AI Social and Contextual UC #422 – Google Fake AI Videoconferencing – Blueprint for Tech Univ


 (c) AI Forum & Unified Communications 
November 3 – 2017 – Issue #422

AI Forum – Exploring the Wild World of Artificial Intelligence and other Communications, Mobile, Contextual-Intelligence and other communications companies.
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#HashNewsGram is a FREE Twitter #hashtag news gathering app for iPhone and iPad.

You can select your favorite #hashtag topics and put them in folders and subfolders and organize your Twitter news gathering and personal newsfeed. Then tap on the selected folder subfolder and see the posts in the categories selected. This is a great way to simplify your Twitter news feed.


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Welcome to the SIP, UC Apps & Cloud Communications Forum
@Techtionary Twitter account topped 17,400+ followers up 200 followers this week and if you are on Twitter, please follow and we will follow you back. I also do @telecomreseller (10,600 followers), @whatstadoing (4,518 followers) and many others have proven results in gaining-retaining Twitter and other social media followers – click here.


In working with more than a dozen companies over the past two decades many struggled with designing and building a corporate university for both internal and external students.  Among the many factors limiting the implementation of such corporate educational programs is that many had people who knew public or even traditional university programs often lacked the skills for a corporate university.
First, they had very limited knowledge of what channel partners need much less the ability to design and deliver courses these partners would attend.
Second, they focused the learning on what the company knew not what the prospective and potential partners needed to manage complex projects.
Third, they delivered the programs via means that the did not meet partners learning situations.  In other words, they build traditional education delivery rather than smartphone and virtual training delivery.  Here is the culmination of all the work but importantly, this is just one approach, there are also many others.
Here is just some of the research completed:
  • Research into more than a 10 strategic plans for corporate universities and others
  • Reviewed corporate and mobile websites and systems such as smartphone apps
  • Reviewed industry standards associations and certifications
  • Interviewed potential channel partners
  • Completed more than 100 hours in research, development and preparation of this presentation
Here is the phased approach required to build a corporate university
  • Phase 1 – Assessment Research
  • Phase 2 – Design
  • Phase 3 – Development
  • Phase 4 – Delivery
  • Phase 5 – Global Implementation
  • Phase 6 – Future Directions
Here are the details for each phase:
Phase 1 – Assessment – Overview
In this phase, exploratory research needs to be completed to determine what is really needed including a “gap” analysis.
  • Based on management direction
  • Conduct 5-10 personal indepth interviews with current and prospective channel partners and determine, among other things:
    • What do they know now
    • What they like and why
    • What they don’t know and what areas they need help on or are confused by
    • What they would like to know on any topic (like internet, wireless, network services, technology and other topics)
    • Other topics business, technology and management
  • Corporate staff
  • Channel existing and potential partners/developers
  • Customers, industry experts and others
  • Research industry “best practices”
  • Research/gather competitive analysis
  • Review and integrate with Corporate values and strategic goals-values
  • Review existing knowledge sources
  • Develop budget
  • Write report
  • Present findings to leadership
Phase 2 – Design
There may or may not be enough to begin program design, however, with any agile process, beginning now get results faster.
  • Based on guidance from Phase 1
  • Design certification curriculum plan for:
    • Corporate staff & leadership
    • Channel partners including suppliers
    • Customers
  • Evaluate metrics, cost and ROI
  • Review options with:
  • LCMS-Learning Content Management System
  • TMS-Talent Management System
  • Evaluate industry standards and directions
  • Integrate and align with Corporate Corporate “Core Values” and strategic goals
  • Develop current year budget for development, delivery, etc.
  • Time and if desired, design five-year plan
  • Present “Best Practices” for current year and five-year plan to leadership
Phase 3 – Development
In building more than 100 courses including many on agile development, development always takes longer than you think.
  • Based on inputs/outputs from Design Phase 2
  • Evaluate
  • Insource
  • Outsource
  • Packaged off-the-shelf source
  • Build learning matrix of delivery options – video – live and via tele/presence, web, mobile, instructor-led, virtual, hands-on, simulation, expert system, other
  • Integrated with internal business processes and consider ISO9003
  • Determine external governance, regulatory and compliance requirements
  • Evaluate timelines and constraints
  • Formalize plan update budget for Delivery
  • Present to leadership and socialize
Phase 3A – Development of Online Courses/Certification
In a rapidly changing marketplace, few can attend onsite much even live virtual classes.  This really means start with online first and then build backwards.
  • Online Certification
  • Each Level with added incentives
  • Online Tutorials
  • Online Webinars
  • Value Proposition
  • Customer Solutions-Applications
  • Portals
  • “Best Practices”
  • Online Sales Solutions
  • Online Customer Case Studies
  • Weekly Newsletter – Blog-Twitter-FB-LinkedIn
  • Online white papers
  • Build mobile access to content
  • Connect with onsite training for group classes
  • Build glossary/FAQs
Here is an example of a completed curriculum:
Phase 4 – Delivery
The adage few ever want to go to training.  Pilot and pilot again until they can’t get enough.
  • After course content is developed, an initial pilot of each course is delivered and evaluated
  • Courses are monitored (in-class and by evaluation form) and reviewed on:
  • Evaluate user acceptance
  • Integration with business processes
  • ROI-Return On Investment
  • Metrics including budget
  • Other issues
  • Incorporate input, changes and recommendations
  • Schedule for further delivery
Phase 5 – Global Implementation
From the start look at where you are going and be ready for multi-national and multi-language deployments.
  • Plan national/global pilot
  • After pilot, evaluation of training on users is completed based on performance, integration, business process and other issues
  • If approved, then build delivery master schedule along with:
  • Monitoring and evaluation techniques
  • ROI, metrics, user acceptance
  • Review and present findings to leadership
Phase 6 – Future Directions
Always be looking five-years or further ahead as that is what the company product team should be working on.  Indeed, technology always changes faster than we predict though customer acceptance lacks almost as much.  That is not to say they are not ready for or wanting your solutions.  However, they are often working on other ideas they also want and corporate budget cycles generally are 2-3 behind any rollout.  In addition, global deployment is generally 1-2 years behind as well.
  • Prior to and part of course evaluation is the ongoing development of a long-range strategic plan which would include:
  • Integration with current and future business processes
  • Leadership and business strategy
  • Review of emerging learning techniques including modeling, e-learning and simulation to augment existing training methods and enhance the training experience
  • Optimize potential for personal learning development and long-term career path options
  • Continuous evaluation of ROI, metrics, user needs and direction from leadership
  • Maintenance of long-range strategic plan
  • Review and present to leadership


