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Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech

On 01/02/2018, in 21st century, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, career development, cloud-based computing / apps / other cloud-related, computer science, data related items, ethics, legislatures / government / legal, morals/values, robotics, technology (general), Virtual Reality (VR) / worlds / learning, by Daniel Christian

Top 10 Technology Trends for 2018: IEEE Computer Society Predicts the Future of Tech — from computer.org

Excerpts:

The top 10 technology trends predicted to reach adoption in 2018 are:

Deep learning (DL)
Digital currencies.
Blockchain.
Industrial IoT.
Robotics.
Assisted transportation.
Assisted reality and virtual reality (AR/VR).
Ethics, laws, and policies for privacy, security, and liability.
Accelerators and 3D.
Cybersecurity and AI.

Existing Technologies: We did not include the following technologies in our top 10 list as we assume that they have already experienced broad adoption:

A. Data science
B. “Cloudification”
C. Smart cities
D. Sustainability
E. IoT/edge computing

Also relevant/see:

Five Trends for Voice Assistants in 2018 — from chatbotsmagazine.com by Gillian Armstrong
It’s going to be an interesting year…

18 striking AI Trends to watch in 2018 – Part 1 as well as 18 striking AI Trends to watch in 2018 – Part 2 — from datahub.packtpub.com by Sugandha Lahoti

Excerpt:

Artificial Intelligence is the talk of the town. It has evolved past merely being a buzzword in 2016, to be used in a more practical manner in 2017. As 2018 rolls out, we will gradually notice AI transitioning into a necessity. We have prepared a detailed report, on what we can expect from AI in the upcoming year. So sit back, relax, and enjoy the ride through the future. (Don’t forget to wear your VR headgear! )

Here are 18 things that will happen in 2018 that are either AI driven or driving AI:

Artificial General Intelligence may gain major traction in research.
We will turn to AI enabled solution to solve mission-critical problems.
Machine Learning adoption in business will see rapid growth.
Safety, ethics, and transparency will become an integral part of AI application design conversations.
Mainstream adoption of AI on mobile devices
Major research on data efficient learning methods
AI personal assistants will continue to get smarter
Race to conquer the AI optimized hardware market will heat up further
We will see closer AI integration into our everyday lives.
The cryptocurrency hype will normalize and pave way for AI-powered Blockchain applications.
Advancements in AI and Quantum Computing will share a symbiotic relationship18 striking AI Trends to watch in 2018 – Part 1
Deep learning will continue to play a significant role in AI development progress.
AI will be on both sides of the cybersecurity challenge.
Augmented reality content will be brought to smartphones.
Reinforcement learning will be applied to a large number of real-world situations.
Robotics development will be powered by Deep Reinforcement learning and Meta-learning
Rise in immersive media experiences enabled by AI.
A large number of organizations will use Digital Twin.

Inside AI — from inside.com
The year 2017 has been full of interesting news about Artificial Intelligence, so to close out the year, we’re doing two special retrospective issues covering the highlights.

Excerpt:

A Reality Check For IBM’s A.I. Ambitions. MIT Tech Review.
This is a must read piece about the failures, and continued promise, of Watson. Some of the press about Watson has made IBM appear behind some of the main tech leaders, but, keep in mind that Google, Amazon, Facebook, and others don’t do the kinds of customer facing projects IBM is doing with Watson. When you look at how the tech giants are positioned, I think IBM has been vastly underestimated, given that they have the one thing few others do – large scale enterprise A.I. projects. Whether it all works today, or not, doesn’t matter. The experience and expertise they are building is a competitive advantage in a market that is very young where no other companies are doing these types of projects that will soon enough be mainstream.

The Business of Artificial Intelligence. Harvard Business Review.
This cover story for the latest edition of HBR explains why artificial intelligence is the most powerful general purpose technology to come around in a long time. It also looks into some of the key ways to think about applying A.I. at work, and how to expect the next phase of this technology to play out.

The Robot Revolution Is Coming. Just Be Patient. Bloomberg.
We keep hearing that robots and A.I. are about to make us super productive. But when? Sooner than we think, according to this.

