With great power comes great responsibility—and artificial-intelligence technology is getting much more powerful. Companies in the vanguard of developing and deploying machine learning and AI are now starting to talk openly about ethical challenges raised by their increasingly smart creations.
“We’re here at an inflection point for AI,” said Eric Horvitz, managing director of Microsoft Research, at MIT Technology Review’s EmTech conference this week. “We have an ethical imperative to harness AI to protect and preserve over time.”
Horvitz spoke alongside researchers from IBM and Google pondering similar issues. One shared concern was that recent advances are leading companies to put software in positions with very direct control over humans—for example in health care.
Over the last few months I’ve had a series of meetings with Chief Learning Officers, talent management leaders, and vendors of next generation learning tools. My goal has been simple: try to make sense of the new corporate learning landscape, which for want of a better word, we can now call “Digital Learning.” In this article I’d like to share ten things to think about, with the goal of helping L&D professionals, HR leaders, and business leaders understand how the world of corporate learning has changed.
Digital Learning does not mean learning on your phone, it means “bringing learning to where employees are.”
It is a “way of learning” not a “type of learning.”
The traditional LMS is no longer the center of corporate learning, and it’s starting to go away.
What Josh calls a Distributed Learning Platform, I call a Learning Ecosystem:
Also see:
Watch Out, Corporate Learning: Here Comes Disruption — from forbes.com by Josh Bersin Excerpt:
The corporate training market, which is over $130 billion in size, is about to be disrupted. Companies are starting to move away from their Learning Management Systems (LMS), buy all sorts of new tools for digital learning, and rebuild a whole new infrastructure to help employees learn. And the impact of GSuite, Microsoft Teams, Slack, and Workplace by Facebook could be enormous.
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We are living longer, jobs are changing faster than ever, and automation is impinging on our work lives more every day. If we can’t look things up, learn quickly, and find a way to develop new skills at work, most of us would prefer to change jobs, rather than stay in a company that doesn’t let us reinvent ourselves over time.
The Enterprise Gets Smart Companies are starting to leverage artificial intelligence and machine learning technologies to bolster customer experience, improve security and optimize operations.
Excerpt:
Assembling the right talent is another critical component of an AI initiative. While existing enterprise software platforms that add AI capabilities will make the technology accessible to mainstream business users, there will be a need to ramp up expertise in areas like data science, analytics and even nontraditional IT competencies, says Guarini.
“As we start to see the land grab for talent, there are some real gaps in emerging roles, and those that haven’t been as critical in the past,” Guarini says, citing the need for people with expertise in disciplines like philosophy and linguistics, for example. “CIOs need to get in front of what they need in terms of capabilities and, in some cases, identify potential partners.”
Artificial intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the following principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.
Research Issues
1) Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence.
2) Research Funding: Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as:
How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked?
How can we grow our prosperity through automation while maintaining people’s resources and purpose?
How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI?
What set of values should AI be aligned with, and what legal and ethical status should it have?
3) Science-Policy Link: There should be constructive and healthy exchange between AI researchers and policy-makers.
4) Research Culture: A culture of cooperation, trust, and transparency should be fostered among researchers and developers of AI.
5) Race Avoidance: Teams developing AI systems should actively cooperate to avoid corner-cutting on safety standards.
Ethics and Values
6) Safety: AI systems should be safe and secure throughout their operational lifetime, and verifiably so where applicable and feasible.
7) Failure Transparency: If an AI system causes harm, it should be possible to ascertain why.
8) Judicial Transparency: Any involvement by an autonomous system in judicial decision-making should provide a satisfactory explanation auditable by a competent human authority.
9) Responsibility: Designers and builders of advanced AI systems are stakeholders in the moral implications of their use, misuse, and actions, with a responsibility and opportunity to shape those implications.
10) Value Alignment: Highly autonomous AI systems should be designed so that their goals and behaviors can be assured to align with human values throughout their operation.
11) Human Values: AI systems should be designed and operated so as to be compatible with ideals of human dignity, rights, freedoms, and cultural diversity.
12) Personal Privacy: People should have the right to access, manage and control the data they generate, given AI systems’ power to analyze and utilize that data.
13) Liberty and Privacy: The application of AI to personal data must not unreasonably curtail people’s real or perceived liberty.
14) Shared Benefit: AI technologies should benefit and empower as many people as possible.
15) Shared Prosperity: The economic prosperity created by AI should be shared broadly, to benefit all of humanity.
16) Human Control: Humans should choose how and whether to delegate decisions to AI systems, to accomplish human-chosen objectives.
17) Non-subversion: The power conferred by control of highly advanced AI systems should respect and improve, rather than subvert, the social and civic processes on which the health of society depends.
18) AI Arms Race: An arms race in lethal autonomous weapons should be avoided.
Longer-term Issues
19) Capability Caution: There being no consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities.
20) Importance: Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources.
21) Risks: Risks posed by AI systems, especially catastrophic or existential risks, must be subject to planning and mitigation efforts commensurate with their expected impact.
22) Recursive Self-Improvement: AI systems designed to recursively self-improve or self-replicate in a manner that could lead to rapidly increasing quality or quantity must be subject to strict safety and control measures.
23) Common Good: Superintelligence should only be developed in the service of widely shared ethical ideals, and for the benefit of all humanity rather than one state or organization.
