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.

 

 

 

 

Ginni Rometty on the End of Programming — from bloomberg.com by Megan Murphy
The IBM chief dares to imagine what Watson will be when it grows up, and reaffirms her pledge to hire 25,000 people over the next four years.

Excerpt (emphasis DSC):

Do you feel we’re going to get to a point where AI will displace more jobs than it creates and we’re not doing enough to push forward with the jobs of the future?

I do believe that when it comes to complete job replacement, it will be a very small percentage. When it comes to changing a job and what you do, it will be 100 percent. “Whoa, different skills. Everybody is going to have to have a different skill because it’s going to be a threat in all our jobs.” Let me just park that thought. I want to come back to something I think that’s far more important and is related. The issue of skills is front and center in this country and many countries in the world right now without AI. We already have a world that’s bifurcating between haves and have-nots, and a lot of that is based on education and skills. This country has 5 million to 6 million jobs open. That’s about skill. This is not being caused by AI. We’ve got to revamp education for this era of man and machine. And that means you cannot insist that every person needs to be a university or a Ph.D. graduate to be productive in society. You cannot. It’s not true by the way. We’ve proven that.

You started a six-year high school program. This is a program where they take people through four years of high school, two years of a college equivalent, and then hopefully give them preference in getting into the workforce, again to work with IBM.

In the U.S., in 2015, half of our young people didn’t have an associate’s degree or a college degree. That’s the problem today: the number of people that need to be retrained. I’m far more optimistic that public-private partnerships can solve this dilemma. There will be a hundred pathways to technology becoming viral, driven by governors and states. I always remember when President Obama came to the first one, he goes, “Where are all the computers?” We’re like, “That’s not what we teach these kids.” We’re teaching them a skill about math and problem-solving that’s going to transcend any technology they deal with. The first part is a very simple formula: a curriculum of math, science. The second, give the kids a mentor and then you give them a chance at a job. We will be up to 50,000 kids, and 300 other companies have volunteered. I have a whole bunch of these kids over in Silicon Alley where we have our Watson headquarters.

 

 

I do believe that when it comes to complete job replacement, it will be a very small percentage. When it comes to changing a job and what you do, it will be 100 percent.

 

 

 

The new Autonomous SmartDesk 3 has a built-in touchscreen and AI software — from imore.com by Tory Foulk 

Excerpt:

Can your desk encourage you to stand, remind you to drink water and order you a pizza? No? Well SmartDesk 3 can.

Autonomous announced the launch of the newest iteration of its SmartDesk in a press release today, and is claiming it’s “the world’s most powerful AI-powered standing desk.”

The embedded tablet has a 7″ display and is powered by Autonomous’ own OS platform, and has both Bluetooth and WiFi capabilities so it can interact with the apps on your phone. It features many of its own shortcuts, too – you can make coffee, order food, check the weather, play Spotify playlists, and even request a ride from Uber. Because the tablet syncs with Google Calendar, it will remind you of any meetings you might have throughout the day. And in addition to all of that, SmartDesk 3 monitors how long you sit or stand and reminds you to either stretch your legs or take a break to relax when it feels you need it. After using the AI for a week or so, it will learn your habits – say, when you usually start getting hungry – and begin to anticipate your needs.

 

Autonomous' SmartDesk 3 in white

 

 

 

 

 

Unity Technologies unveils AI toolkit for training machine learning ‘agents’ — from therobotreport.com by Alex Beall

Excerpt:

Unity Technologies released the open beta version of its Unity Machine Learning Agents, an artificial intelligence toolkit developers and researchers can use to virtually train agents —whether video game characters, autonomous vehicles or robots.

“Machine learning is a disruptive technology that is important to all types of developers and researchers to make their games or systems smarter, but complexities and technical barriers make it out of reach for most,” vice president of AI and machine learning Danny Lange said in a press release. “This is an exciting new chapter in AI’s history as we are making an end-to-end machine learning environment widely accessible, and providing the critical tools needed to make more intelligent, beautiful games and applications. Complete with Unity’s physics engine and a 3D photorealistic rendering environment, our AI toolkit also offers a game-changing AI research platform to a rapidly growing community of AI enthusiasts exploring the frontiers of Deep Learning.”

 

 

 

 

How Chatbot Tech Takes Customer Service to the Next Level — from nojitter.com by Yaniv Reznik
A chatbot’s combination of personalized service and quick, efficient answers perfectly fits the needs of today’s digital consumers.