Educational pedagogy is a complex and ever-changing process.  I use a quote from Winston Churchill to reflect what most students agree with.  He said, “I am always ready to learn, though don’t always like being taught.”
Click on any image for complete presentation.

Google Fake News – AI Video Conferencing

There is so much fake #AI news it begs the question – what is real or not #AI ?Engadget wrote, “Google’s new Hangouts Meet kit essentially packages the ASUS Chromebox hub, a 4K-sensor camera (with added AI wizardry), a mic and a touchscreen display.”  Yet there was no explanation of what this “AI wizardry” was.  Seriously when will all this stop.

Bottom-line – What they should be doing is merge their room tech with what they are doing with Google Maps which is frankly very exciting.  In all the smashup of technology there is a lot of AI that can be used in a room or huddle video conferencing system.

The Importance of SS7 to SIP Interoperability

The really sad part of the Bell System was its insistence on a closed architecture.  Now that approach would certainly be appreciated in today’s totally cyberhacked world where there is nothing that won’t be hacked for any kind of reason.  SS7 is an elegant and sophisticated protocol which allows you to go anywhere in the world and still have an incredible array of cloud services available to you.  However, our world suffers because we think we need an open interconnection of networks (internet) would solve all our problems.  Alas, it hasn’t and may eventually implode due to the weight of security issues. Building a bridge between these two worlds is also a challenge in that there are other systems such as WhatsApp and many others including my own chat systems that provide many new features not found in traditional UC message.  Toward that end of building a bridge, Jim Machi of Dialogic wrote a really great paper on SS7/SIP integration.  The paper is good because it is not just sales literature but a good discussion of SS7 and SIP technologies.
According to Dialogic, “SS7 is well defined and SIP has solidified around a core set of requirements. In fact, the original definition of SS7-to-SIP interworking from the Internet Engineering Task Force (IETF), RFC 3398, still applies today. RFC 3398 identifies how SS7-to-SIP interworking should be implemented, by mapping ISUP messages to SIP messages.
When mapping an SS7-based call to a SIP endpoint, much of the original ISUP signaling information is lost in the process, but this is more a reflection of the limitation of SIP headers than a limitation in RFC 3398 itself. In the case of SIP-originated calls to an SS7-based endpoint, RFC 3398 also addresses how SIP Invites should be mapped to an ISUP set-up message, known as an Initial Address Message (IAM).”  If you really know about how SIP and SS7 work together you will find this a great analysis.
Bottom-line – Making SIP more viable requires SS7 integration which actually leads to great UC app solutions.

