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:

 

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

 

 

 

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:

 



 

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.

 

 



 

 

 

 

 

 

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 — 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 — 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

 

 

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

Excerpts:

  1. Training materials and interactions will not just be pre-built courses but any structured or unstructured content available to the organization.
  2. Curation of all learning, employee or any useful organizational content will become a whole lot easier.
  3. The learning department won’t have to build it all themselves.
  4. Learning bots and voice enabled learning.
  5. Current workplace learning systems and LMSs will go through a big transition or they will lose relevancy.
  6. 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

 

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

 



 

 

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.

 



 

 

 

 

 

 

 

 

 



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.

 

 

 

 

 

 

Amazon’s Alexa is finally coming to wearable devices for the first time — from yahoo.com by Peter Newman

Excerpt:

Manufacturers have thus far incorporated the voice assistant into speakers, phones, thermostats, and more — but being incorporated into a wearable device is a first for Alexa.

The headphones will let users tap a button to launch the voice assistant, which will connect to the device through the user’s mobile phone and the Bragi app. They will let a wearer engage with the voice assistant while on the go, searching for basic information, shopping for goods on Amazon, or calling for a vehicle from ride-hailing services like Uber, among other possibilities. While all of these capabilities are already possible using a phone, enabling hands-free voice control brings a new level of convenience.

 

 


 

 

 
© 2017 | Daniel Christian