An excerpt from A2Apple.com:

Alexa Wants You to Talk to Your Ads — from wired.com by Ricki Harris

Excerpt:

There are few electronic devices with which you cannot order a Domino’s pizza. When the craving hits, you can place an order via Twitter, Slack, Facebook Messenger, SMS, your tablet, your smartwatch, your smart TV, and even your app-enabled Ford. This year, the pizza monger added another ordering tool: If your home is one of the 20 million with a voice assistant, you can place a regular order through Alexa or Google Home. Just ask for a large extra-cheese within earshot, and voila—your pizza is in the works.

Amazon’s Alexa offers more than 25,000 skills—the set of actions that serve as applications for voice technology. Yet Domino’s is one of a relatively small number of brands that has seized the opportunity to enter your home by creating a skill of its own. Now that Amazon Echoes and Google Homes are in kitchens and living rooms across the country, they open a window into user behavior that marketers previously only dreamt of. But brands’ efforts to engage consumers directly via voice have been scattershot. The list of those that have tried is sparse: some banks; a couple of fast food chains; a few beauty companies; retailers here and there. Building a marketing plan for Alexa has been a risky venture. That’s because, when it comes to our virtual assistants, no one knows what the *&^& is going on.

But if 2017 was the year that Alexa hit the mainstream, 2018 will be the year that advertisers begin to take her seriously by investing time and money in figuring out how to make use of her.

8 emerging AI jobs for IT pros — from enterprisersproject.com by Kevin Casey
What IT jobs will be hot in the age of AI? Take a sneak peek at roles likely to be in demand

Excerpt:

If you’re watching the impact of artificial intelligence on the IT organization, your interest probably starts with your own job. Can robots do what you do? But more importantly, you want to skate where the puck is headed. What emerging IT roles will AI create? We talked to AI and IT career experts to get a look at some emerging roles that will be valuable in the age of AI.

Getting Intelligent About Artificial Intelligence: 6 Ways Executives Can Start — from forbes.comby Davia Temin

Excerpt:

This past June, Fortune Magazine asked all the CEOs of the Fortune 500 what they believed the biggest challenge facing their companies was. Their biggest concern for 2017: “The rapid pace of technological change” said 73% of those polled, up from 64% in 2016. Cyber security came in only a far second, at 61%, even after all the mega hacks of the past year.

So, what does “technological change” entail? For almost all Fortune 500 CEOs, it means, in part, artificial intelligence. And, as we wrote in our piece yesterday on Forbes.com, “Forget The Hype: What Every Business Leader Needs To Know About Artificial Intelligence Now,” AI is on the lips of almost every global CEO and Board of Directors.

But apart from the Big 8 technology companies – Google, Facebook, Microsoft, Amazon, IBM, Baidu, Tencent, and Alibaba – business leaders, especially of earlier generations, may feel they don’t know enough about AI to make informed decisions.

Artificial intelligence is helping astronomers discover new planets — from wired.co.uk
AI could help us discover planet nine, dark matter and more gravitational waves

Excerpt:

For the first time, artificial intelligence has been used to discover two new exoplanets. One of the discoveries, made by Nasa’s Kepler mission, brings the Kepler-90 solar system to a total of 8 planets – the first solar system found with the same number as our own.

DC: The next generation learning platform will likely offer us such virtual reality-enabled learning experiences such as this “flight simulator for teachers.”

On 12/22/2017, in 21st century, 24x7x365 access, active learning, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, business, business side of he, career development, collaboration, colleges, community colleges, convergence, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, digital learning, disruption, education technology, emerging technologies, engagement / engaging students, future of higher education, game-changing environment, global / globalization, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, immersion, informal learning, innovation, intelligent systems, intelligent tutoring, internet, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, multimedia, Natural Language Processing (NLP), New "Amazon.com" of Higher Education, online learning, participation, pedagogy, personalized/customized learning, platforms, second screen apps, simulations, smart/connected TV, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, technologies for your home, technology (general), television, tools, training / L&D, transmedia, ubiquitous learning, universities, user experience (UX), virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, by Daniel Christian

Virtual reality simulates classroom environment for aspiring teachers — from phys.org by Charles Anzalone, University at Buffalo

Excerpt (emphasis DSC):

Two University at Buffalo education researchers have teamed up to create an interactive classroom environment in which state-of-the-art virtual reality simulates difficult student behavior, a training method its designers compare to a “flight simulator for teachers.”

