intelligent systems

2018 Tech Trends for Journalism & Media Report + the 2017 Tech Trends Annual Report that I missed from the Future Today Institute

On 11/08/2017, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, business, career development, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, computer science, corporate / business world, digital audio, digital learning, digital textbooks, education, education technology, elearning, emerging technologies, engineering, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, interactivity, internet, journalism, leadership, learning, learning ecosystem, legislatures / government / legal, lifelong learning, machine-to-machine communications, media/film, microlearning, Natural Language Processing (NLP), new media literacies, online learning, organizational change, pace of change, personalized/customized learning, platforms, podcasting, political science, social learning / networks, society, staying relevant, strategy, student-related, technologies for your home, technology (general), tools, trends, universities, user experience (UX), Virtual Reality (VR) / worlds / learning, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

2018 Tech Trends For Journalism Report — from the Future Today Institute

Key Takeaways

2018 marks the beginning of the end of smartphones in the world’s largest economies. What’s coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.

Those in the news ecosystem should factor the trends in this report into their strategic thinking for the coming year, and adjust their planning, operations and business models accordingly.

2017 Tech Trends Annual Report — from the Future Today Institute; this is the first I’ve seen this solid report

Excerpts:

This year’s report has 159 trends.
This is mostly due to the fact that 2016 was the year that many areas of science and technology finally started to converge. As a result we’re seeing a sort of slow-motion explosion––we will undoubtedly look back on the last part of this decade as a pivotal moment in our history on this planet.
…
Our 2017 Trend Report reveals strategic opportunities and challenges for your organization in the coming year. The Future Today Institute’s annual Trend Report prepares leaders and organizations for the year ahead, so that you are better positioned to see emerging technology and adjust your strategy accordingly. Use our report to identify near-future business disruption and competitive threats while simultaneously finding new collaborators and partners. Most importantly, use our report as a jumping off point for deeper strategic planning.

Also see:

Emerging eLearning Tools and Platforms Improve Results — from learningsolutionsmag.com

Augmented and virtual reality offer ways to immerse learners in experiences that can aid training in processes and procedures, provide realistic simulations to deepen empathy and build communication skills, or provide in-the-workflow support for skilled technicians performing complex procedures.
Badges and other digital credentials provide new ways to assess and validate employees’ skills and mark their eLearning achievements, even if their learning takes place informally or outside of the corporate framework.
Chatbots are proving an excellent tool for spaced learning, review of course materials, guiding new hires through onboarding, and supporting new managers with coaching and tips.
Content curation enables L&D professionals to provide information and educational materials from trusted sources that can deepen learners’ knowledge and help them build skills.
eBooks, a relative newcomer to the eLearning arena, offer rich features for portable on-demand content that learners can explore, review, and revisit as needed.
Interactive videos provide branching scenarios, quiz learners on newly introduced concepts and terms, offer prompts for small-group discussions, and do much more to engage learners.
Podcasts can turn drive time into productive time, allowing learners to enjoy a story built around eLearning content.
Smartphone apps, available wherever learners take their phones or tablets, can be designed to offer product support, info for sales personnel, up-to-date information for repair technicians, and games and drills for teaching and reviewing content; the possibilities are limited only by designers’ imagination.
Social platforms like Slack, Yammer, or Instagram facilitate collaboration, sharing of ideas, networking, and social learning. Adopting social learning platforms encourages learners to develop their skills and contribute to their communities of practice, whether inside their companies or more broadly.
xAPI turns any experience into a learning experience. Adding xAPI capability to any suitable tool or platform means you can record learner activity and progress in a learning record store (LRS) and track it.

DevLearn Attendees Learn How to ‘Think Like a Futurist’ — from learningsolutionsmag.com

Excerpt:

How does all of this relate to eLearning? Again, Webb anticipated the question. Her response gave hope to some—and terrified others. She presented three possible future scenarios:

Everyone in the learning arena learns to recognize weak signals; they work with technologists to refine artificial intelligence to instill values. Future machines learn not only to identify correct and incorrect answers; they also learn right and wrong. Webb said that she gives this optimistic scenario a 25 percent chance of occurring.
Everyone present is inspired by her talk but they, and the rest of the learning world, do nothing. Artificial intelligence continues to develop as it has in the past, learning to identify correct answers but lacking values. Webb’s prediction is that this pragmatic optimistic scenario has a 50 percent chance of occurring.
Learning and artificial intelligence continue to develop on separate tracks. Future artificial intelligence and machine learning projects incorporate real biases that affect what and how people learn and how knowledge is transferred. Webb said that she gives this catastrophic scenario a 25 percent chance of occurring.