Excerpts:
Creating human-level AI: Will it happen, and if so, when and how? What key remaining obstacles can be identified? How can we make future AI systems more robust than today’s, so that they do what we want without crashing, malfunctioning or getting hacked?
Panel with Anca Dragan (Berkeley), Demis Hassabis (DeepMind), Guru Banavar (IBM), Oren Etzioni (Allen Institute), Tom Gruber (Apple), Jürgen Schmidhuber (Swiss AI Lab), Yann LeCun (Facebook/NYU), Yoshua Bengio (Montreal) (video)
Superintelligence: Science or fiction? If human level general AI is developed, then what are likely outcomes? What can we do now to maximize the probability of a positive outcome? (video)
Panel with Bart Selman (Cornell), David Chalmers (NYU), Elon Musk (Tesla, SpaceX), Jaan Tallinn (CSER/FLI), Nick Bostrom (FHI), Ray Kurzweil (Google), Stuart Russell (Berkeley), Sam Harris, Demis Hassabis (DeepMind): If we succeed in building human-level AGI, then what are likely outcomes? What would we like to happen?
Panel with Dario Amodei (OpenAI), Nate Soares (MIRI), Shane Legg (DeepMind), Richard Mallah (FLI), Stefano Ermon (Stanford), Viktoriya Krakovna (DeepMind/FLI): Technical research agenda: What can we do now to maximize the chances of a good outcome? (video)
Law, policy & ethics: How can we update legal systems, international treaties and algorithms to be more fair, ethical and efficient and to keep pace with AI?
From DSC: In the future, will Microsoft — via data supplied by LinkedIn and Lynda.com — use artificial intelligence, big data, and blockchain-related technologies to match employers with employees/freelancers? If so, how would this impact higher education? Badging? Credentialing?
It’s something to put on our radars.
Excerpt:
A sneak peak on Recruitment in AI era
With global talent war at its peak, organisations are now looking at harnessing Artificial Intelligence (AI) capabilities, to use search optimisation tools, data analytics, and talent mapping to reach out to the right talent for crucial job roles. Technology has been revolutionising the way recruitment works with the entire process being now automated with ATS and other talent management softwares. This saves time and costs involved with recruiting for HR managers, whilst allowing them to do away with third-party service providers for talent sourcing such as employment bureaus and traditional recruitment agencies. With modern talent acquisition technology empowered by AI, the time taken for recruitment is halved and search narrowed to reach out to only the best talent that matches job requirements. There is no need for human intervention and manual personality matching to choose the best candidates for suitable job roles.
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Talent mapping, with the help of big data, is definitely the next step in recruitment technology. With talent mapping, recruiters can determine their candidate needs well in advance and develop a strategic plan for hiring long-term. This includes filling any skill gaps, bolstering the team for sudden changes in the workplace, or just simply having suitable talent in mind for the future. All of these, when prepared ahead of time, can save companies the trouble and time in future. Recruiters who are able to understand how AI works, harness the technology to save on time and costs will be rewarded with improved quality of hires, enhanced efficiency, more productive workforce and less turnover.
On the more positive side, AI could take over mundane, repetitive tasks and enable the workers who perform them to take on more interesting and rewarding work. But that will also mean many workers will need to be retrained. If you’re in a business where AI-based automation could be a potentially significant disruptor, then the time to invest in worker training and skill development is now. One could argue that AI will impact just about every industry. For example, in the financial services industry, we have already seen the creation of the robo advisor. While I don’t believe that the robo advisor will fully replace the human financial advisor because of the emotional aspects of investing, I do believe that it will play a part in the relationship with an advisor and his/her client.
Online courses at Harvard University are adapting on the fly to students’ needs.
Officials at the Cambridge, Massachusetts, institution announced a new adaptive learning technology that was recently rolled out in a HarvardX online course. The feature offers tailored course material that directly correlates with student performance while the student is taking the class, as well as tailored assessment algorithms.
HarvardX is an independent university initiative that was launched in parallel with edX, the online learning platform that was created by Harvard and Massachusetts Institute of Technology. Both HarvardX and edX run massive open online courses. The new feature has never before been used in a HarvardX course, and has only been deployed in a small number of edX courses, according to officials.
From DSC: Given the growth of AI, this is certainly radar worthy — something that’s definitely worth pulse-checking to see where opportunities exist to leverage these types of technologies. What we now know of as adaptive learning will likely take an enormous step forward in the next decade.
IBM’s assertion rings in my mind:
I’m cautiously hopeful that these types of technologies can extend beyond K-12 and help us deal with the current need to be lifelong learners, and the need to constantly reinvent ourselves — while providing us with more choice, more control over our learning. I’m hopeful that learners will be able to pursue their passions, and enlist the help of other learners and/or the (human) subject matter experts as needed.
I don’t see these types of technologies replacing any teachers, professors, or trainers. That said, these types of technologies should be able to help do some of the heavy teaching and learning lifting in order to help someone learn about a new topic.
Again, this is one piece of the Learning from the Living [Class] Room that we see developing.
