Natural Language Processing (NLP)

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.”

10 really hard decisions coming our way — from gettingsmart.com by Tom Vander Ark

Excerpt (emphasis DSC):

Things are about to get interesting. You’ve likely heard that Google’s DeepMind recently beat the world’s best Go player. But in far more practical and pervasive ways, artificial intelligence (AI) is creeping into every aspect of life–every screen you view, every search, every purchase, and every customer service contact.

What’s happening? It’s the confluence of several technologies–Moore’s law made storage, computing, and access devices almost free.

This Venn diagram illustrates how deep learning is a subset of AI and how, when combined with big data, can inform enabling technologies in many sectors. For examples, to AI and big data add:

Robotics, and you have industry 4.0.
Cameras and sensor package, and you have self-driving cars.
Sensors and bioinformatic maps, and you have precision medicine.

While there is lots of good news here–diseases will be eradicated and clean energy will be produced–we have a problem: this stuff is moving faster than civic infrastructure can handle. Innovation is outpacing public policy on all fronts. The following are 10 examples of issues coming at us fast that we (in the US in particular) are not ready to deal with.

Unemployment.
Income inequality.
Privacy
Algorithmic bias.
Access.
Machine ethics.
Weaponization.
Humanity.
Genome editing.
Bad AI.

From DSC:
Readers of this blog will know that I’m big on pulse-checking the pace of technological change — because it has enormous ramifications for societies throughout the globe, as well as for individuals, workforces, corporations, jobs, education, training, higher education and more. Readers of this blog will again hear me say that the pace of change has changed. We’re now on an exponential pace/trajectory (vs. a slow, steady, linear path).

“Innovation is outpacing public policy on all fronts.”

How true this is. Our society doesn’t know how to deal with this new pace of change. How shall we tackle this thorny issue?

Reflections on “Faculty Predict Virtual/Augmented/Mixed Reality Will Be Key to Ed Tech in 10 Years” [Kelly]

On 10/12/2017, in 3D, A/V -- audio/visual, attention, Augmented Reality (AR), Blockchain, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, community colleges, Daniel S. Christian, digital audio, digital learning, digital video, education technology, emerging technologies, engagement / engaging students, future, future of higher education, innovation, internet, IT in HE, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Mixed Reality (MR), mobile learning, mobile technologies, Natural Language Processing (NLP), personalized/customized learning, platforms, smart classrooms, streams of content, student-related, teachers, teaching & learning, tools, United States, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, wearables, web-based collaboration, by Daniel Christian

Faculty Predict Virtual/Augmented/Mixed Reality Will Be Key to Ed Tech in 10 Years — from campustechnology.com by Rhea Kelly
Faculty in our 2017 Teaching with Technology Survey believe tech will play a positive role in the future of higher education — but some technologies will be more important than others.

Excerpt:

What technologies do faculty think will be important in education over the next decade? The most popular answer to that question by far was virtual/augmented/mixed reality, garnering 81 percent of responses (it topped the list last year as well). Mobile devices and apps, 3D modeling/scanning/printing, adaptive/personalized learning and video/streaming all rounded out the top five.

From DSC:
Great to see several of these items made the list. I would also add:

The use of Natural Language Processing (NLP) to allow more voice-enabled and voice-driven applications
Learning agents/bots (for example, a learning-related bot could go find out the top 50-100 jobs that employers are hiring for and present a list of potential digital playlists from a variety of providers that would help potential employees be able to do the work in those positions)
Blockchain and the use of web-based learner profiles
Artificial Intelligence / cognitive computing (which could be argued is already mentioned in the item re: adaptive, personalized learning)
Moving towards providing up-to-date streams of content (for purposes of lifelong learning and microlearning)

Finally, it was great to see #9 on the list as I, too, believe that a next gen learning platform is needed:

Check out these huge announcements from Microsoft’s Windows 10 Mixed Reality Event & Google’s Pixel 2 Event

On 10/04/2017, in A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, career development, collaboration, communities of practice, corporate / business world, corporate universities / corporate training, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, Google, human-computer interaction (HCI), innovation, machine-to-machine communications, Microsoft, Mixed Reality (MR), multimedia, music, Natural Language Processing (NLP), technologies for your home, tools, training / L&D, trends, user experience (UX), user interface design, vendors, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, webinars, workplace, by Daniel Christian

From DSC:
Before we get to the announcements in more detail….
can you imagine being a teacher, a professor, or a trainer — with all of the required applications
launched — if you were the presenter in this video at say the 12:45 mark?