The new program, already earning endorsements from teachers and administrators in an inner-city Buffalo school, ties into State University of New York Chancellor Nancy L. Zimpher’s call for innovative teaching experiences and “immersive” clinical experiences and teacher preparation.
…
The training simulator Lamb compared to a teacher flight simulator uses an emerging computer technology known as virtual reality. Becoming more popular and accessible commercially, virtual reality immerses the subject in what Lamb calls “three-dimensional environments in such a way where that environment is continuous around them.” An important characteristic of the best virtual reality environments is a convincing and powerful representation of the imaginary setting.

Also related/see:

How Virtual Reality Is Helping Train New Teachers — from edweek.org by Liana Loewus

TeachLive.org
TLE TeachLivE™ is a mixed-reality classroom with simulated students that provides teachers the opportunity to develop their pedagogical practice in a safe environment that doesn’t place real students at risk. This lab is currently the only one in the country using a mixed reality environment to prepare or retrain pre-service and in-service teachers. The use of TLE TeachLivE™ Lab has also been instrumental in developing transition skills for students with significant disabilities, providing immediate feedback through bug-in-ear technology to pre-service teachers, developing discrete trial skills in pre-service and in-service teachers, and preparing teachers in the use of STEM-related instructional strategies.

Virtual reality lessons can help students become better real-life teachers — from news.psu.edu by Jim Carlson

10 amazing virtual museum tours — from virtualiteach.com

Classroom Simulator at University of Virginia’s Curry School of Education

This start-up uses virtual reality to get your kids excited about learning chemistry — from Lora Kolodny and Erin Black

MEL Science raised $2.2 million in venture funding to bring virtual reality chemistry lessons to schools in the U.S.
Eighty-two percent of science teachers surveyed in the U.S. believe virtual reality content can help their students master their subjects.

This start-up uses virtual reality to get your kids excited about learning chemistry from CNBC.

From DSC:
It will be interesting to see all the “places” we will be able to go and interact within — all from the comfort of our living rooms! Next generation simulators should be something else for teaching/learning & training-related purposes!!!

The next gen learning platform will likely offer such virtual reality-enabled learning experiences, along with voice recognition/translation services and a slew of other technologies — such as AI, blockchain*, chatbots, data mining/analytics, web-based learner profiles, an online-based marketplace supported by the work of learning-based free agents, and others — running in the background. All of these elements will work to offer us personalized, up-to-date learning experiences — helping each of us stay relevant in the marketplace as well as simply enabling us to enjoy learning about new things.

But the potentially disruptive piece of all of this is that this next generation learning platform could create an Amazon.com of what we now refer to as “higher education.” It could just as easily serve as a platform for offering learning experiences for learners in K-12 as well as the corporate learning & development space.

I’m tracking these developments at:
http://danielschristian.com/thelivingclassroom/

* Also see:

Blockchain, Bitcoin and the Tokenization of Learning — from edsurge.com by Sydney Johnson

Excerpt:

In 2014, Kings College in New York became the first university in the U.S. to accept Bitcoin for tuition payments, a move that seemed more of a PR stunt than the start of some new movement. Much has changed since then, including the value of Bitcoin itself, which skyrocketed to more than $19,000 earlier this month, catapulting cryptocurrencies into the mainstream.

A handful of other universities (and even preschools) now accept Bitcoin for tuition, but that’s hardly the extent of how blockchains and tokens are weaving their way into education: Educators and edtech entrepreneurs are now testing out everything from issuing degrees on the blockchain to paying people in cryptocurrency for their teaching.

The 10 Most Exciting Digital Health Stories of 2017 [Mesko]

On 12/21/2017, in 3D, Artificial Intelligence/Agents/LLMs/and Related, bots, health, human-computer interaction (HCI), innovation, Microsoft, robotics, technology (general), user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, wearables, by Daniel Christian

The 10 Most Exciting Digital Health Stories of 2017 — from medicalfuturist.com by Dr. Bertalan Mesko
Gene-edited human embryo. Self-driving trucks. Practical quantum computers. 2017 has been an exciting year for science, technology – and digital health! It’s that time of the year again when it’s worth looking back at the past months; and list the inventions, methods and milestone events in healthcare to get a clearer picture what will shape medicine for the years to come.