The Mobile Crane Simulator combines an Oculus headset with a modular rig to greatly reduce the cost of training. The system, from Industrial Training International and Serious Labs, Inc, will debut at the ConExpo Event this March in Las Vegas. The designers chose the Oculus for its comfort and portability, but the set-up supports OpenVR, allowing it to potentially also work on the Vive. (The “mobile” in the device’s name refers to a type of crane, rather than to mobile VR.) – ROAD TO VR
The 4 Common Characteristics of Personalized Learning— from thejournal.com by Leila Meyer iNACOL offers ideas for implementing personalized learning in K-12 schools with the support of families and the community.
Excerpt:
According to the report, there are many different approaches to personalized learning, but most of them share these common characteristics:
Student ownership of their learning process;
Focus on the learning process rather than “big end-of-year tests”;
Competency or mastery-based student progression; and
Anytime, anywhere learning.
See also:
From DSC: In the spirit of pulse-checking the landscapes…those of us working in higher education, take heed. These are your future students. What expectations from students might you encounter in the (not-too-distant) future? What are the ramifications for which pedagogies you decide to use?
Further out, for those of you working in the corporate learning & development world or in corporate training/universities, your time may be further out here…but you need to take heed as well. These are your future employees. They will come into your organizations with their expectations for how they prefer to learn and grow. Will you meet them where they are at?
We operate in a continuum…we’d be wise to pulse-check what’s happening in the earlier phases of this continuum.
WHEN education fails to keep pace with technology, the result is inequality. Without the skills to stay useful as innovations arrive, workers suffer—and if enough of them fall behind, society starts to fall apart.That fundamental insight seized reformers in the Industrial Revolution, heralding state-funded universal schooling. Later, automation in factories and offices called forth a surge in college graduates. The combination of education and innovation, spread over decades, led to a remarkable flowering of prosperity.
Today robotics and artificial intelligence call for another education revolution. This time, however, working lives are so lengthy and so fast-changing that simply cramming more schooling in at the start is not enough. People must also be able to acquire new skills throughout their careers.
Unfortunately, as our special report in this issue sets out, the lifelong learning that exists today mainly benefits high achievers—and is therefore more likely to exacerbate inequality than diminish it. If 21st-century economies are not to create a massive underclass, policymakers urgently need to work out how to help all their citizens learn while they earn. So far, their ambition has fallen pitifully short.
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At the same time on-the-job training is shrinking. In America and Britain it has fallen by roughly half in the past two decades. Self-employment is spreading, leaving more people to take responsibility for their own skills. Taking time out later in life to pursue a formal qualification is an option, but it costs money and most colleges are geared towards youngsters.
The classic model of education—a burst at the start and top-ups through company training—is breaking down. One reason is the need for new, and constantly updated, skills.
Lifelong learning is becoming an economic imperative— from economist.com Technological change demands stronger and more continuous connections between education and employment, says Andrew Palmer. The faint outlines of such a system are now emerging
Excerpt:
A college degree at the start of a working career does not answer the need for the continuous acquisition of new skills, especially as career spans are lengthening. Vocational training is good at giving people job-specific skills, but those, too, will need to be updated over and over again during a career lasting decades. “Germany is often lauded for its apprenticeships, but the economy has failed to adapt to the knowledge economy,” says Andreas Schleicher, head of the education directorate of the OECD, a club of mostly rich countries. “Vocational training has a role, but training someone early to do one thing all their lives is not the answer to lifelong learning.”
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To remain competitive, and to give low- and high-skilled workers alike the best chance of success, economies need to offer training and career-focused education throughout people’s working lives. This special report will chart some of the efforts being made to connect education and employment in new ways, both by smoothing entry into the labour force and by enabling people to learn new skills throughout their careers. Many of these initiatives are still embryonic, but they offer a glimpse into the future and a guide to the problems raised by lifelong reskilling.
Individuals, too, increasingly seem to accept the need for continuous rebooting.
From DSC:
First, some items regarding the enormous emphasis being put towards the use of robotics and automation:
$18.867 billion paid to acquire 50 robotics companies in 2016 — from robohub.org by Frank Tobe Excerpt:
2016 was a banner year for acquisitions of companies involved in robotics and automation: 50 sold; 11 for amounts over $500 million; five were over a billion. 30 of the 50 companies disclosed transaction amounts which totaled up to a colossal $18.867 billion! .
2017: The year people are forced to learn new skills… or join the Lost Generation — from enterpriseirregulars.com by Phil Fersht Excerpt (emphasis DSC): Let’s cut to the chase – there have never been times as uncertain as these in the world of business. There is no written rule-book to follow when it comes to career survival. The “Future of Work” is about making ourselves employable in a workforce wherethe priority of business leaders is to invest in automation and digital technology, more than training and developing their own workforces. As our soon-to-be-released State of Operations and Outsourcing 2017 study, conducted in conjunction with KPMG across 454 major enterprise buyers globally, shows a dramatic shift in priorities from senior managers (SVPs and above), where 43% are earmarking significant investment in robotic automation of processes, compared with only 28% placing a similar emphasis on training and change management. In fact, the same number of senior managers are as focused on cognitive computing as their own people… yes, folks, this is the singularity of enterprise operations, where cognitive computing now equals employees’ brains when it comes to investment!
… My deep-seated fear for today’s workforce is that we’re in danger of becoming this “Lost Generation” of workers if we persist in relying on what we already know, versus avoiding learning new skills that business leaders now need. We have to become students again, put our egos aside, and broaden our capabilities to avoid the quicksand of legacy executives no longer worth employing.