If you are at all interesting in emerging technologies and what several pieces
of our future learning ecosystems — and meeting spaces — could easily look like,
you NEED to watch the entire presentation.

Also, they announced
Microsoft’s purchase of AltspaceVR…in virtual reality!
This clip shows them meeting in a virtual space.

The era of Windows Mixed Reality begins October 17 — from blogs.windows.com by Alex Kipman
Samsung unveils Windows Mixed Reality headset, AltSpaceVR joins Microsoft, SteamVR catalog coming to Windows Mixed Reality this holiday.

At an event in San Francisco we unveiled our vision for Windows Mixed Reality, announced SteamVR and AltSpaceVR are coming to Windows Mixed Reality, introduced the new Samsung Odyssey HMD, and kicked off the holiday shopping season by announcing the availability of pre-orders for Windows Mixed Reality headsets at the Microsoft Store.

Also see:

Mixed Reality at Microsoft’s site

Inside VR & AR

Oct 4th, 2017

Microsoft held its long-awaited launch of Windows 10 Mixed Reality yesterday, and while most of the new devices and products had been leaked earlier, there were still some big takeaways. Here are some of them:

Mixed Reality: Microsoft gave a demo of what its new platform will do, covering the AR/VR spectrum with games, apps, and experiences. One such experience is Cliff House, a virtual work space and entertainment room.
Altspace VR: When the pioneering social VR app shut down this summer and was rescued by a “third party,” people wondered who that was. Turns out it was Microsoft, which acquired Altspace VR for an undisclosed amount. The acquisition was announced yesterday.
Steam VR and Halo: Microsoft had previously announced that its new Mixed Reality headsets would support Steam VR titles. Developers can now access that support, and consumers will be able to access it later this year. In addition to the hundreds of VR titles available on Steam, on Oct. 17, Microsoft will offer free downloads of Halo Recruit.
Odyssey and other headsets: The new Windows 10 platform is launching alongside a host of new headsets. In addition to the new Odyssey, which was made in partnership with Samsung, there are other headsets forthcoming from Acer, HP, Dell, Lenovo, and Asus.
2018 Olympics: This was announced previously in June, but yesterday Microsoft briefed the press that Intel is partnering with the International Olympic Committee to bring Windows Mixed Reality experiences to the 2018 games.

Watch the Google Pixel 2 event in 19 minutes — from the verge.com by Natt Garun
The Google Pixel event has wrapped and we got a good look at a bunch of new hardware lineup this year: the second generation of Pixel smartphones, new Google Homes, a Pixelbook, and a surprise new Google camera that uses artificial intelligence to snap pictures and videos of your family. Is it as weird as it sounds? If you missed the keynote where Google presented everything, here’s a recap of everything Google announced in about two hours cut into a 19-minute video so you can see for yourself if these new products will make it to your shopping list this holiday season.
Google Upgrades Virtual-Reality Headset, Debuts Augmented-Reality Features — from bloomberg.com by Mark Gurman
Google is turning Stranger Things characters into adorable augmented reality stickers — from the verge.com by Adi Robertson
Google Pixel 2 and 2 XL announced with water resistance, ‘dual-pixel’ camera, and always-on display — from theverge.com by Jacob Kastrenakes
The 5 biggest announcements from Google’s Pixel 2 event — from theverge.com by Shannon Liao
Google Launches PixelBook Laptop Embedded With its Services — from bloomberg.com by Mark Gurman

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.

Amazon and Codecademy team up for free Alexa skills training [Khari Johnson]; 20,000+ “skills” now exist in Alexa Skills Store

On 09/26/2017, in 21st century, A/V -- audio/visual, Amazon, Artificial Intelligence/Agents/LLMs/and Related, bots, business, change, computer science, game-changing environment, MOOCs -- Massive Open Online Courses, Natural Language Processing (NLP), platforms, programming, usability, user experience (UX), vendors, voice recognition / voice enabled interfaces, by Daniel Christian

Amazon and Codecademy team up for free Alexa skills training — from venturebeat.com by Khari Johnson

Excerpt:

Amazon and tech training app Codecademy have collaborated to create a series of free courses. Available today, the courses are meant to train developers as well as beginners how to create skills, the voice apps that interact with Alexa.

Since opening Alexa to third-party developers in 2015, more than 20,000 skills have been made available in the Alexa Skills Store.