In an attempt to end on a strong positive note, Webb said that “the future hasn’t happened yet—we think” and encouraged attendees to take action. “To build the future of learning that you want, listen to weak signals now.”

AI and Internet of Things will drive digital transformation through 2020 [Sato]

On 10/30/2017, in Artificial Intelligence/Agents/LLMs/and Related, Blockchain, change, cloud-based computing / apps / other cloud-related, corporate / business world, data related items, future, game-changing environment, ideas, innovation, intelligent systems, internet, pace of change, society, technology (general), trends, vendors, workplace, by Daniel Christian

AI and Internet of Things will drive digital transformation through 2020 — from zdnet.com by Courtney Sato
Research study reveals IoT, AI and synchronous ledger tech (blockchain) priorities.

Excerpt:

Businesses are investing heavily in the Internet of Things (IoT) while remaining cautious about investments in artificial intelligence (AI), reveals the Constellation Research 2017 Digital Transformation Study. However, Constellation expects AI to emerge in 2018 as the predominant area of technological experimentation due to the increasing availability of AI development kits and frameworks.

Nearly half of respondents of the Constellation 2017 Digital Transformation Survey said their organization either had an established IoT strategy with applications in production (19 percent) or have pilot projects underway (28 percent). In contrast, just 25 percent of executives said they were investing in AI.

Highlights:

Charging ahead with IoT
Cautious about AI for now
Blockchain remains enigmatic
Appetite for cloud and big data grow to support digital transformation
Digital transformation goes mainstream
Digital transformation focuses on digital business
The war for talent intensifies

For those seeking to be better communicators/leaders/servants, you need to check out “Communicate Like a True Leader”

On 10/17/2017, in 21st century, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, bots, business, career development, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, computer science, corporate / business world, Daniel S. Christian, emerging technologies, engineering, ethics, Facebook / Meta Platforms, global / globalization, hearts -- matters of the heart, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, leadership, liberal arts, marketing/social marketing, Michigan, Microsoft, morals/values, organizational change, pace of change, presentations, productivity / tips and tricks, professional development, relationships, robotics, society, student-related, teachers, teaching & learning, United States, universities, writing, by Daniel Christian

From DSC:
I know Quentin Schultze from our years working together at Calvin College, in Grand Rapids, Michigan (USA). I have come to greatly appreciate Quin as a person of faith, as an innovative/entrepreneurial professor, as a mentor to his former students, and as an excellent communicator.

Quin has written a very concise, wisdom-packed book that I would like to recommend to those people who are seeking to be better communicators, leaders, and servants. But I would especially like to recommend this book to the leadership at Google, Amazon, Apple, Microsoft, IBM, Facebook, Nvidia, the major companies developing robots, and other high-tech companies. Why do I list these organizations? Because given the exponential pace of technological change, these organizations — and their leaders — have an enormous responsibility to make sure that the technologies that they are developing result in positive changes for societies throughout the globe. They need wisdom, especially as they are working on emerging technologies such as Artificial Intelligence (AI), personal assistants and bots, algorithms, robotics, the Internet of Things, big data, blockchain and more. These technologies continue to exert an increasingly powerful influence on numerous societies throughout the globe today. And we haven’t seen anything yet! Just because we can develop and implement something, doesn’t mean that we should. Again, we need wisdom here.

But as Quin states, it’s not just about knowledge, the mind and our thoughts. It’s about our hearts as well. That is, we need leaders who care about others, who can listen well to others, who can serve others well while avoiding gimmicks, embracing diversity, building trust, fostering compromise and developing/exhibiting many of the other qualities that Quin writes about in his book. Our societies desperately need leaders who care about others and who seek to serve others well.