Below are some other resources along these lines:
Our Automated Future — from newyorker.com by Elizabeth Kolbert How long will it be before you lose your job to a robot?
From DSC:
Given that these trends continue (i.e., to outsource work to software and to robots), what will the ramifications be for:
Society at large? Will enough people have enough income to purchase the products/services made by the robots and the software?
Will there be major civil unrest / instability? Will crime rates shoot through the roof as peoples’ desperation and frustration escalate?
How we should change our curricula within K-12?
How should we change our curricular within higher education?
How should corporate training & development departments/groups respond to these trends?
Is there some new criteria that we need to use (or increase the usage of) in selecting C-level executives?
People don’t want to hear about it. But if the only thing that the C-level suites out there care about is maximizing profits and minimizing costs — REGARDLESS of what happens to humankind — then we are likely going to be creating a very dangerous future. Capitalism will have gone awry. (By the way, the C-level suite is probably making their decisions based upon how their performance is judged by Wall Street and by shareholders. So I can’t really put all the blame on them. Perhaps the enemy is ourselves…?)
Bottom line: We need to be careful which technologies we implement — and how they are implemented. We need to create a dream in our futures, not a nightmare. We need people at the helms who care about their fellow humankind, and who use the power of these technologies responsibly.
From DSC: When I turned on the TV the other day, our local news station was playing a piece re: the closing of several stores in Michigan, some within our area. Some of the national retail stores/chains mentioned were:
Macy’s
Macy’s closing 100 stores, including 4 in Michigan Excerpt:
Four Macy’s stores in Michigan are permanently closing in a series of company cuts expected to cost 6,200 jobs. Macy’s announced 68 of the 100 stores it plans to shutter Wednesday, according to CNBC. On the list is the Macy’s at Lakeview Square Mall in Battle Creek. CNBC reports the store opened in 1983 and employs 51 associates. Also on the chopping block is the Macy’s in Lansing, Westland and the Eastland Center in Harper Woods. All four Michigan stores are slated to close by the end of 2017.
Sears and Kmart closing 150 stores — from money.cnn.com by Paul La Monica Sears is shutting down 150 more stores, yet another sign of how tough it is for former kings of the retail industry to compete in a world now dominated by Amazon. .
Sears
Internet is the new anchor: Woodland Mall Sears closing Big box and anchor stores a vanishing species in West Michigan Excerpt: Despite the best economy in a decade and a nearly 4 percent increase in consumer spending this holiday, the kind of retailers that used to be the draws for shopping malls and plazas are feeling the continuing impact of the internet. The most notable recent victim of the trend is the Sears that has served as an anchor store at Woodland Mall for decades. “We hear rumors every week about what’s going on, but we don’t want to hear that — we’re working there, we don’t want to hear that kind of thing. We didn’t think that was going to happen to us. We were doing pretty good,” said 52-year-old Marty Kruizenga, who worked at the Sears Automotive at Woodland Mall. He was told Wednesday morning his store was closing. .
The Limited
The Limited just shut all of its stores — from money.cnn.com by Jackie Wattles Excerpt (emphasis DSC): American malls just got emptier. The Limited, a once-popular women’s clothing brand that offers casual attire and workwear, no longer has any storefronts. On Saturday [1/7/17], a message on the store’s website read, “We’re sad to say that all The Limited stores nationwide have officially closed their doors. But this isn’t goodbye.” The website will still be up and running and will continue to ship nationwide, the company said. …
The Limited is among a long list of brick-and-mortar retailers that once thrived in malls and strip shopping centers — but are now suffering at the hands of digital commerce giants like Amazon (AMZN, Tech30) and fast fashion stores such as H&M and Forever 21. .
And another chain that I don’t recall…
Here’s a snapshot I took of the television screen at the end of their piece:
The warnings were there but people didn’t want to address them:
Amazon is taking an increasing share of the US apparel market, according to Morgan Stanley.
Also regarding Amazon, see this interesting prediction from Jack Uldrich:
Are Department Stores Dead? Not yet. But they could kill themselves, under the weight of “we’ve always done it this way”.Tweaks in omni-channel strategy aren’t going to be enough to address the fundamental issues at department stores. Not with the way these trends are heading.
Along the lines of the above items, many of us can remember the Blockbuster stores closing in our areas not that long ago — having been blown out of the water by Netflix.
Although there are several lines of thought that could be pursued here (one of which might be to discuss the loss of jobs, especially to our students, as many of them work within retail)… some of the key questions that come to my mind are:
Could this closing of many brick and mortar-based facilities happen within higher education? .
With the advent of artificial intelligence and cognitive computing, will the innovations that take place on the Internet blow away what’s happening in the face-to-face (F2F) classrooms? As Thomas Frey asserts,by 2030, will the largest company on the internet be an education-based company that we haven’t heard of yet?
(NOTE: “Frey doesn’t go so far as to argue education bots will replace traditional schooling outright. He sees them more as a supplement, perhaps as a kind of tutor.”) .
Or, because people enjoy learning together in a F2F environment, will F2F classrooms augment what they are doing with what’s available online/digitally? .
Will the discussion not revolve around online vs F2F, but rather will the topic at hand be more focused on how innovative/responsive one’s institution is?