HoloLens New HeadsUp Displays

Really exciting improvements in HoloLens devices though many still too large for practical use.  They say, “Set-up and get started in 10 minutes. Inside-out tracking is built right into each headset – no external set-up required. Experience new worlds at home or anywhere you want. Wherever your devices go, Windows Mixed Reality follows.” I would have built a “glasses” size version along with these industrial size versions.
Bottom-line – Visualizing anything makes management better especially seeing and sharing with others.  That is, collaboration is the key to Hololens success not just gaming.

Tech Team Board – Skype for Business Integration

I saw this board approach while doing research into MS Teams.  According to KanBo (click on image for website), “it provides deep and powerful functionality but with a user experience that is beautiful in its simplicity. You and your team enjoy a host of features and each member can learn to use the KanBo way of working quickly. The KanBo Board consist of Lists where you create cards that will be moved from list to list when tasks are processed. Lists are used to create and monitor (task) workflows but can also be used as containers to store ideas and information within a context.”
Content, context and conversations in one place. Whether you’re completing a project or closing a sales lead – getting everything related to the job on one page, instantly makes collaboration easier. Attach files, view the status and add comments – everything’s updated in real time. Use activity streams to work out loud, follow only these contexts you are interested in, use file-sharing and tasks to collaborate across your business. Ultimately watch this real-time in-context-communication make email a thing of the past.  Whenever a user is displayed in KanBo you can see his/her presence information (Available, In a meeting, Away, etc. ) based on his Skype for Business status. Of course you are able to start a private chat or a video-call right from the KanBo card. You can even see when this person is available based on his Outlook calendar.
Bottom-line – Visualizing anything makes management better especially project management which has suffered for so long with MS Project – nice idea bad execution.  Adoption is another matter.

Smart Soldiers – Smart Sales Things

In my never-ending battle for less BS about AI and more real understanding of the sales process.  I smashed these two articles together to show how little we know about smart soldiers and smart sales.  First, Benioff the lord of SalesForce says this in an article (click on image for article but do not waste time reading it – it’s far too long and too full of annoying popup ads), From Fortune magazine, “Similarly, Benioff explains the company’s move into artificial intelligence as his realization that “a lot was happening in A.I. But I also realized it wasn’t clear what Salesforce’s role in A.I. was. That’s when we started acquiring quite a few artificial intelligence companies, maybe a dozen.” That’s also when, according to Benioff, the owner of the website contacted him out of the blue and offered to sell it. To Benioff, it was a sign. “Right then I’ll always say to myself, ‘Why is somebody doing that?’ And then I’ll have an intuitive response, This could be our AI brand.” Today, Einstein is the Salesforce-branded product that’s integrating machine learning and other A.I.-related technologies into the rest of the company’s offerings.”  Clearly, he as they say is “grasping for straws” in any attempt to show investors that SalesForce is more than a simple CRM.
If Benioff was less on promoting SalesForce and more on AI he would be looking at what DARPA is going.  Before being vocalized, speech exists as word-specific neural signals in the mind. Darpa wants to develop technology that would detect these signals of “pre-speech,” analyze them, and then transmit the statement to an intended interlocutor. Darpa plans to use EEG to read the brain waves. It’s a technique they’re also testing in a project to devise mind-reading binoculars that alert soldiers to threats faster the conscious mind can process them.  The project has three major goals, according to Darpa. Click on image of the soldier for complete article.  First, try to map a person’s EEG patterns to his or her individual words. Second, see if those patterns are generalizable – if everyone has similar patterns. Third, “construct a fieldable pre-prototype that would decode the signal and transmit over a limited range.”  Sadly, the soldiers killed recently in Niger were told that there was “no hostiles expected.”
The same applies in sales — you will never know who is the real-decision-maker and the real enemy.
Bottom-line – What we really need is not more machine learning but an entirely new approach to ergonomics (human-machine interface) in designing and using knowledge. A flexible approach to understanding the needs and desires of the changing user is demanded. Software must be able to learn and adapt to the user, rather than the user learn and adapt to vague, uncertain, and complex command key sequences.  In sales and soldiering knowing that the person facing you is not the real decision-maker or the real enemy as many others are likely involved in your “death of a salesman” or soldier.