I highly recommend you pick up a copy of Quin’s book. There are few people who can communicate as much in as few words as Quin can. In fact, I wish that more writing on the web and more articles/research coming out of academia would be as concisely and powerfully written as Quin’s book, Communicate Like a True Leader: 30 Days of Life-Changing Wisdom.

To lead is to accept responsibility and act responsibly.
— Quentin Schultze

Top 10 Strategic Technology Trends for 2018 — from Gartner Research

Summary

The intelligent digital mesh is a foundation for future digital business and its ecosystems. To create competitive advantage, enterprise architecture and technology innovation leaders must evaluate these top trends to identify opportunities that their organizations can exploit.

Key Findings

Artificial intelligence (AI) delivers value to every industry, enabling new business models. It does so by supporting key initiatives such as customer engagement, digital production, smart cities, self-driving cars, risk management, computer vision and speech recognition.
As people, places, processes and “things” become increasingly digitalized, they will be represented by digital twins. This will provide fertile ground for new event-driven business processes and digitally enabled business models and ecosystems.
The way we interact with technology will undergo a radical transformation over the next five to 10 years. Conversational platforms, augmented reality, virtual reality and mixed reality will provide more natural and immersive interactions with the digital world.
A digital business is event-centric, which means it must be continuously sensing and adapting. The same applies to the security and risk infrastructure that supports it, which must focus on deceiving potential intruders and predicting security events.

Table of Contents

Analysis

Trend No. 1: AI Foundation
Today’s AI Is Narrow AI

Trend No. 2: Intelligent Apps and Analytics
Augmented Analytics Will Enable Users to Spend More Time Acting on Insights

Trend No. 3: Intelligent Things
Swarms of Intelligent Things Will Work Together

Trend No. 4: Digital Twins
Digital Twins Will Be Linked to Other Digital Entities

Trend No. 5: Cloud to the Edge
Edge Computing Brings Distributed Computing Into the Cloud Style

Trend No. 6: Conversational Platforms
Integration With Third-Party Services Will Further Increase Usefulness

Trend No. 7: Immersive Experience
VR and AR Can Help Increase Productivity

Trend No. 8: Blockchain
Blockchain Offers Significant Potential Long-Term Benefits Despite Its Challenges

Trend No. 9: Event-Driven Model
Events Will Become More Important in the Intelligent Digital Mesh

Trend No. 10: Continuous Adaptive Risk and Trust
Barriers Must Come Down Between Security and Application Teams

Gartner Recommended Reading

Also see:

AI, Merging of Digital and Physical Worlds Among Top 10 Tech Trends for 2018 — from campustechnology.com by Joshua Bolkan
Excerpt:
Gartner has released its list of top 10 strategic technology trends for 2018 with a focus for the coming year on technologies related to artificial intelligence and machine learning and those that blend the physical and digital worlds.

CIO Roles in Flux [Bolkan]

On 10/06/2017, in change, corporate / business world, human-computer interaction (HCI), innovation, intelligent systems, IT in HE, leadership, trends, workplace, by Daniel Christian

CIO Roles in Flux — from campustechnology.com by Joshua Bolkan

Excerpt:

Nearly all, 95 percent, of chief information officers expect their positions to be changed or remixed owing to digitalization, according to a new report from technology market research firm Gartner. The two largest changes, according to respondents, will be to become change leaders and to assume increased and broader responsibilities.

“The CIO’s role must grow and develop as digital business spreads, and disruptive technologies, including intelligent machines and advanced analytics, reach the masses,” said Andy Rowsell-Jones, vice president and distinguished analyst at Gartner, in a prepared statement. “While delivery is still a part of the job, much greater emphasis is being placed on attaining a far broader set of business objectives.”

A majority of respondents said that technology trends, particularly cybersecurity and artificial intelligence, will significantly change how they do their jobs in the near term.

100 Data and Analytics Predictions Through 2021 — from Gartner

From DSC:
I just wanted to include some excerpts (see below) from Gartner’s 100 Data and Analytics Predictions Through 2021 report. I do so to illustrate how technology’s impact continues to expand/grow in influence throughout many societies around the globe, as well as to say that if you want a sure thing job in the next 1-15 years, I would go into studying data science and/or artificial intelligence!