(Editor’s Note: Change is difficult. This is especially true in organizations that have heretofore been immune to the broader forces of disruption–such as institutions of higher learning. To shake presidents, administrators, and faculty out of their stupor I have drafted the following fictional press release. I encourage all university and college presidents and their boards to read it and then discuss how they can–and must–adapt in order to remain competitive in the future.)
PRESS RELEASE (Fictional Scenario: For Internal Discussion Only)
(Note: All links in the press release highlight real advances in the field of higher education).
State College to Close at End of 2021-2022 Academic Year
Washington, DC – December 16, 2021 — State College, one of the country’s leading public universities, has decided to cease academic operations at the end of the 2021-22 school year.
Last comment from DSC: I don’t post this to be a fear monger. Rather, I post it to have those of us working with higher education take some time to reflect on this situation — because we need to be far more responsive to change than we are being. Given the increasingly rapid pace of change occurring in our world today, people will have to continue to reinvent themselves. But the difference in the near future will be in the number of times people have to reinvent themselves and how quickly they need to do it. They won’t be able to take 2-4 years off to do it.
Let’s not get blown out of the water by some alternative. Let’s respond while we still have the chance. Let’s be in touch with the changing landscapes and needs out there.
Ominous prediction says JCPenney could close 30% of its stores within 2 years— from businessinsider.com by Hayley Peterson Excerpt:
JCPenney could close up to 30% of its stores, or roughly 300 of its more than 1,000 locations, within the next two years, according to a Cowen & Co. report. The department-store chain has largely avoided mass store closings in recent years, but the rise of e-commerce is now forcing the company to reassess its store base, Cowen & Co. analyst Oliver Chen told Business Insider following a meeting with JCPenney management. .
Colleges need to adapt to meet the changing demographics and needs of students, rather than expect them to conform to a tradition-loving system.
“Unless we become more nimble in our approach and more scalable in our solutions, we will miss out on an opportunity to embrace and serve the majority of students who will need higher education and postsecondary learning,” says the report. Later it underscores that “higher education has never mattered so much to those who seek it. It drives social mobility, energizes our economy, and underpins our democracy.”
WHEN education fails to keep pace with technology, the result is inequality. Without the skills to stay useful as innovations arrive, workers suffer—and if enough of them fall behind, society starts to fall apart. That fundamental insight seized reformers in the Industrial Revolution, heralding state-funded universal schooling. Later, automation in factories and offices called forth a surge in college graduates. The combination of education and innovation, spread over decades, led to a remarkable flowering of prosperity.
Today robotics and artificial intelligence call for another education revolution. This time, however, working lives are so lengthy and so fast-changing that simply cramming more schooling in at the start is not enough. People must also be able to acquire new skills throughout their careers.
CES 2017: Intel’s VR visions — from jwtintelligence.com by Shepherd Laughlin The company showed off advances in volumetric capture, VR live streaming, and “merged reality.”
Excerpt (emphasis DSC):
Live-streaming 360-degree video was another area of focus for Intel. Guests were able to watch a live basketball game being broadcast from Indianapolis, Indiana, choosing from multiple points of view as the action moved up and down the court.Intel “will be among the first technology providers to enable the live sports experience on multiple VR devices,” the company stated.
After taking a 3D scan of the room, Project Alloy can substitute virtual objects where physical objects stand.
From DSC: If viewers of a live basketball game can choose from multiple points of view, why can’t remote learners do this as well with a face-to-face classroom that’s taking place at a university or college? Learning from the Living [Class] Room.
Data visualization, guided work instructions, remote expert — for use in a variety of industries: medical, aviation and aerospace, architecture and AEC, lean manufacturing, engineering, and construction.
The company said that it is teaming up with the likes of Dell, HP, Lenovo and Acer, which will release headsets based on the HoloLens technology. “These new head-mounted displays will be the first consumer offerings utilizing the Mixed Reality capabilities of Windows 10 Creators Update,” a Microsoft spokesperson said. Microsoft’s partner companies for taking the HoloLens technology forward include Dell, HP, Lenovo, Acer, and 3 Glasses. Headsets by these manufacturers will work the same way as the original HoloLens but carry the design and branding of their respective companies. While the HoloLens developer edition costs a whopping $2999 (approximately Rs 2,00,000), the third-party headsets will be priced starting $299 (approximately Rs 20,000).
Verto Studio 3D App Makes 3D Modeling on HoloLens Easy— from winbuzzer.com by Luke Jones The upcoming Verto Studio 3D application allows users to create 3D models and interact with them when wearing HoloLens. It is the first software of its kind for mixed reality.
Excerpt: How is The Immersive Experience Delivered?
Tethered Headset VR – The user can participate in a VR experience by using a computer with a tethered VR headset (also known as a Head Mounted Display – HMD) like Facebook’s Oculus Rift, PlayStation VR, or the HTC Vive. The user has the ability to move freely and interact in the VR environment while using a handheld controller to emulate VR hands. But, the user has a limited area in which to move about because they are tethered to a computer.
Non-Tethered Headset VR/AR – These devices are headsets and computers built into one system, so users are free of any cables limiting their movement. These devices use AR to deliver a 360° immersive experience. Much like with Oculus Rift and Vive, the user would be able to move around in the AR environment as well as interact and manipulate objects. A great example of this headset is Microsoft’s HoloLens, which delivers an AR experience to the user through just a headset.
