Artificial Intelligence/Agents/LLMs/and Related

(Below emphasis via DSC)

IBM and Ricoh have partnered for a cognitive-enabled interactive whiteboard which uses IBM’s Watson intelligence and voice technologies to support voice commands, taking notes and actions and even translating into other languages.

The Intelligent Workplace Solution leverages IBM Watson and Ricoh’s interactive whiteboards to allow to access features via using voice. It makes sure that Watson doesn’t just listen, but is an active meeting participant, using real-time analytics to help guide discussions.

Features of the new cognitive-enabled whiteboard solution include:

Global voice control of meetings: Once a meeting begins, any employee, whether in-person or located remotely in another country, can easily control what’s on the screen, including advancing slides, all through simple voice commands using Watson’s Natural Language API.
Translation of the meeting into another language: The Intelligent Workplace Solution can translate speakers’ words into several other languages and display them on screen or in transcript.
Easy-to-join meetings: With the swipe of a badge the Intelligent Workplace Solution can log attendance and track key agenda items to ensure all key topics are discussed.
Ability to capture side discussions: During a meeting, team members can also hold side conversations that are displayed on the same whiteboard.

From DSC:

Holy smokes!

If you combine the technologies that Ricoh and IBM are using with their new cognitive-enabled interactive whiteboard with what Bluescape is doing — by providing 160 acres of digital workspace that’s used to foster collaboration (and to do so whether you are working remotely or working with others in the same physical space) — and you have one incredibly powerful platform!

“The Enterprise Gets Smart” + AI principles from the 2017 Asilomar Conference

On 03/24/2017, in 21st century, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, business, Canada, career development, change, changing business models, communications, corporate / business world, corporate universities / corporate training, data related items, emerging technologies, ethics, Europe, Facebook / Meta Platforms, future, game-changing environment, global / globalization, Google, human-computer interaction (HCI), IBM, ideas, India, innovation, intelligent systems, leadership, legislatures / government / legal, liberal arts, morals/values, reinvent, research, robotics, science, society, surviving, UK, United States, vendors, vision/possibilities, by Daniel Christian

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.”

Asilomar AI Principles

These principles were developed in conjunction with the 2017 Asilomar conference (videos here), through the process described here.

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?

Talks:
- Demis Hassabis (DeepMind)
- Ray Kurzweil (Google) (video)
- Yann LeCun (Facebook/NYU) (pdf) (video)
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)
- Talks:
  - Shane Legg (DeepMind)
  - Nick Bostrom (Oxford) (pdf) (video)
  - Jaan Tallinn (CSER/FLI) (pdf) (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?
- Talks:
  - Matt Scherer (pdf) (video)
  - Heather Roff-Perkins (Oxford)
- Panel with Martin Rees (CSER/Cambridge), Heather Roff-Perkins, Jason Matheny (IARPA), Steve Goose (HRW), Irakli Beridze (UNICRI), Rao Kambhampati (AAAI, ASU), Anthony Romero (ACLU): Policy & Governance (video)
- Panel with Kate Crawford (Microsoft/MIT), Matt Scherer, Ryan Calo (U. Washington), Kent Walker (Google), Sam Altman (OpenAI): AI & Law (video)
- Panel with Kay Firth-Butterfield (IEEE, Austin-AI), Wendell Wallach (Yale), Francesca Rossi (IBM/Padova), Huw Price (Cambridge, CFI), Margaret Boden (Sussex): AI & Ethics (video)

Expect voice, VR and AR to dominate UX design [Forbes Technology Council]

On 03/20/2017, in Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), design, human-computer interaction (HCI), ideas, innovation, interactivity, interface design, user experience (UX), Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, by Daniel Christian

Expect voice, VR and AR to dominate UX design — from forbes.com by the Forbes Technology Council

Excerpt:

User interfaces have come a long way since the design of typewriters to prevent people from typing too quickly and then jamming the device. Current technology has users viewing monitors and wiggling mouse, or tapping on small touchscreens to activate commands or to interact with a virtual keyboard. But is this the best method of interaction?