DeepMind, Vodafone, Google & Facebook – Deep Learning & AI Highlights [UK; Johnson]

On 09/26/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, business, emerging technologies, Facebook / Meta Platforms, future, game-changing environment, Google, Natural Language Processing (NLP), UK, user experience (UX), vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

DeepMind, Vodafone, Google & Facebook – Deep Learning & AI Highlights — from re-work.co by Nikita Johnson

Excerpt:

This week, the The Deep Learning Summit and AI Assistant Summit saw over 450 DL and AI experts and enthusiasts come together to learn from each other and explore the most recent research and progressions in the space. Over the past two days we’ve heard from the likes of Amazon, Facebook, Google, Vodafone, as well as Universities such as Cambridge, Warwick, UCL, Imperial, and exciting new startups like Jukedeck and Echobox. Topics have been incredibly diverse covering NLP, space exploration, ML for music composition, and many more.

We’ve collected some of our favourite takeaways from both tracks over the last two days, as well as hearing what our attendees thought.

What did we hear at the AI Assistant Summit?
I’m driving in France and google translate is automatically translating all the french road signs for me and directing me to my location, telling me my time of arrival – this is the future. There is no interface there is no screen.
Adi Chhabra, Evolution of AI & Machine Learning in Customer Experience – Beyond Interfaces, Vodafone
…
We are at the beginning of the era of assistance. In the future every employee will have an assistant to help him with decision making.
Christophe Bourguignat, Deep Learning for Conversational Intelligence on Analytics Data, Zelros

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, social learning / networks, staying relevant, surviving, tools, training / L&D, TVs, 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

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.

This week’s announcements/coverage from Apple’s 9/12/17 Special Event.

On 09/14/2017, in Apple, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), computer science, human-computer interaction (HCI), innovation, Natural Language Processing (NLP), platforms, programming, technologies for your home, television, tools, TVs, user experience (UX), vendors, by Daniel Christian

Also see:

Everything Apple Announced — from wired.comby Arielle Pardes

Excerpt:

To much fanfare, Apple CEO Tim Cook unveiled the next crop of iPhones [on 9/12/17] at the new Steve Jobs Theater on Apple’s new headquarters in Cupertino. With the introduction of three new phones, Cook made clear that Apple’s premiere product is very much still evolving. The iPhone X, he said, represents “the future of smartphones”: a platform for augmented reality, a tool for powerful computing, screen for everything. But it’s not all about the iPhones. The event also brought with it a brand new Apple Watch, upgrades to Apple TV, and a host of other features coming to the Apple ecosystem this fall. Missed the big show? Check out our archived live coverage of Apple’s big bash, and read all the highlights below.

iPhone Event 2017 — from techcrunch.com

From DSC:
A nice listing of articles that cover all of the announcements.

Apple Bets on Augmented Reality to Sell Its Most Expensive Phone — from bloomberg.com by Alex Webb and Mark Gurman

Excerpt:

Apple Inc. packed its $1,000 iPhone with augmented reality features, betting the nascent technology will persuade consumers to pay premium prices for its products even as cheaper alternatives abound.

The iPhone X, Apple’s most expensive phone ever, was one of three new models Chief Executive Officer Tim Cook showed off during an event at the company’s new $5 billion headquarters in Cupertino, California, on Tuesday. It also rolled out an updated Apple Watch with a cellular connection and an Apple TV set-top box that supports higher-definition video.
…

Augmented Reality
Apple executives spent much of Tuesday’s event describing how AR is at the core of the new flagship iPhone X. Its new screen, 3-D sensors, and dual cameras are designed for AR video games and other more-practical uses such as measuring digital objects in real world spaces. Months before the launch, Apple released a tool called ARKit that made it easier for developers to add AR capabilities to their apps.

These technologies have never been available in consumer devices and “solidify the platform on which Apple will retain and grow its user base for the next decade,” Gene Munster of Loup Ventures wrote in a note following Apple’s event.

The company is also working on smart glasses that may be AR-enabled, people familiar with the plan told Bloomberg earlier this year.

Meet the iPhone X, Apple’s New High-End Handset — from wired.com by David Pierce

Excerpt:

First of all, the X looks like no other phone. It doesn’t even look like an iPhone. On the front, it’s screen head to foot, save for a small trapezoidal notch taken out of the top where Apple put selfie cameras and sensors. Otherwise, the bezel around the edge of the phone has been whittled to near-nonexistence and the home button disappeared—all screen and nothing else. The case is made of glass and stainless steel, like the much-loved iPhone 4. The notched screen might take some getting used to, but the phone’s a stunner. It goes on sale starting at $999 on October 27, and it ships November 3.
…
If you can’t get your hands on an iPhone X in the near future, Apple still has two new models for you. The iPhone 8 and 8 Plus both look like the iPhone 7—with home buttons!—but offer a few big upgrades to match the iPhone X. Both new models support wireless charging, run the latest A11 Bionic processor, and have 2 gigs of RAM. They also have glass backs, which gives them a glossy new look. They don’t have OLED screens, but they’re getting the same TrueTone tech as the X, and they can shoot video in 4K.