Excerpt:

Medical chatbots and health assistants on the rise
Chatbots, A.I. supported messaging apps or voice controlled bots are forecasted to replace simple messaging apps soon. In healthcare, they could help solve easily diagnosable health concerns or support patient management, e.g. general organizational issues. In the last months, several signs have pointed to the direction that a more widespread use is forthcoming.

Ada Health has been the fastest growing medical app in Europe in 2017. Over 1.5 million people already tried the health companion app, which is able to assess the user’s health based on the indicated symptoms using its vast, A.I.-based database. The UK’s National Health Service (NHS) started to use a chatbot app for dispensing medical advice for a trial period in 2017, with the aim of reducing the burden on its 111 non-emergency helplines. The NHS is developing the app with Babylon Health, one of the new breed of paid, doctor-on-demand services. Although the initial results how patients utilize the new resource show somewhat mixed achievements, I believe, this is the way to go in the future.

Some predictions for 2018: Learning-wise & tech-wise

On 12/20/2017, in 21st century, A/V -- audio/visual, accessibility / UDL, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, Blockchain, bots, business, career development, change, CMS/LMS, collaboration, communications, corporate / business world, data related items, education technology, emerging technologies, future, future of higher education, Google, health, higher education, K-12 related, learning, learning ecosystem, online learning, pace of change, robotics, social media, society, technology (general), trends, United States, universities, vendors, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, workplace, youth, by Daniel Christian

eLearning: Predictions for 2018 — from news.elearninginside.com by Cait Etherington

Excerpts:

The educational technology sector grew substantially in 2017 and all signs point to even greater growth in 2018. Over the past year, the sector was buoyed by several key factors, including a growing recognition that as big data restructures work at an unprecedented pace, there is an urgent need to rethink how education is delivered. In fact, there is now growing evidence that colleges and universities, especially if they continue to operate as they have in the past, will simply not be able to produce the workers needed to fill tomorrow’s jobs. Ed tech, with its capacity to make education more affordable, flexible, and relevant, is increasingly being embraced as the answer to the Fourth Industrial Revolution’s growing talent pipeline challenges.

…

K-12 virtual schools will become a preferred choice
Voice-activation will transform the Learning Management System (LMS) sector
Data will drive learning
Higher ed will increase online course and program offerings

12 tech trends that will define 2018 — from businessinsider.com by Chris Weller

Excerpts:

No one can predict how the future will shake out, but we can make some educated guesses.

Global design and strategy firm frog has shared with Business Insider its forecasts for the technologies that will define the upcoming year. Last year, the firm correctly predicted that buildings would harness the power of nature and that businesses would continue using artificially-intelligent bots to run efficiently.

Get ready to step into the future.

Artificial intelligence will inspire how products are designed
Other companies will join Google in the ‘Algorithm Hall of Fame’
Virtual and augmented reality will become communal experiences
Democracy will cozy up to the blockchain
Augmented reality will invite questions about intellectual property
Consumer tech will feel even friendlier
Tech will become inclusive for all
Anonymous data will make life smarter but still private
Ultra-tiny robots will replace medicine for certain patients
The way we get around will fundamentally transform
Businesses will use data and machine learning to cater to customers
Social media will take on more corporate responsibility

Amazon Intros Alexa for Business + 3 other items on AI

On 12/07/2017, in 21st century, A/V -- audio/visual, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, business, corporate / business world, IT in HE, Microsoft, vendors, web-based collaboration, workplace, by Daniel Christian

Amazon Intros Alexa for Business — from campustechnology.com by Rhea Kelly

Excerpt:

Amazon Web Services today announced Alexa for Business, a new service that provides voice control for office tasks. The Alexa intelligent assistant can help start conference calls, control conference room equipment, schedule meetings, keep track of tasks, notify IT of an equipment issue or reorder supplies, the company noted in a news announcement. The service can also be customized to voice-enable an organization’s specific IT applications and office systems.

Also see:

Shared devices

EDUCAUSE 2017: Microsoft VP Praises the Power of Artificial Intelligence — from edtechmagazine.com
Artificial intelligence and connected systems advancements are creating a foundation where higher education can use insights and data to drive more efficient campus management, Microsoft’s Anthony Salcito explains.