Designers are asking themselves if it [is] better to talk to a mobile device to get information, or should a wearable vibrate and then feed information into an augmented reality display. Is having an artificial intelligence modify an interface on the fly, depending on how a user interacts, the best course of action for applications or websites? And how human should the AIs’ interaction be with users?

Eleven experts on the Forbes Technology Council offer their predictions on how UX design will be changing in the next few years. Here’s what they have to say…

A smorgasboard of ideas to put on your organization’s radar! [Christian]

On 03/15/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, adult learning, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), Blockchain, bots, business side of he, career development, change, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, communications, community colleges, computer science, content development, aggregation, repositories, credentialing, Daniel S. Christian, digital learning, disruption, education, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), IBM, ideas, immersion, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, internet, K-12 related, learning, learning ecosystem, Learning from the Living [Class] Room, learning spaces, lifelong learning, machine-to-machine communications, Microsoft, Mixed Reality (MR), MOOCs -- Massive Open Online Courses, Natural Language Processing (NLP), Near Field Communication (NFC), online learning, online tutoring, pace of change, personalized/customized learning, platforms, reinvent, robotics, RSS, social learning / networks, society, staying relevant, strategy, streams of content, student-related, surviving, teaching & learning, technologies for your home, technology (general), tools, trends, universities, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

From DSC:
At the Next Generation Learning Spaces Conference, held recently in San Diego, CA, I moderated a panel discussion re: AR, VR, and MR. I started off our panel discussion with some introductory ideas and remarks — meant to make sure that numerous ideas were on the radars at attendees’ organizations. Then Vinay and Carrie did a super job of addressing several topics and questions (Mary was unable to make it that day, as she got stuck in the UK due to transportation-related issues).

That said, I didn’t get a chance to finish the second part of the presentation which I’ve listed below in both 4:3 and 16:9 formats. So I made a recording of these ideas, and I’m relaying it to you in the hopes that it can help you and your organization.

Presentations/recordings:

Audio/video recording (187 MB MP4 file)

Again, I hope you find this information helpful.

Thanks,
Daniel

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.
…
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.

Chatbots — are they on your radar?

On 03/07/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communications, community colleges, Daniel S. Christian, emerging technologies, experimentation, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, interactivity, productivity / tips and tricks, universities, by Daniel Christian

From DSC:
Chatbots were another one of the topics I mentioned at the Next Generation Learning Spaces Conference last week. For those of us working within higher education, chatbots need to be on our radars!

An article from today on this:

Using AI Chatbots to Freeze ‘Summer Melt’ in Higher Ed — from campustechnology.com by Sri Ravipati
Excerpt:
Students who accept offers of admission into a college or university don’t always show up for fall enrollment — a phenomenon known as “summer melt.” It’s a problem that Georgia State University (GSU) is all too familiar with: The institution’s summer melt rates have increased from 12 percent to nearly 19 percent in recent years. With traditional methods of reaching students (i.e. snail mail, e-mail and phone calls) producing feeble results, GSU decided to try another approach: smart text messaging.

According to a recent case study, GSU was well aware of the advantages of communicating with students via text messages, but was concerned about the additional workload that text messaging students would place on existing staff. So, the university partnered with AdmitHub, a Boston-based ed tech startup, to test out text-based intervention. AdmitHub works with higher ed institutions to create a virtual “campus coach” that embodies the collective knowledge and unique spirit of a school’s community. It integrates conversational artificial intelligence (AI) with human expertise to guide students to and through college.

One of the slides from my presentation on this:

Summer 2017 Human++ — fromcambridge.nuvustudio.com
Human-Machine Intelligence, Hacking Drones, Bio Fashion, Augmented Video Games, Aerial Filmmaking, Smart Tools, Soft Robotics and more!

Excerpt:

NuVu is a place where young students grow their spirit of innovation. They use their curiosity and creativity to explore new ideas, and make their concepts come to life through our design process. Our model is based on the architecture studio model, and every Summer we use imaginative themes to frame two-week long Studios in which students dive into hands-on design, engineering, science, technology, art and more!