Mobile Device Inserted into a Headgear – To experience VR, the user inserts their mobile device into a Google Cardboard, Samsung Gear 360°, or any other type of mobile device headgear, along with headphones if they choose. This form of VR doesn’t require the user to be tethered to a computer and most VR experiences can be 360° photos, videos, and interactive scenarios.
Mobile VR – The user can access VR without any type of headgear simply by using a mobile device and headphones (optional). They can still have many of the same experiences that they would through Google Cardboard or any other type of mobile device headgear. Although they don’t get the full immersion that they would with headgear, they would still be able to experience VR. Currently, this version of the VR experience seems to be the most popular because it only requires a mobile device. Apps like Pokémon Go and Snapchat’s animated selfie lens only require a mobile device and have a huge number of users.
Desktop VR – Using just a desktop computer, the user can access 360° photos and videos, as well as other VR and AR experiences, by using the trackpad or computer mouse to move their field of view and become immersed in the VR scenario.
New VR – Non-mobile and non-headset platforms like Leap Motion use depth sensors to create a VR image of one’s hands on a desktop computer; they emulate hand gestures in real time. This technology could be used for anything from teaching assembly in a manufacturing plant to learning a step-by-step process to medical training.
Goggles that are worn, while they are “Oh Myyy” awesome, will not be the final destination of VR/AR. We will want to engage and respond, without wearing a large device over our eyes. Pokémon Go was a good early predictor of how non-goggled experiences will soar.
Education will go virtual
Similar to VR for brand engagement, we’ve seen major potential for delivering hands-on training and distance education in a virtual environment. If VR can take a class on a tour of Mars, the current trickle of educational VR could turn into a flood in 2017.
Published on Dec 26, 2016
Top 10 Virtual Reality Predictions For 2017 In vTime. Its been an amazing year for VR and AR. New VR and AR headsets, ground breaking content and lots more. 2017 promises to be amazing as well. Here’s our top 10 virtual reality predictions for the coming year. Filmed in vTime with vCast. Sorry about the audio quality. We used mics on Rift and Vive which are very good on other platforms. We’ve reported this to vTime.
Addendums
5 top Virtual Reality and Augmented Reality technology trends for 2017— from marxentlabs.com by Joe Bardi Excerpt:
So what’s in store for Virtual Reality and Augmented Reality in 2017? We asked Marxent’s talented team of computer vision experts, 3D artists and engineers to help us suss out what the year ahead will hold. Here are their predictions for the top Virtual Reality and Augmented Reality technology trends for 2017.
Don’t discount the game-changing power of the morphing “TV” when coupled with artificial intelligence (AI), natural language processing (NLP), and blockchain-based technologies!
When I saw the article below, I couldn’t help but wonder what (we currently know of as) “TVs” will morph into and what functionalities they will be able to provide to us in the not-too-distant future…?
For example, the article mentions that Seiki, Westinghouse, and Element will be offering TVs that can not only access Alexa — a personal assistant from Amazon which uses artificial intelligence — but will also be able to provide access to over 7,000 apps and games via the Amazon Fire TV Store.
Some of the questions that come to my mind:
Why can’t there be more educationally-related games and apps available on this type of platform?
Why can’t the results of the assessments taken on these apps get fed into cloud-based learner profiles that capture one’s lifelong learning? (#blockchain)
When will potential employers start asking for access to such web-based learner profiles?
Will tvOS and similar operating systems expand to provide blockchain-based technologies as well as the types of functionality we get from our current set of CMSs/LMSs?
Will this type of setup become a major outlet for competency-based education as well as for corporate training-related programs?
Will augmented reality (AR), virtual reality (VR), and mixed reality (MR) capabilities come with our near future “TVs”?
Will virtual tutoring be one of the available apps/channels?
Will the microphone and the wide angle, HD camera on the “TV” be able to be disconnected from the Internet for security reasons? (i.e., to be sure no hacker is eavesdropping in on their private lives)
The TVs will not only have access to Alexa via a microphone-equipped remote but, more importantly, will have access to the over 7,000 apps and games available on the Amazon Fire TV Store – a huge boon considering that most of these Smart TVs usually include, at max, a few dozen apps.
“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.
EdSurge profiles the growth of massive online open courses in 2016, which attracted more than 58 million students in over 700 colleges and universities last year.
The top three MOOC providers — Coursera, Udacity and EdX — collectively grossed more than $100 million last year, as much of the content provided on these platforms shifted from free to paywall guarded materials.
Many MOOCs have moved to offering credentialing programs or nanodegree offerings to increase their value in industrial marketplaces.
Some conference participants were concerned that this beleaguered region might grow. In fact, one attendee — an old friend who strategizes about technology for a big New York bank — commented that perhaps Wall Street would become “the new Rust Belt.” His concern was that automation of the finance industry would hollow out jobs in that field in the same way that robotics and other technologies have reduced manufacturing employment.
This is a sobering prospect, but there is plenty of evidence that it’s a real possibility. Key aspects of the finance industry have already been automated to a substantial degree. Jobs in the New York finance field have been declining for several years. According to data from research firm Coalition Ltd., more than 10,000 “front-office producer” jobs have been lost within the top 10 banks since 2011. Coalition also suggests that global fixed-income headcount has fallen 31% since 2011.