Analysts and AI: A winning combination — from information-age.com
Artificial intelligence is crucial in helping analysts achieve more in day-to-day operations, and drive innovation

Excerpt:

A Capgemini and LinkedIn study of 1,000 companies with revenue of $500 million+ reported that 2 in 3 jobs being created as a result of AI were at management level, and of those that have implemented the technology at scale, 89% believe complex jobs will be made easier, and 88% say humans and machines will co-exist within their business.

A schematic view of #AI & #MachineLearning overlapping with #BigData & #DataAnalytics in #FinServ. @FinStbBoard #DataScience https://t.co/iXT5QDQdwP pic.twitter.com/hP5clqYz8g

— Mike Quindazzi ? (@MikeQuindazzi) December 7, 2017

From DSC:
In this video, I look at how the pace of change has changed and I also provide some examples that back up this assertion. I end with a series of relevant questions, especially for those of us working within higher education.

What are we doing to get ready for the massive change that’s heading our way?

Reflections on “How AI-powered enterprise chatbot platforms are transforming the future of work” [Shaw]

On 12/05/2017, in Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, bots, business, career development, change, computer science, corporate / business world, corporate universities / corporate training, platforms, programming, tools, training / L&D, trends, workplace, by Daniel Christian

How AI-powered enterprise chatbot platforms are transforming the future of work — from chatbotsmagazine.com by Gina Shaw

Excerpts:

WHAT IS AN ENTERPRISE CHATBOT PLATFORM?
To sum it up in a few words, a chatbot platform is a toolset which is used to build and deploy chatbots. Every organization has its own set of unique challenges that can be overcome by convenient automation provided by chatbots. After establishing a clear-cut chatbot strategy, enterprises can use a bot builder platform to build, train and manage customized bots. Before the advent of chatbot platforms, building a bot was a strenuous task and required sophisticated toolsets and advanced coding knowledge. However with time, several bot building platforms flooded the chatbot market and led to the creation of safe AI bots which need minimum deployment time and almost zero coding knowledge. Enterprise chatbot platforms also allow IT departments to have complete control and access to monitoring bots.

From DSC:
It is with some hesitation that I post this article. Why? Because:

I started out my career in a customer service related position at Baxter Healthcare, and it was one of the most important jobs that I’ve had because it taught me the value of a customer. Ever since then, I have treated everyone as my customer — whether they be internal or external to the organization that I was working for.
Then, there’s the idea of calling a Voice Response Unit (VRU) — which sometimes works well and sometimes I can’t stand it. There are times when I/we simply want to speak to a fellow human being.

So it is with some hesitation that I post this article. But I do so because it is yet another example of:

The increased usage of algorithms, software, bots, personal assistants, AI, etc. to obtain answers and information
The changing skillset employees will need and job seekers may want to develop (if such things are interesting to them)
The massive changes heading our way

Amazon & Google have started their own consulting operations, lending out some of their prized AI talent to customers.

On 12/01/2017, in Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, cloud-based computing / apps / other cloud-related, computer science, corporate / business world, data related items, emerging technologies, Google, workplace, by Daniel Christian

Google, Amazon Find Not Everyone Is Ready for AI — from wired.com by Tom Simonite

Excerpt:

Yet as Amazon and Google seek greater riches by infusing the world with artificial intelligence, they’ve started their own consulting operations, lending out some of their prized AI talent to customers. The reason: Those other businesses lack the expertise to take advantage of techniques such as machine learning.

…

The expertise shortage upsets the usual dynamic of the cloud market, where Amazon, Google, and others mostly compete on price and technical features. “If you’re a random manufacturing company in the midwest you may have money, but it’s hard to attract a $250,000-a-year Stanford PhD to work for you,” says Diego Oppenheimer, whose Google-backed startup provides tools that help companies deploy machine-learning software. Companies in that situation may be more swayed by an offer of help building AI, than pricing and performance, he says.