Excerpts:

Rather, today’s connected consumers want a seamless online experience that immediately allows them to self-serve when they have a quick question or choose a hybrid approach when they need that personal touch from a live representative.

Chatbots empower consumers to take charge of their own brand experience and efficiently get the answers they need. Consumers demand accuracy and convenience, and chatbots provide the perfect balance of speed, personalization, and human touch necessary for improved customer experiences.

The key to implementing chatbots that go beyond scripted responses is Natural Language Processing (NLP). Chatbots equipped with this advanced technology can understand situational context and can therefore get to the root of customer questions without putting customers on hold or redirecting them.

 

 

 

 



 

Addendum on 9/25/17:

One year later, Microsoft AI and Research grows to 8k people in massive bet on artificial intelligence — from geekwire.com by Todd Bishop

Excerpt:

One way to measure Microsoft’s AI bet: In its first year of operation, the AI and Research group has grown by 60 percent — from 5,000 people originally to nearly 8,000 people today — through hiring and acquisitions, and by bringing aboard additional teams from other parts of the company.

The creation of Microsoft AI and Research also underscores the intense competition in artificial intelligence. Microsoft is gearing up to compete against the likes of Google, Amazon, Salesforce, Apple, and countless AI startups and research groups, all of them looking to lead the tech industry in this new era of artificial intelligence.

 



 

 

 

 

 

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:

 


 

 

A survey of 3,000 executives reveals how businesses succeed with AI — from hbr.org by Jacques Bughin, Brian McCarthy, Michael Chui

Excerpt:

The buzz over artificial intelligence (AI) has grown loud enough to penetrate the C-suites of organizations around the world, and for good reason. Investment in AI is growing and is increasingly coming from organizations outside the tech space. And AI success stories are becoming more numerous and diverse, from Amazon reaping operational efficiencies using its AI-powered Kiva warehouse robots, to GE keeping its industrial equipment running by leveraging AI for predictive maintenance.

While it’s clear that CEOs need to consider AI’s business implications, the technology’s nascence in business settings makes it less clear how to profitably employ it. Through a study of AI that included a survey of 3,073 executives and 160 case studies across 14 sectors and 10 countries, and through a separate digital research program, we have identified 10 key insights CEOs need to know to embark on a successful AI journey.

 

 

Make no mistake: The next digital frontier is here, and it’s AI. While some firms are still reeling from previous digital disruptions, a new one is taking shape. But it’s early days. There’s still time to make AI a competitive advantage.

 

 

 

IBM and MIT to Pursue Joint Research in Artificial Intelligence, Establish New MIT-IBM Watson AI Lab — from  by
IBM plans to make a 10-Year, $240 Million Investment in new lab with MIT to advance AI hardware and software and algorithms

Excerpt:

CAMBRIDGE, Mass., Sept. 7, 2017 /PRNewswire/ — IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

 

The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research…

 

 

 

Codify Academy Taps IBM Cloud with Watson to Design Cognitive Chatbot — from finance.yahoo.com
Chatbot “Bobbot” has driven thousands of potential leads, 10 percent increase in converting visitors to students

Excerpt:

ARMONK, N.Y., Aug. 4, 2017 /PRNewswire/ — IBM (NYSE: IBM) today announced that Codify Academy, a San Francisco-based developer education startup, tapped into IBM Cloud’s cognitive services to create an interactive cognitive chatbot, Bobbot, that is improving student experiences and increasing enrollment.

Using the IBM Watson Conversation Service, Bobbot fields questions from prospective and current students in natural language via the company’s website. Since implementing the chatbot, Codify Academy has engaged thousands of potential leads through live conversation between the bot and site visitors, leading to a 10 percent increase in converting these visitors into students.

 

 

Bobbot can answer more than 200 common questions about enrollment, course and program details, tuition, and prerequisites, in turn enabling Codify Academy staff to focus on deeper, more meaningful exchanges.

 

 

 


Also see:

Chatbots — The Beginners Guide
 — from chatbotsmagazine.com

Excerpt:

If you search for chatbots on Google, you’ll probably come across hundreds of pages starting from what is a chatbot to how to build one. This is because we’re in 2017, the year of the chatbots revolution.

I’ve been introduced to many people who are new to this space, and who are very interested and motivated in entering it, rather they’re software developers, entrepreneurs, or just tech hobbyists. Entering this space for the first time, has become overwhelming in just a few months, particularly after Facebook announced the release of the messenger API at F8 developer conference. Due to this matter, I’ve decided to simplify the basic steps of entering this fascinating world.