Excerpts:

As evidenced by its pervasiveness within our vast array of recently published Predicts 2017 research, it is clear that data and analytics are increasingly critical elements across most industries, business functions and IT disciplines. Most significantly, data and analytics are key to a successful digital business. This collection of more than 100 data-and-analytics-related Strategic Planning Assumptions (SPAs) or predictions through 2021, heralds several transformations and challenges ahead that CIOs and data and analytics leaders should embrace and include in their planning for successful strategies. Common themes across the discipline in general, and within particular business functions and industries, include:

Artificial intelligence (AI) is emerging as a core business and analytic competency. Beyond yesteryear’s hard-coded algorithms and manual data science activities, machine learning (ML) promises to transform business processes, reconfigure workforces, optimize infrastructure behavior and blend industries through rapidly improved decision making and process optimization.
Natural language is beginning to play a dual role in many organizations and applications as a source of input for analytic and other applications, and a variety of output, in addition to traditional analytic visualizations.
Information itself is being recognized as a corporate asset (albeit not yet a balance sheet asset), prompting organizations to become more disciplined about monetizing, managing and measuring it as they do with other assets. This includes “spending” it like cash, selling/licensing it to others, participating in emerging data marketplaces, applying asset management principles to improve its quality and availability, and quantifying its value and risks in a variety of ways.
Smart devices that both produce and consume Internet of Things (IoT) data will also move intelligent computing to the edge of business functions, enabling devices in almost every industry to operate and interact with humans and each other without a centralized command and control. The resulting opportunities for innovation are unbounded.
Trust becomes the watchword for businesses, devices and information, leading to the creation of digital ethics frameworks, accreditation and assessments. Most attempts at leveraging blockchain as a trust mechanism fail until technical limitations, particularly performance, are solved.

…

Education
Significant changes to the global education landscape have taken shape in 2016, and spotlight new and interesting trends for 2017 and beyond. “Predicts 2017: Education Gets Personal” is focused on several SPAs, each uniquely contributing to the foundation needed to create the digitalized education environments of the future. Organizations and institutions will require new strategies to leverage existing and new technologies to maximize benefits to the organization in fresh and
innovative ways.

By 2021, more than 30% of institutions will be forced to execute on a personalization strategy to maintain student enrollment.
By 2021, the top 100 higher education institutions will have to adopt AI technologies to stay competitive in research.

…

Artificial Intelligence
Business and IT leaders are stepping up to a broad range of opportunities enabled by AI, including autonomous vehicles, smart vision systems, virtual customer assistants, smart (personal) agents and natural-language processing. Gartner believes that this new general-purpose technology is just beginning a 75-year technology cycle that will have far-reaching implications for every industry. In “Predicts 2017: Artificial Intelligence,” we reflect on the near-term opportunities, and the potential burdens and risks that organizations face in exploiting AI. AI is changing the way in which organizations innovate and communicate their processes, products and services.

Practical strategies for employing AI and choosing the right vendors are available to data and analytics leaders right now.

By 2019, more than 10% of IT hires in customer service will mostly write scripts for bot interactions.
Through 2020, organizations using cognitive ergonomics and system design in new AI projects will achieve long-term success four times more often than others.
By 2020, 20% of companies will dedicate workers to monitor and guide neural networks.
By 2019, startups will overtake Amazon, Google, IBM and Microsoft in driving the AI economy with disruptive business solutions.
By 2019, AI platform services will cannibalize revenues for 30% of market-leading companies. “Predicts 2017: Drones”
By 2020, the top seven commercial drone manufacturers will all offer analytical software packages.
“Predicts 2017: The Reinvention of Buying Behavior in Vertical-Industry Markets”
By 2021, 30% of net new revenue growth from industry-specific solutions will include AI technology.

…

Advanced Analytics and Data Science
Advanced analytics and data science are fast becoming mainstream solutions and competencies in most organizations, even supplanting traditional BI and analytics resources and budgets. They allow more types of knowledge and insights to be extracted from data. To become and remain competitive, enterprises must seek to adopt advanced analytics, and adapt their business models, establish specialist data science teams and rethink their overall strategies to keep pace with the competition. “Predicts 2017: Analytics Strategy and Technology” offers advice on overall strategy, approach and operational transformation to algorithmic business that leadership needs to build to reap the benefits.

