infrastructure computing platform isolated from the application platform in five or 10 years,” he told reporters as part of the company’s GTC21 event. “It’s going to be complete. Every single edge device will be a data center…Every single cell tower will be a data center, every base station…Every single car… truck, shuttle will be a data center.”

Pro:

AI-powered chatbots automate IT help at Dartmouth — from edscoop.com by Ryan Johnston

Excerpt:

To prevent a backlog of IT requests and consultations during the coronavirus pandemic, Dartmouth College has started relying on AI-powered chatbots to act as an online service desk for students and faculty alike, the school said Wednesday.

Since last fall, the Hanover, New Hampshire, university’s roughly 6,600 students and 900 faculty have been able to consult with “Dart” — the virtual assistant’s name — to ask IT or service-related questions related to the school’s technology. More than 70% of the time, their question is resolved by the chatbot, said Muddu Sudhakar, the co-founder and CEO of Aisera, the company behind the software.

Con:

The Foundations of AI Are Riddled With Errors — from wired.com by Will Knight
The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms.

Excerpt:

“What this work is telling the world is that you need to clean the errors out,”says Curtis Northcutt, a PhD student at MIT who led the new work.“Otherwise the models that you think are the best for your real-world business problem could actually be wrong.”

14th Annual Edition | 2021 Tech Trends Report — from the Future Today Institute

Our 2021 Tech Trends Report is designed to help you confront deep uncertainty, adapt and thrive. For this year’s edition, the magnitude of new signals required us to create 12 separate volumes, and each report focuses on a cluster of related trends. In total, we’ve analyzed nearly 500 technology and science trends across multiple industry sectors. In each volume, we discuss the disruptive forces, opportunities and strategies that will drive your organization in the near future.

Now, more than ever, your organization should examine the potential near and long-term impact of tech trends. You must factor the trends in this report into your strategic thinking for the coming year, and adjust your planning, operations and business models accordingly. But we hope you will make time for creative exploration. From chaos, a new world will come.

Some example items noted in this report:

Natural language processing is an area experiencing high interest, investment, and growth.
+ No-code or low-code systems are unlocking new use cases for businesses.
Amazon Web Services, Azure, and Google Cloud’s low-code and no-code offerings will trickle down to everyday people, allowing them to create their own artificial intelligence applications and deploy them as easily as they could a website.
The race is on to capture AI cloudshare—and to become the most trusted provider of AI on remote servers.
COVID-19 accelerated the use of AI in drug discovery last year. The first trial of an AI-discovered drug is underway in Japan.

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

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