Apple Debuts the Series 3 Apple Watch, Now With Cellular — from wired.com by David Pierce

Ikea and Apple team up on augmented reality home design app — from curbed.com by Asad Syrkett
The ‘Ikea Place’ app lets shoppers virtually test drive furniture

The New Apple iPhone 8 Is Built for Photography and Augmented Reality — from time.com by Alex Fitzpatrick

Excerpt:

Apple says the new iPhones are also optimized for augmented reality, or AR, which is software that makes it appear that digital images exist in the user’s real-world environment. Apple SVP Phil Schiller demonstrated several apps making use of AR technology, from a baseball app that shows users player statistics when pointing their phone at the field to a stargazing app that displays the location of constellations and other celestial objects in the night sky. Gaming will be a major use case for AR as well.

Apple’s new iPhone 8 and iPhone 8 plus will have wireless charging as well. Users will be able to charge the device by laying it down on a specially-designed power mat on their desk, bedside table or inside their car, similar to how the Apple Watch charges. (Competing Android devices have long had a similar feature.) Apple is using the Qi wireless charging standard for the iPhones.

Why you shouldn’t unlock your phone with your face — from medium.com by Quincy Larson

Excerpt:

Today Apple announced its new FaceID technology. It’s a new way to unlock your phone through facial recognition. All you have to do is look at your phone and it will recognize you and unlock itself. At time of writing, nobody outside of Apple has tested the security of FaceID. So this article is about the security of facial recognition, and other forms of biometric identification in general.

Historically, biometric identification has been insecure. Cameras can be tricked. Voices can be recorded. Fingerprints can be lifted. And in many countries?—?including the US?—?the police can legally force you to use your fingerprint to unlock your phone. So they can most certainly point your phone at your face and unlock it against your will. If you value the security of your data?—?your email, social media accounts, family photos, the history of every place you’ve ever been with your phone?—?then I recommend against using biometric identification.

Instead, use a passcode to unlock your phone.

The iPhone lineup just got really compleX — from techcrunch.com by Josh Constine

Apple’s ‘Neural Engine’ Infuses the iPhone With AI Smarts — from wired.com by Tom Simonite

Excerpt:

When Apple CEO Tim Cook introduced the iPhone X Tuesday he claimed it would “set the path for technology for the next decade.” Some new features are superficial: a near-borderless OLED screen and the elimination of the traditional home button. Deep inside the phone, however, is an innovation likely to become standard in future smartphones, and crucial to the long-term dreams of Apple and its competitors.

That feature is the “neural engine,” part of the new A11 processor that Apple developed to power the iPhone X. The engine has circuits tuned to accelerate certain kinds of artificial-intelligence software, called artificial neural networks, that are good at processing images and speech.

Apple said the neural engine would power the algorithms that recognize your face to unlock the phone and transfer your facial expressions onto animated emoji. It also said the new silicon could enable unspecified “other features.”

Chip experts say the neural engine could become central to the future of the iPhone as Apple moves more deeply into areas such as augmented reality and image recognition, which rely on machine-learning algorithms. They predict that Google, Samsung, and other leading mobile-tech companies will soon create neural engines of their own. Earlier this month, China’s Huawei announced a new mobile chip with a dedicated “neural processing unit” to accelerate machine learning.

The End of Typing: The Next Billion Mobile Users Will Rely on Video and Voice — from wsj.com by Eric Bellman
Tech companies are rethinking products for the developing world, creating new winners and losers

Excerpt:

The internet’s global expansion is entering a new phase, and it looks decidedly unlike the last one.

Instead of typing searches and emails, a wave of newcomers—“the next billion,” the tech industry calls them—is avoiding text, using voice activation and communicating with images.

From DSC:
The above article reminds me that our future learning platforms will be largely driven by our voices. That’s why I put it into my vision of a next generation learning platform.

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.

Chatbot “Bobbot” has driven 1000’s of potential leads, 10% increase in converting visitors to students

On 08/08/2017, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, business side of he, cloud-based computing / apps / other cloud-related, colleges, community colleges, emerging technologies, experimentation, Facebook / Meta Platforms, higher education, IBM, Natural Language Processing (NLP), student-related, tools, universities, vendors, by Daniel Christian

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.

Learning Ecosystems

This article reminds me that voice will eventually drive our future learning platforms

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