By 2018, deep learning (deep neural networks [DNNs]) will be a standard component in 80% of data scientists’ tool boxes.
By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.
By 2019, natural-language generation will be a standard feature of 90% of modern BI and analytics platforms.
By 2019, 50% of analytics queries will be generated using search, natural-language query or voice, or will be autogenerated.
By 2019, citizen data scientists will surpass data scientists in the amount of advanced analysis
produced.

By 2020, 95% of video/image content will never be viewed by humans; instead, it will be vetted by machines that provide some degree of automated analysis.

Through 2020, lack of data science professionals will inhibit 75% of organizations from achieving the full potential of IoT.

Reflections on “Six reasons why disruption is coming to learning departments” [feathercap.net]

On 09/25/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, CMS/LMS, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, disruption, emerging technologies, game-changing environment, human-computer interaction (HCI), innovation, intelligent systems, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, Natural Language Processing (NLP), platforms, reinvent, smart/connected TV, social learning / networks, staying relevant, surviving, tools, training / L&D, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Six reasons why disruption is coming to learning departments — from feathercap.net, with thanks to Mr. Tim Seager for this resource

Excerpts:

Training materials and interactions will not just be pre-built courses but any structured or unstructured content available to the organization.
Curation of all learning, employee or any useful organizational content will become a whole lot easier.
The learning department won’t have to build it all themselves.
Learning bots and voice enabled learning.
Current workplace learning systems and LMSs will go through a big transition or they will lose relevancy.
Learning departments will go beyond onboarding, compliance training and leadership training and move to training everyone in the company on all job skills.

A successful example of this is Amazon.com. As a shopper on their site we have access to millions of book and product SKUs. Amazon uses a combination of all three techniques to position the right book or product based on our behavior, peer experiences as well as having a semantic understanding of the product page we’re viewing. There’s no reason we can’t have the same experience on workplace learning systems where all viable learning content/ company content could be organized and disseminated to each learner for the right time and circumstance.

From DSC:
Several items of what Feathercap is saying in their solid posting remind me of a vision of a next generation learning platform:

Contributing to — and tapping into — streams of content
Lifelong learning and reinventing oneself
Artificial intelligence, including Natural Language Processing (NLP) and the use of voice to drive systems/functionality
Learning agents/bots
24×7 access
Structured and unstructured learning
Socially-based means of learning
…and more

Teachers can now use IBM’s Watson to search for free lesson plans [Noonoo]

On 09/14/2017, in 21st century, 24x7x365 access, IBM, innovation, intelligent systems, K-12 related, mathematics, open courseware and systems, student-related, teachers, teaching & learning, by Daniel Christian

Teachers can now use IBM’s Watson to search for free lesson plans — from edsurge.com by Stephen Noonoo

Excerpt:

IBM’s famous Watson computing system—which defeated Jeopardy champ Ken Jennings in 2011—is coming to education, if not quite the classroom. As part of a new IBM philanthropic initiative, the supercomputer is helping to power a searchable database of open educational math resources designed for teachers in grades K-5.

Today marks the first time the new tool, called Teacher Advisor With Watson 1.0, is open to the public after a lengthy beta testing period that sought input from state education commissioners, teachers unions, school board associations and more than 1,000 teachers.

“We wanted to build and design something for teachers by teachers, with the best information and the best technology available,” says Stan Litow, the President Emeritus of the IBM Foundation and a former deputy chancellor for New York City Department of Education.

The IBM Foundation has been flirting with ideas to apply Watson technology in education for a while, without knowing exactly what it wanted to do with it. The tech giant began last year by pulling in more than 100 top-level education leaders for a daylong event demoing the tech. From that focus group they narrowed the list of potential applications to professional development tools and, eventually, settled on a searchable database exclusively for elementary school math.

Populating the search engine is a collection of more than 1,000 OERs—from sources such as Achieve, UnboundED and statewide orgs like EngageNY—hand-selected by math experts assisting the program.