According to a new report, organizations are moving away from hierarchies, focusing on improving the employee experience, redesigning training, and reinventing the role of HR.
Business and HR leaders should rethink almost all of their management and HR practices as the proliferation of digital technologies transform the way organizations work, according to predictions for 2017 from Bersin by Deloitte, Deloitte Consulting LLP.
This year’s report includes 11 predictions about rapid technological, structural, and cultural changes that will reshape the world of work, including management, HR, and the markets for HR and workplace technology.
Artificial intelligence has a big year ahead — from cnet.com by Stepehn Shankland In 2017, AI won’t just be for the nerdy companies. Machine learning can help with mortgage applications and bridge safety, too.
Excerpt:
Get ready for AI to show up where you’d least expect it.
In 2016, tech companies like Google, Facebook, Apple and Microsoft launched dozens of products and services powered by artificial intelligence. Next year will be all about the rest of the business world embracing AI.
Artificial intelligence is a 60-year-old term, and its promise has long seemed like it was forever over the horizon. But new hardware, software, services and expertise means it’s finally real — even though companies will still need plenty of human brain power to get it working.
AI was one of the hottest trends in tech this year, and it’s only poised to get bigger. You’ve already brushed up against AI: It screens out spam, organizes your digital photos and transcribes your spoken text messages. In 2017, it will spread beyond digital doodads to mainstream businesses.
The design world has seen its own changes and updates as well. And as we know, change is the only constant. We’ve asked some of the top creatives to share what 2017 design trends they think will be headed our way.
SAN JOSE, Calif.–(BUSINESS WIRE)–The market has evolved from technologists looking to learn and understand new big data technologies to customers who want to learn about new projects, new companies and most importantly, how organizations are actually benefitting from the technology. According to John Schroeder, executive chairman and founder of MapR Technologies, Inc., the acceleration in big data deployments has shifted the focus to the value of the data. John has crystallized his view of market trends into these six major predictions for 2017…
2016 was a rich year for medical technology. Virtual Reality. Augmented Reality. Smart algorithms analysing wearable data. Amazing technologies arrived in our lives and on the market almost every day. And it will not stop in the coming year. The role of a futurist is certainly not making bold predictions about the future. No such big bet has taken humanity forward. Instead, our job is constantly analysing the trends shaping the future and trying to build bridges between them and what we have today. Still, people expect me to come up with predictions about medical technologies every year, and thus here they are.
Artificial intelligence (and machine/deep learning) is the hottest trend, eclipsing, but building on, the accumulated hype for the previous “new big thing,” big data. The new catalyst for the data explosion is the Internet of Things, bringing with it new cybersecurity vulnerabilities. The rapid fluctuations in the relative temperature of these trends also create new dislocations and opportunities in the tech job market.
The hottest segment of the hottest trend—artificial intelligence—is the market for chatbots. “The movement towards conversational interfaces will accelerate,” says Stuart Frankel, CEO, Narrative Science. “The recent, combined efforts of a number of innovative tech giants point to a coming year when interacting with technology through conversation becomes the norm. Are conversational interfaces really a big deal? They’re game-changing. Since the advent of computers, we have been forced to speak the language of computers in order to communicate with them and now we’re teaching them to communicate in our language.”
Google changed the world with its PageRank algorithm, creating a new kind of internet search engine that could instantly sift through the world’s online information and, in many cases, show us just what we wanted to see. But that was a long time ago. As the volume of online documents continues to increase, we need still newer ways of finding what we want.
That’s why Google is now running its search engine with help from machine learning, augmenting its predetermined search rules with deep neural networks that can learn to identify the best search results by analyzing vast amounts of existing search data. And it’s not just Google. Microsoft is pushing its Bing search engine in the same direction, and so are others beyond the biggest names in tech.
3 Forces Shaping Ed Tech in 2017— from campustechnology.com by Dian Schaffhauser
Ovum’s latest report examines the key trends that are expected to impact higher education in the new year.
Excerpts:
Institutions Will Support the Use of More Innovative Tech in Teaching and Learning
Schools Will Leverage Technology for Improving the Student Experience
The Next-Generation IT Strategy Will Focus More on IT Agility
We’ve seen a lot of exciting new innovations take place over the course of 2016. This year has introduced interesting new uses for virtual reality—like using VR to help burn victims in hospitals mentally escape from the pain during procedures—and even saw the world’s first revolutionary augmented reality game in the form of Pokémon Go. The iPhone 7 was also introduced, leaving millions of people uncertain of their feelings regarding Apple, while Samsung loyalists just prayed that their smartphones would stay in one piece.
Undoubtedly, there have been quite a few ups and downs in technology over the past year. With any luck, 2017 will provide us with even more new innovations and advancements in tech. But what exactly do we have to look forward to? TMC recently caught up with Jordan Edelson, CEO of Appetizer Mobile, to discuss his thoughts on 2016 and his predictions for what’s to come in the future. You can find the entire exchange below.