 


 

 

 

 

 

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.

 

 

 

McKinsey’s State Of Machine Learning & AI, 2017 — from forbes.com by Louis Columbus

Excerpts:

These and other findings are from the McKinsey Global Institute Study, and discussion paper, Artificial Intelligence, The Next Digital Frontier (80 pp., PDF, free, no opt-in) published last month. McKinsey Global Institute published an article summarizing the findings titled   How Artificial Intelligence Can Deliver Real Value To Companies. McKinsey interviewed more than 3,000 senior executives on the use of AI technologies, their companies’ prospects for further deployment, and AI’s impact on markets, governments, and individuals.  McKinsey Analytics was also utilized in the development of this study and discussion paper.

 

Video: 4 FAQs about Watson as tutor — from er.educause.edu by Satya Nitta

Excerpt:

How is IBM using Watson’s intelligent tutoring system? So we are attempting to mimic the best practices of human tutoring. The gold standard will always remain one on one human to human tutoring. The whole idea here is an intelligent tutoring system as a computing system that works autonomously with learners, so there is no human intervention. It’s basically pretending to be the teacher itself and it’s working with the learner. What we’re attempting to do is we’re attempting to basically put conversational systems, systems that understand human conversation and dialogue, and we’re trying to build a system that, in a very natural way, interacts with people through conversation. The system basically has the ability to ask questions, to answer questions, to know who you are and where you are in your learning journey, what you’re struggling with, what you’re strong on and it will personalize its pedagogy to you.

There’s a natural language understanding system and a machine learning system that’s trying to figure out where you are in your learning journey and what the appropriate intervention is for you. The natural language system enables this interaction that’s very rich and conversation-based, where you can basically have a human-like conversation with it and, to a large extent, it will try to understand and to retrieve the right things for you. Again the most important thing is that we will set the expectations appropriately and we have appropriate exit criteria for when the system doesn’t actually understand what you’re trying to do.

 

 

 

What a future, powerful, global learning platform will look & act like [Christian]


Learning from the Living [Class] Room:
A vision for a global, powerful, next generation learning platform

By Daniel Christian

NOTE: Having recently lost my Senior Instructional Designer position due to a staff reduction program, I am looking to help build such a platform as this. So if you are working on such a platform or know of someone who is, please let me know: danielchristian55@gmail.com.

I want to help people reinvent themselves quickly, efficiently, and cost-effectively — while providing more choice, more control to lifelong learners. This will become critically important as artificial intelligence, robotics, algorithms, and automation continue to impact the workplace.


 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

Learning from the Living [Class] Room:
A global, powerful, next generation learning platform

 

What does the vision entail?

  • A new, global, collaborative learning platform that offers more choice, more control to learners of all ages – 24×7 – and could become the organization that futurist Thomas Frey discusses here with Business Insider:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.

  • A learner-centered platform that is enabled by – and reliant upon – human beings but is backed up by a powerful suite of technologies that work together in order to help people reinvent themselves quickly, conveniently, and extremely cost-effectively
  • An AI-backed system of analyzing employment trends and opportunities will highlight those courses and “streams of content” that will help someone obtain the most in-demand skills
  • A system that tracks learning and, via Blockchain-based technologies, feeds all completed learning modules/courses into learners’ web-based learner profiles
  • A learning platform that provides customized, personalized recommendation lists – based upon the learner’s goals
  • A platform that delivers customized, personalized learning within a self-directed course (meant for those content creators who want to deliver more sophisticated courses/modules while moving people through the relevant Zones of Proximal Development)
  • Notifications and/or inspirational quotes will be available upon request to help provide motivation, encouragement, and accountability – helping learners establish habits of continual, lifelong-based learning
  • (Potentially) An online-based marketplace, matching learners with teachers, professors, and other such Subject Matter Experts (SMEs)
  • (Potentially) Direct access to popular job search sites
  • (Potentially) Direct access to resources that describe what other companies do/provide and descriptions of any particular company’s culture (as described by current and former employees and freelancers)

Further details:
While basic courses will be accessible via mobile devices, the optimal learning experience will leverage two or more displays/devices. So while smaller smartphones, laptops, and/or desktop workstations will be used to communicate synchronously or asynchronously with other learners, the larger displays will deliver an excellent learning environment for times when there is:

  • A Subject Matter Expert (SME) giving a talk or making a presentation on any given topic
  • A need to display multiple things going on at once, such as:
  • The SME(s)
  • An application or multiple applications that the SME(s) are using
  • Content/resources that learners are submitting in real-time (think Bluescape, T1V, Prysm, other)
  • The ability to annotate on top of the application(s) and point to things w/in the app(s)
  • Media being used to support the presentation such as pictures, graphics, graphs, videos, simulations, animations, audio, links to other resources, GPS coordinates for an app such as Google Earth, other
  • Other attendees (think Google Hangouts, Skype, Polycom, or other videoconferencing tools)
  • An (optional) representation of the Personal Assistant (such as today’s Alexa, Siri, M, Google Assistant, etc.) that’s being employed via the use of Artificial Intelligence (AI)

This new learning platform will also feature:

  • Voice-based commands to drive the system (via Natural Language Processing (NLP))
  • Language translation (using techs similar to what’s being used in Translate One2One, an earpiece powered by IBM Watson)
  • Speech-to-text capabilities for use w/ chatbots, messaging, inserting discussion board postings
  • Text-to-speech capabilities as an assistive technology and also for everyone to be able to be mobile while listening to what’s been typed
  • Chatbots
    • For learning how to use the system
    • For asking questions of – and addressing any issues with – the organization owning the system (credentials, payments, obtaining technical support, etc.)
    • For asking questions within a course
  • As many profiles as needed per household
  • (Optional) Machine-to-machine-based communications to automatically launch the correct profile when the system is initiated (from one’s smartphone, laptop, workstation, and/or tablet to a receiver for the system)
  • (Optional) Voice recognition to efficiently launch the desired profile
  • (Optional) Facial recognition to efficiently launch the desired profile
  • (Optional) Upon system launch, to immediately return to where the learner previously left off
  • The capability of the webcam to recognize objects and bring up relevant resources for that object
  • A built in RSS feed aggregator – or a similar technology – to enable learners to tap into the relevant “streams of content” that are constantly flowing by them
  • Social media dashboards/portals – providing quick access to multiple sources of content and whereby learners can contribute their own “streams of content”

In the future, new forms of Human Computer Interaction (HCI) such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) will be integrated into this new learning environment – providing entirely new means of collaborating with one another.

Likely players:

  • Amazon – personal assistance via Alexa
  • Apple – personal assistance via Siri
  • Google – personal assistance via Google Assistant; language translation
  • Facebook — personal assistance via M
  • Microsoft – personal assistance via Cortana; language translation
  • IBM Watson – cognitive computing; language translation
  • Polycom – videoconferencing
  • Blackboard – videoconferencing, application sharing, chat, interactive whiteboard
  • T1V, Prsym, and/or Bluescape – submitting content to a digital canvas/workspace
  • Samsung, Sharp, LCD, and others – for large displays with integrated microphones, speakers, webcams, etc.
  • Feedly – RSS aggregator
  • _________ – for providing backchannels
  • _________ – for tools to create videocasts and interactive videos
  • _________ – for blogs, wikis, podcasts, journals
  • _________ – for quizzes/assessments
  • _________ – for discussion boards/forums
  • _________ – for creating AR, MR, and/or VR-based content

 

 

AIG teams with IBM to use blockchain for ‘smart’ insurance policy — from reuters.com by Suzanne Barlyn

Excerpt (emphasis DSC):

Insurer American International Group Inc has partnered with International Business Machines Corp to develop a “smart” insurance policy that uses blockchain to manage complex international coverage, the companies said on Wednesday.

AIG and IBM completed a pilot of a so-called “smart contract” multi-national policy for Standard Chartered Bank PLC which the companies said is the first of its kind using blockchain’s digital ledger technology.

IBM has been partnering with leading companies in various industries, including Danish transport company Maersk, to create blockchain-based products that can streamline complex international dealings across sectors.

 

Blockchain technology, which powers the digital currency bitcoin, enables data sharing across a network of individual computers. It has gained worldwide popularity due to its usefulness in recording and keeping track of assets or transactions across all industries.

 

 

From DSC:
Why post this item? Because IBM and others are experimenting with and investing millions into blockchain-based technologies; and because the manner in which credentials are stored and recognized will most likely be significantly impacted by blockchain-based technologies. Earlier this year at the Next Generation Learning Spaces Conference in San Diego, I mentioned that this topic of blockchain-based technologies is something that should be on our radars within higher education.

 

 

 

 

 

 
© 2017 | Daniel Christian