Also see:

Future Forward: The Next Twenty Years of Higher Education [Blackboard, w/ a variety of contributors]

On 09/08/2017, in 21st century, active learning, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), change, changing business models, CMS/LMS, colleges, community colleges, content development, aggregation, repositories, cost of getting a degree, digital learning, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, face-to-face, faculty, future, future of higher education, game-changing environment, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, leadership, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning theories, lifelong learning, microlearning, more voice more choice more control, new business models, online learning, pace of change, pedagogy, personalized/customized learning, platforms, student-related, teaching & learning, technology (general), tools, universities, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, web-based collaboration, by Daniel Christian

Future Forward: The Next Twenty Years of Higher Education — from Blackboard with a variety of contributors

Excerpts:

As you read their reflections you’ll find several themes emerge over and over:

Our current system is unsustainable and ill-suited for a globally connected world that is constantly changing.
Colleges and universities will have to change their current business model to continue to thrive, boost revenue and drive enrollment.
The “sage on the stage” and the “doc in the box” aren’t sustainable; new technologies will allow faculty to shift their focus on the application of learning rather than the acquisition of knowledge.
Data and the ability to transform that data into action will be the new lifeblood of the institution.
Finally, the heart and soul of any institution are its people. Adopting new technologies is only a small piece of the puzzle; institutions must also work with faculty and staff to change institutional culture.

Some quotes are listed below.

“What’s more, next-generation digital learning environments must bridge the divide between the faculty-directed instructivist model our colleges and universities have always favored and the learner-centric constructivist paradigm their students have come to expect and the economy now demands.”

…

It will be at least 10 years before systems such as this become the standard rather than the exception. Yet to achieve this timeline, we will have to begin fostering a very different campus culture that embraces technology for its experiential value rather than its transactional expediency, while viewing education as a lifelong pursuit rather than a degree-driven activity.

Susan Aldridge

Q: What are the biggest challenges facing higher education right now?

A: I think it is a difficult time for decisionmakers to know how to move boldly forward. It’s almost funny, nobody’s doing five-year strategic plans anymore. We used to do ten-year plans, but now it’s “What’s our guiding set of principles and then let’s sort of generally go towards that.” I think it’s really hard to move an entire institution, to know how to keep it sustainable and serving your core student population. Trying to figure out how to keep moving forward is not as simple as it used to be when you hired faculty and they showed up in the classroom. It’s time for a whole new leadership model. I’m not sure what that is, but we have to start reimagining our organizations and our institutions and even our leadership.

Marie Cini

One of the things that is frustrating to me is the argument that online learning is just another modality. Online learning is much more than that. It’s arguably the most transformative development since the G.I. Bill and, before that, the establishment of land-grant universities.
…
I don’t think we should underestimate the profound impact online education has had and will continue to have on higher education. It’s not just another modality; it’s an entirely new industry.

Robert Hansen

From DSC:
And I would add (to Robert’s quote above) that not since the printing press was invented close to 500 years ago have we seen such an enormously powerful invention as the Internet. To bypass the Internet and the online-based learning opportunities that it can deliver is to move into a risky, potentially dangerous future. If your institution is doing that, your institution’s days could be numbered. As we move into the future — where numerous societies throughout the globe will be full of artificial intelligence, big data, robotics, algorithms, business’ digital transformations, and more — your institutions’ credibility could easily be at stake in a new, increasingly impactful way. Parents and students will want to know that there’s a solid ROI for them. They will want to know that a particular college or university has the foundational/core competencies and skills to prepare the learner for the future that the learner will encounter.

Q: What are the biggest challenges facing higher education right now?

A: I think the biggest challenge is the stubborn refusal of institutions to acknowledge that the 20th century university paradigm no longer works, or at least it doesn’t work anymore for the majority of our institutions. I’m not speaking on behalf of our members, but I think it’s fair to say that institutions are still almost entirely faculty-centered and not market-driven. Faculty, like so many university leaders today who come from faculty ranks, are so often ill-equipped to compete in the Wild West that we’re seeing today, and it’s not their fault. They’re trained to be biologists and historians and philosophers and musicians and English professors, and in the past there was very little need to be entrepreneurial. What’s required of university leadership now looks very much like what’s required in the fastpaced world of private industry.