2016 is fast drawing to a close. And while many will be glad to see the back of it, for those of us who work and play with Virtual Reality, it has been a most exciting year. By the time the bells ring out signalling the start of a new year, the total number of VR users will exceed 43 million. This is a market on the move, projected to be worth $30bn by 2020. If it’s to meet that valuation, then we believe 2017 will be an incredibly important year in the lifecycle of VR hardware and software development. VR will be enjoyed by an increasingly mainstream audience very soon, and here we take a quick look at some of the trends we expect to develop over the next 12 months for that to happen.
Every December, we take a look back at big ideas from the past twelve months that promise to gain momentum in the new year. With more than eleven thousand projects launched between our Design and Tech categories in 2016, we have a nice sample to draw from. More importantly, we have a community of forward-thinking backers who help creators figure out which versions of the future to pursue. Here are some of the emerging trends we expect to see more of in 2017.
Everyday artificial intelligence
Whether chatting with a device as if it’s a virtual assistant strikes you as a sci-fi dream come true or a dystopian nightmare, we’re going to see an increasing number of products that use voice-controlled artificial intelligence interfaces to fit into users’ lives more seamlessly. Among the projects leading the way in this arena are Vi, wireless earphones that double as a personal trainer; Bonjour, an alarm clock that wakes you up with a personalized daily briefing; and Dashbot, a talking car accessory that recalls Kit, David Hasselhoff’s buddy from Knight Rider. One of the factors driving this talking AI boom is the emergence of platforms like Microsoft’s Cognitive Service, Amazon’s Alexa, and Google’s Speech API, which allow product developers to focus on user experience rather than low-level speech processing. For the DIY set, Seeed’s ReSpeaker offers a turnkey devkit for working with these services, and we’ll surely see more tools for integrating AI voice interfaces into all manner of products.
During Microsoft’s Build Conference earlier this year, CEO Satya Nadella delivered the three-hour keynote address, in which he highlighted his belief that the future of technology lies in human language. In this new wave of technology, conversation is the new interface, and “bots are the new apps.” While not as flashy as virtual reality nor as immediately practical as 3D printing, chatbots are nevertheless gaining major traction this year, with support coming from across the entire tech industry. The big tech enterprises are all entering the chatbot space, and many startups are too.
Out with the apps, in with the chatbots. The reason for the attention is simple: The power of the natural language processor, software that processes and parses human language, creating a simple and universal means of interacting with technology.
Developments in computing are driving the transformation of entire systems of production, management, and governance. In this interview Justine Cassell, Associate Dean, Technology, Strategy and Impact, at the School of Computer Science, Carnegie Mellon University, and co-chair of the Global Future Council on Computing, says we must ensure that these developments benefit all society, not just the wealthy or those participating in the “new economy”.
Artificial Intelligence (AI) is an important development and consumers globally will see it playing a much more prominent role — both in society and at work — next year, a new report said on Tuesday. Ericsson ConsumerLab, in its annual trend report titled “The 10 Hot Consumer Trends for 2017 and beyond”, said that 35 percent of advanced internet users want an AI advisor at work and one in four would like AI as their manager.At the same time, almost half of the respondents were concerned that AI robots will soon make a lot of people lose their jobs.
From driverless cars to robotic workers, the future is going to be here before you know it. Many emerging technologies you hear about today will reach a tipping point by 2025, according to a report from The World Economic Forum’s Global Agenda Council on the Future of Software & Society. The council surveyed more than 800 executives and experts from the technology sector to share their respective timelines for when technologies would become mainstream. From the survey results, the council identified 21 defining moments, all of which they predict will occur by 2030. Here’s a look at the technological shifts you can expect during the next 14 years.
… The first robotic pharmacist will arrive in the US 2021.
A new year is quickly approaching and Microsoft Research is offering a glimpse at what the tech scene has in store for 2017 along with some hints at the Redmond, Wash., tech giant’s own priorities for the coming year. This year, the company gathered prominent women researchers to share their thoughts on what to expect next year. Surprising nobody’s who’s been following Microsoft’s software and cloud computing strategy of late, the company is betting big on artificial intelligence (AI).
It’s still early days for the Internet of Things. As recently as 2014, 87 percent of consumers had never heard of the technology, according to Accenture. In 2016, and 19% of business and government professionals reported that they had never heard of the Internet of Things while 18% were only vaguely familiar with it, according to research from the Internet of Things Institute. Although the technology is getting the most traction in the industrial space, the most promising use cases for the technology are just starting to come to light. To get a sense of what to expect as we head into 2017, we spoke with Stanford lecturer and IoT author Timothy Chou, Ph.D.; Thulium.co CEO Tamara McCleary; industry observer and influencer Evan Kirstel; and Sandy Carter, CEO and founder of Silicon-Blitz.
15 tech trends in autonomous cars, artificial intelligence, and machine learning for 2017 — from venturebeat.com by John Brandon Tech is about to change dramatically next year. Want to stay up to date? These predictions from the famed design firm frog spell things out for you. In each section, a designer explains all of the details. Which one is already on your radar?
From DSC: After seeing the sharp interface out atAdobe (see image below), I’ve often thought that there should exist a similar interface and a similar database for educators, trainers, and learners to use — but the database would address a far greater breadth of topics to teach and/or learn about. You could even select beginner, intermediate, or advanced levels (grade levels might work here as well).
Perhaps this is where artificial intelligence will come in…not sure.
![The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