AI: Embracing the promises and realities — from the Allegis Group

Excerpts:

What will that future be? When it comes to jobs, the tea leaves are indecipherable as analysts grapple with emerging technologies, new fields of work, and skills that have yet to be conceived. The only certainty is
that jobs will change. Consider the conflicting predictions put forth by the analyst community:

According to the Organization of Economic Cooperation and Development, only 5-10% of labor would be displaced by intelligent automation, and new job creation will offset losses. (Inserted comment from DSC: Hmmm. ONLY 5-10%!? What?! That’s huge! And don’t count on the majority of those people becoming experts in robotics, algorithms, big data, AI, etc.)
The World Economic Forum27 said in 2016 that 60% of children entering school today will work in jobs that do not yet exist.
47% of all American job functions could be automated within 20 years, according to the Oxford Martin School on Economics in a 2013 report.
In 2016, a KPMG study estimated that 100 million global knowledge workers could be affected by robotic process automation by 2025.

Despite the conflicting views, most analysts agree on one thing: big change is coming. Venture Capitalist David Vandergrift has some words of advice: “Anyone not planning to retire in the next 20 years should be paying pretty close attention to what’s going on in the realm of AI. The supplanting (of jobs) will not happen overnight: the trend over the next couple of decades is going to be towards more and more automation.”30

While analysts may not agree on the timing of AI’s development in the economy, many companies are already seeing its impact on key areas of talent and business strategy. AI is replacing jobs, changing traditional roles, applying pressure on knowledge workers, creating new fields of work, and raising the demand for certain skills.

The emphasis on learning is a key change from previous decades and rounds of automation. Advanced AI is, or will soon be, capable of displacing a very wide range of labor, far beyond the repetitive, low-skill functions traditionally thought to be at risk from automation. In many cases, the pressure on knowledge workers has already begun.

Regardless of industry, however, AI is a real challenge to today’s way of thinking about work, value, and talent scarcity. AI will expand and eventually force many human knowledge workers to reinvent their roles to address issues that machines cannot process. At the same time, AI will create a new demand for skills to guide its growth and development. These emerging areas of expertise will likely be technical or knowledge-intensive fields. In the near term, the competition for workers in these areas may change how companies focus their talent strategies.

Now with over 24,000 skills, where might Amazon’s Alexa end up in our future learning ecosystems?

On 11/29/2017, in 21st century, A/V -- audio/visual, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, Google, ideas, innovation, learner profiles, learning, learning agents, learning ecosystem, Natural Language Processing (NLP), voice recognition / voice enabled interfaces, by Daniel Christian

The Impact of Alexa and Google Home on Consumer Behavior — from chatbotsmagazine.com by Arte Merritt

Excerpt (emphasis DSC):

2017 has turned out to be the year of voice. Amazon Alexa passed over 10 million unit sales earlier in the year and there are over 24,000 Skills in the store. With the addition of new devices like the Echo Show, Echo Plus, improved Echo Dot, and a new form factor for the Echo, there’s an option for everyone’s budget. Google is right there as well with the addition of the Google Mini to go along with the original Google Home. Apple’s efforts with Siri and HomePod, Samsung’s Bixby, and Microsoft’s Cortana round out the major tech firms efforts in this space.

Also see:

How artificial intelligence could transform government [Deloitte University Press]

On 11/28/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, human-computer interaction (HCI), innovation, legislatures / government / legal, strategy, vendors, vision/possibilities, by Daniel Christian

How artificial intelligence could transform government — from Deloitte University Press
Cognitive technologies have the potential to revolutionize the public sector—and save billions of dollars

Excerpt:

The rise of more sophisticated cognitive technologies is, of course, critical to that third era, aiding advances in several categories:

Rules-based systems capture and use experts’ knowledge to provide answers to tricky but routine problems. As this decades-old form of AI grows more sophisticated, users may forget they aren’t conversing with a real person.
Speech recognition transcribes human speech automatically and accurately. The technology is improving as machines collect more examples of conversation. This has obvious value for dictation, phone assistance, and much more.
Machine translation, as the name indicates, translates text or speech from one language to another. Significant advances have been made in this field in only the past year.8 Machine translation has obvious implications for international relations, defense, and intelligence as well as, in our multilingual society, numerous domestic applications.
Computer vision is the ability to identify objects, scenes, and activities in naturally occurring images. It’s how Facebook sorts millions of users’ photos, but it can also scan medical images for indications of disease and identify criminals from surveillance footage. Soon it will allow law enforcement to quickly scan license plate numbers of vehicles stopped at red lights, identifying suspects’ cars in real time.
Machine learning takes place without explicit programming. By trial and error, computers learn how to learn, mining information to discover patterns in data that can help predict future events. The larger the datasets, the easier it is to accurately gauge normal or abnormal behavior. When your email program flags a message as spam, or your credit card company warns you of a potentially fraudulent use of your card, machine learning may be involved. Deep learning is a branch of machine learning involving artificial neural networks inspired by the brain’s structure and function.9
Robotics is the creation and use of machines to perform automated physical functions. The integration of cognitive technologies such as computer vision with sensors and other sophisticated hardware has given rise to a new generation of robots that can work alongside people and perform many tasks in unpredictable environments. Examples include drones, robots used for disaster response, and robot assistants in home health care.
Natural language processing refers to the complex and difficult task of organizing and understanding language in a human way. This goes far beyond interpreting search queries, or translating between Mandarin and English text. Combined with machine learning, a system can scan websites for discussions of specific topics even if the user didn’t input precise search terms. Computers can identify all the people and places mentioned in a document or extract terms and conditions from contracts. As with all AI-enabled technology, these become smarter as they consume more accurate data—and as developers integrate complementary technologies such as machine translation and natural language processing.

…

We’ve developed a framework that can help government agencies assess their own opportunities for deploying these technologies. It involves examining business processes, services, and programs to find where cognitive technologies may be viable, valuable, or even vital. Figure 8 summarizes this “Three Vs” framework. Government agencies can use it to screen the best opportunities for automation or cognitive technologies.

The future of work: How artificial intelligence will transform the employee experience [Meister]

On 11/13/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, corporate / business world, corporate universities / corporate training, future, game-changing environment, human-computer interaction (HCI), ideas, user experience (UX), vendors, workplace, by Daniel Christian

The future of work: How artificial intelligence will transform the employee experience — from forbes.com by Jeanne Meister

Excerpt:

Artificial Intelligence is on the verge of penetrating every major industry from healthcare to advertising, transportation, finance, legal, education, and now inside the workplace. Many of us may have already interacted with a chatbot (defined as an automated, yet personalized, conversation between software and human users) whether it’s on Facebook Messenger to book a hotel room or ordering flowers through 1-800 flowers. According to Facebook Vice President, David Marcus, there are now more than 100,000 chatbots on the Facebook Messenger platform, up from 33,000 in 2016.

As we increase the usage of chatbots in our personal lives, we will expect to use them in the workplace to assist us with things like finding new jobs, answering frequently asked HR related questions or even receiving coaching and mentoring. Chatbots digitize HR processes and enable employees to access HR solutions from anywhere. Using artificial intelligence in HR will create a more seamless employee experience, one that is nimbler and more user driven.

WE ARE NOT READY FOR THIS! Per Forrester Research: In US, a net loss of 7% of jobs to automation — in 2018!

On 11/13/2017, in 21st century, 24x7x365 access, active learning, adult learning, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, business, Canada, career development, change, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, dangers of the status quo, Daniel S. Christian, data related items, digital learning, disruption, education reform, education technology, emerging technologies, Europe, Facebook / Meta Platforms, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, legislatures / government / legal, lifelong learning, microlearning, Microsoft, more voice more choice more control, New "Amazon.com" of Higher Education, online learning, organizational change, pace of change, platforms, professional development, reinvent, research, robotics, second screen apps, society, staying relevant, strategy, streams of content, surviving, technologies for your home, the downsides of how people use tech, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

Forrester predicts that AI-enabled automation will eliminate 9% of US jobs in 2018 — from forbes.com by Gil Press

Excerpt (emphasis DSC):

A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.

We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:

Automation will eliminate 9% of US jobs but will create 2% more.
In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.” Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.

Your next entry-level compliance staffer will be a robot.

From DSC:

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!

That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.

But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:

Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality

Learning Ecosystems

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Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.

***Are we ready for this?! ***

AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?

My answer: No, we can’t. But we need to be able to — and very soon!

Categories

Tags

**Are we ready for a net loss of 7% of jobs in our workforce due to automation — next year? Last I checked, it was November 2017, and 2018 will be here before we know it.**

Are we ready for this?!