…

If you are tuition dependent and you haven’t figured out how to serve the adult market yet, you’re in trouble.

Robert Hansen

It’s not just enough to put something online for autodidacts who already have the time, energy, and prior skills to be able to learn on their own. You really need to figure out how to embed all the supports that a student will need to be successful, and I don’t know if we’ve cracked that yet.

Amy Laitinen

The other company is Amazon. Their recent purchase of Whole Foods really surprised everybody. Now you have a massive digital retailer that has made billions staying in the online world going backwards into brick-and-mortar. I think if you look at what you can do on Amazon now, who’s to say in three years or five years, you won’t say, “You know what, I want to take this class. I want to purchase it through Amazon,” and it’s done through Amazon with their own LMS? Who’s to say they’re not already working on it?

Justin Louder

We are focused on four at Laureate. Probably in an increasing order of excitement to me are game-based learning (or gamification), adaptive learning, augmented and virtual reality, and cognitive tutoring.

Darrell Luzzo

I would wave my hand and have people lose their fear of change and recognize that you can innovate and do new things and still stay true to the core mission and values. My hope is that we harness our collective energy to help our students succeed and become fully engaged citizens.

Felice Nudelman

Top Trends in the Gartner Hype Cycle for Emerging Technologies, 2017 — from gartner.com by Kasey Panetta
Enterprises should explain the business potential of blockchain, artificial intelligence and augmented reality.

Excerpt (emphasis DSC):

…emerging technologies such as machine learning, blockchain, drones (commercial UAVs), software-defined security and brain-computer interfaces have moved significantly along the Hype Cycle since 2016.
…

The Gartner Hype Cycle for Emerging Technologies, 2017 focuses on three emerging technology mega-trends: Artificial intelligence (AI) everywhere, transparently immersive experiences and digital platforms. Enterprise architects and technology innovation leaders should explore and ideate these three mega-trends to understand the future impacts to their business.

“Organizations will continue to be faced with rapidly accelerating technology innovation that will profoundly impact the way they deal with their workforces, customers and partners,” says Mike J. Walker, research director. “Our 2017 Hype Cycle reveals three distinct technology trends that profoundly create new experiences with unrivaled intelligence, and offer platforms that propel organizations to connect with new business ecosystems in order to become competitive over the next five to 10 years.”

Why Natural Language Processing is the Future of Business Intelligence — from dzone.com by Gur Tirosh
Until now, we have been interacting with computers in a way that they understand, rather than us. We have learned their language. But now, they’re learning ours.

Excerpt:

Every time you ask Siri for directions, a complex chain of cutting-edge code is activated. It allows “her” to understand your question, find the information you’re looking for, and respond to you in a language that you understand. This has only become possible in the last few years. Until now, we have been interacting with computers in a way that they understand, rather than us. We have learned their language.

But now, they’re learning ours.

The technology underpinning this revolution in human-computer relations is Natural Language Processing (NLP). And it’s already transforming BI, in ways that go far beyond simply making the interface easier. Before long, business transforming, life changing information will be discovered merely by talking with a chatbot.

This future is not far away. In some ways, it’s already here.

What Is Natural Language Processing?
NLP, otherwise known as computational linguistics, is the combination of Machine Learning, AI, and linguistics that allows us to talk to machines as if they were human.

But NLP aims to eventually render GUIs — even UIs — obsolete, so that interacting with a machine is as easy as talking to a human.

2017 Ed Tech Trends: The Halfway Point [Aldridge, Christian, Kelly, Powell, & Ventimiglia]

On 07/31/2017, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, change, Daniel S. Christian, data related items, digital learning, education technology, emerging technologies, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, maker movement, robotics, society, student-related, tools, trends, universities, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

2017 Ed Tech Trends: The Halfway Point — from campustechnology.com by Rhea Kelly
Four higher ed IT leaders weigh in on the current state of education technology and what’s ahead.