Will #blockchain technologies create a situation where colleges/U’s are only 1 source of credentials for a learner’s cloud-based, lifelong learning profile? [Christian]

On 03/04/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, career development, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, Daniel S. Christian, data related items, emerging technologies, experimentation, higher education, ideas, innovation, learner profiles, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Microsoft, MOOCs -- Massive Open Online Courses, traditional / tradition, training / L&D, trends, universities, vendors, workplace, by Daniel Christian

From DSC:
At the recent Next Generation Learning Spaces Conference, in my introductory piece for our panel discussion, I relayed several ideas/areas that should be on our institutions’ radars. That is, at least someone at each of our institutions of higher education should be aware of these things and be pulse-checking them as time goes by.

One of these ideas/areas involved the use of blockchain technologies:

If #blockchain technologies are successful within the financial/banking world, then it’s highly likely that other use cases will be developed as well (i.e., the trust in blockchain-enabled applications will be there already).

Along those lines, if that occurs, then colleges and universities are likely to become only 1 of the feeds into someone’s cloud-based, lifelong learning profile. I’ve listed several more sources of credentials below:

Given the trend towards more competency-based education (CBE) and the increased experimentation with badges, blockchain could increasingly move onto the scene.

In fact, I could see a day when an individual learner will be able to establish who can and can’t access their learner profile, and who can and can’t feed information and updates into it.

Artificial intelligence and big data also come to mind here…and I put Microsoft on my radar a while back in this regard; as Microsoft (via LinkedIn and Lynda.com) could easily create online-based marketplaces matching employers with employees/freelancers.

Along these lines, see:

The Mainstreaming of Alternative Credentials in Postsecondary Education — from by Deborah Keyek-Franssen
Excerpt:
- The Context of Alternative Credentials
  The past few years have seen a proliferation of new learning credentials ranging from badges and bootcamp certifications to micro-degrees and MOOC certificates. Although alternative credentials have been part of the fabric of postsecondary education and professional development for decades—think prior learning assessments like Advanced Placement or International Baccalaureate exams, or industry certifications—postsecondary institutions are increasingly unbundling their degrees and validating smaller chunks of skills and learning to provide workplace value to traditional and non-traditional students alike.Many are experimenting with alternative credentials to counter the typical binary nature of a degree. Certifications of learning or skills are conferred after the completion of a course or a few short courses in a related field. Students do not have to wait until all requirements for a degree are met before receiving a certificate of learning, but instead can receive one after a much shorter period of study. “Stackable” credentials are combined to be the equivalent of an undergraduate or graduate certificate (a micro-degree), or even a degree.
- The National Discussion of Alternative Credentials
  Discussions of alternative credentials are often responses to a persistent and growing critique of traditional higher educational institutions’ ability to meet workforce needs, especially because the cost to students for a four-year degree has grown dramatically over the past several decades. The increasing attention paid to alternative credentials brings to the fore questions such as what constitutes a postsecondary education, what role universities in particular should play vis-à-vis workforce development, and how we can assess learning and mastery.

Addendums added on 3/4/17, that show that this topic isn’t just for higher education, but could involve K-12 as well:

Growth of AI Means We Need To Retrain Workers… Now [Wibberley]

On 03/03/2017, in Artificial Intelligence/Agents/LLMs/and Related, business, career development, corporate / business world, corporate universities / corporate training, disruption, reinvent, robotics, society, staying relevant, surviving, trends, Uncategorized, workplace, by Daniel Christian

Growth of AI Means We Need To Retrain Workers… Now — from forbes.com by Ryan Wibberley

Excerpt:

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.

Reflections on “HarvardX rolls out new adaptive learning feature in online course” [Lestch]

On 02/22/2017, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, attention, change, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, community colleges, computer science, corporate / business world, corporate universities / corporate training, Daniel S. Christian, data related items, distance education, education, education reform, education technology, elearning, emerging technologies, engagement / engaging students, future, future of higher education, game-changing environment, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, lifelong learning, microlearning, MOOCs -- Massive Open Online Courses, more voice more choice more control, online learning, online tutoring, passions, pedagogy, personalized/customized learning, platforms, teachers, teaching & learning, training / L&D, United States, by Daniel Christian

HarvardX rolls out new adaptive learning feature in online course — from edscoop.com by Corinne Lestch
Students in MOOC adaptive learning experiment scored nearly 20 percent better than students using more traditional learning approaches.