This article includes some perspectives shared from the following 4 IT leaders:

Susan Aldridge, Senior Vice President for Online Learning, Drexel University (PA); President, Drexel University Online
Daniel Christian, Adjunct Faculty Member, Calvin College
Marci Powell, CEO/President, Marci Powell & Associates; Chair Emerita and Past President, United States Distance Learning Association
Phil Ventimiglia, Chief Innovation Officer, Georgia State University

Also see:

Higher ed forges ahead on immersive tech integration – from educationdive.com by Pat Donachie

From DSC:
Reviewing the article below made me think of 2 potential additions to the Learning & Development Groups/Departments out there:

Help people build their own learning ecosystems
Design, develop, and implement workbots for self-service

Chatbots Poised to Revolutionize HR — from by Pratibha Nanduri

Excerpt:

Self-service is becoming an increasingly popular trend where people want to perform their tasks without needing help or input from anyone else. The increasing popularity of this trend is mainly attributed to the increasing use of computers and mobile devices to electronically manage all kinds of tasks.

As employee tolerance for downtime reduces and preferences for mobility increases, the bureaucracy which exists in managing everyday HR related tasks in the workplace will also have to be replaced. A large number of companies have still not automated even their basic HR services such as handling inquiries about holidays and leaves. Employees in such organizations still have to send their query and then wait for HR to respond.

As the number of employees goes up in an organization, the time taken by HR managers to respond to mundane admin tasks also increases. This leaves very little time for the HR manager to focus on strategic HR initiatives.

Chatbots that are powered by AI and machine learning are increasingly being used to automate mundane and repetitive tasks. They can also be leveraged in HR to simulate intelligent SMS-based conversations between employees and HR team members to automate basic HR tasks.

The Business of Artificial Intelligence — from hbr.org by Erik Brynjolfsson & Andrew McAfee

Excerpts (emphasis DSC):

The most important general-purpose technology of our era is artificial intelligence, particularly machine learning (ML) — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given. Within just the past few years machine learning has become far more effective and widely available. We can now build systems that learn how to perform tasks on their own.

Why is this such a big deal? Two reasons. First, we humans know more than we can tell: We can’t explain exactly how we’re able to do a lot of things — from recognizing a face to making a smart move in the ancient Asian strategy game of Go. Prior to ML, this inability to articulate our own knowledge meant that we couldn’t automate many tasks. Now we can.

Second, ML systems are often excellent learners. They can achieve superhuman performance in a wide range of activities, including detecting fraud and diagnosing disease. Excellent digital learners are being deployed across the economy, and their impact will be profound.

In the sphere of business, AI is poised have a transformational impact, on the scale of earlier general-purpose technologies. Although it is already in use in thousands of companies around the world, most big opportunities have not yet been tapped. The effects of AI will be magnified in the coming decade, as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning. The bottleneck now is in management, implementation, and business imagination.

…

The machine learns from examples, rather than being explicitly programmed for a particular outcome.

Let’s start by exploring what AI is already doing and how quickly it is improving. The biggest advances have been in two broad areas: perception and cognition. …For instance, Aptonomy and Sanbot, makers respectively of drones and robots, are using improved vision systems to automate much of the work of security guards.

Machine learning is driving changes at three levels: tasks and occupations, business processes, and business models.

You may have noticed that Facebook and other apps now recognize many of your friends’ faces in posted photos and prompt you to tag them with their names.

AI is making it extremely easy for students to cheat — from wired.com by Pippa Biddle

Excerpt (emphasis DSC):

For years, students have turned to CliffsNotes for speedy reads of books, SparkNotes to whip up talking points for class discussions, and Wikipedia to pad their papers with historical tidbits. But today’s students have smarter tools at their disposal—namely, Wolfram|Alpha, a program that uses artificial intelligence to perfectly and untraceably solve equations. Wolfram|Alpha uses natural language processing technology, part of the AI family, to provide students with an academic shortcut that is faster than a tutor, more reliable than copying off of friends, and much easier than figuring out a solution yourself.

Use of Wolfram|Alpha is difficult to trace, and in the hands of ambitious students, its perfect solutions are having unexpected consequences.

Learning Ecosystems

CIO Roles in Flux [Bolkan]

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