Excerpt:

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.

It’s Here! Get the 2017 NMC Horizon Report

Earlier this week, the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI) jointly released the NMC Horizon Report > 2017 Higher Education Edition at the 2017 ELI Annual Meeting. This 14th edition describes annual findings from the NMC Horizon Project, an ongoing research project designed to identify and describe emerging technologies likely to have an impact on learning, teaching, and creative inquiry in higher education. Six key trends, six significant challenges, and six important developments in educational technology are placed directly in the context of their likely impact on the core missions of universities and colleges.

The topics are summarized in the infographic below:

KPMG & Microsoft Announce New “Blockchain Nodes” — from finance.yahoo.com

Excerpt:

NEW YORK, Feb. 15, 2017 /PRNewswire/ — KPMG International and Microsoft Corp. have announced the launch of joint Blockchain Nodes, which are designed to create and demonstrate use cases that apply blockchain technology to business propositions and processes. The first joint Blockchain Nodes are in Frankfurt and Singapore, with future plans for a location in New York.

The KPMG and Microsoft Blockchain Nodes –innovation workspaces– will expand on a global alliance, which combines Microsoft’s technical expertise with KPMG’s deep industry and blockchain application knowledge, together with strong connections to the start-up and developer communities.

“The Blockchain Nodes will play a critical role in identifying new applications and use cases that blockchain can address,” said Eamonn Maguire, global and US leader for KPMG’s Digital Ledger Services. “They will enable us to work directly with clients to discover and test ideas based on market insights, creating and implementing prototype solutions that use this innovative technology.”

IBM Brings Machine Learning to the Private Cloud — from finance.yahoo.com
First to automate creation and training of learning analytic models at the source of high value corporate data, starting with IBM z System Mainframe

Excerpt:

ARMONK, N.Y., Feb. 15, 2017 /PRNewswire/ — IBM (NYSE: IBM) today announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores. Even using the most advanced techniques, data scientists – in shortest supply among today’s IT skills1 – might spend days or weeks developing, testing and retooling even a single analytic model one step at a time.

IBM has extracted the core machine learning technology from IBM Watson and will initially make it available where much of the world’s enterprise data resides: the z System mainframe, the operational core of global organizations where billions of daily transactions are processed by banks, retailers, insurers, transportation firms and governments.

IBM Machine Learning allows data scientists to automate the creation, training and deployment of operational analytic models that will support…

Amazon Echo and Google Home may soon be able to make voice calls — from financye.yahoo.com and Business Insider by Jeff Dunn

Excerpt:

The Amazon Echo and Google Home could be used to make and receive phone calls later this year, according to a new report from The Wall Street Journal’s Ryan Knutson and Laura Stevens. Citing “people familiar with the matter,” the report says that both Amazon and Google are looking to activate the feature, but that their attempts have been slowed by privacy and regulatory concerns. Amazon has reportedly been working on Echo-specific voice calls since 2015, but has been held up by “employee turnover” as well.

Amazon unveils Chime, looks to reinvent the conference call with new Skype and GoToMeeting competitor — from geekwire.com by John Cook

Excerpt:

Amazon is looking to transform just about every industry.

Now, the Seattle tech juggernaut wants to reinvent how you conduct meetings and conference calls.

Amazon Web Services today unveiled Chime, a new service that it says takes the “frustration out of meetings” by delivering video, voice, chat, and screen sharing. Instead of forcing participants to call one another on a dedicated line, Amazon Chime automatically calls all participants at the start of a meeting, so “joining a meeting is as easy as clicking a button in the app, no PIN required,” the company said in a press release. Chime also shows a visual roster of participants, and allows participants to pinpoint who exactly on the call is creating annoying background noise.

Categories

Tags