TECHtionary Named Finalist IQ Awards HashNewGrams



Click on IQ image for details.

This free app is only available on the App Store for iOS devices.
Approved today is version 2.8 of HashNewsGrams which further expands features with a Twitter post Library and Log. You can post and save all Twitter posts to the Library each time you post. You can either Tweet or Tweet and Save each posts. Then you can easily repost each Twitter post or edit and then post them.
 The real key to HashNewsgrams is the multi-media features which allow you to post an essentially unlimited amount of text far beyond the 140 or 280 characters now available. You can add up to 4 images as you can with Twitter but also add a video, a custom free hand drawing, audio recording or Acticon(tm) which are “action-icons” to add emphasis to your Twitter posts. Background – Never get stuck at 140 or 280 or … characters again! HashNewsGram 2.5 breaks the Twitter 140 or 280 character limitation barrier. You can post essentially unlimited text, videos, pics, audio recordings including pre-recorded music and audio from the HashNewsGram library, created freehand paintings or drawings using the drawing features and library, multimedia images called Acticons-Action Icons. #HashNewsGram is a FREE Twitter #hashtag news gathering app for iPhone and iPad. You can select your favorite #hashtag topics and put them in folders and subfolders and organize your Twitter news gathering and personal newsfeed. Then tap on the selected folder subfolder and see the posts in the categories selected. This is a great way to simplify your Twitter news feed. HashNewsGram is one of the many apps such as ZoomLite, Basketball Fans, ReallyReal, Sports Fans Club, Football Fans Club, iSeekSugar, BiEyes, iFlipTips, SleepTracs, iSeekSugar, MedsMinders, BaseballFansClub, RewardsVIPClub, and others from TECHtionary.

Microsoft Teams Gluon Neural Net with Amazon 

Another deep learning attempt between two major “competitors” was revealed.  Notwithstanding yet another developers “honey pot” for pseudo AI, you wonder who is really going to provide the “deep learning” between Amazon and Microsoft.

 From GeekWire, comes this “Deep learning involves training a computer to recognize patterns or unlock insights based on a set of rules for parsing a massive pool of data. As you might expect, this is an extremely complicated and time-consuming process that requires a fair amount of skill. Cloud companies offer ways to speed up the process, but a fair amount of skill is required to get meaningful results.”  Click on the image for complete article.

It is hard to say that they are using the same platform Gluon to work together or what they are telling each other the goal will be.  I would have been more excited if there was a more specific goal focused on an vertical issue or use case or global issue.  Here are a few thoughts on what they should be done such as focus on reasoning.

Reasoning, in essence, discourages openness, surprise, or ambiguity. It is a process, mental or mechanical, that works through a series of pieces of evidence to new data until the problem is solved. In certain circumstances, reasoning is a process set against time: All answers are known; it is just that time eludes them. Reasoning is also a natural language issue because language is often the means on which the evidence is built. In the field of learning languages, the building process is often a history of ideas gathered together into stories. These stories are told in order to pass on information or reasoning processes. In stories, as in reasoning processes, clues are included or omitted to frustrate the process.

Neural Networks
From the press release, click on image, “With the Gluon interface, developers can build machine learning models using a simple Python API and a range of pre-built, optimized neural network components. This makes it easier for developers of all skill levels to build neural networks using simple, concise code, without sacrificing performance. AWS and Microsoft published Gluon’s reference specification so other deep learning engines can be integrated with the interface.”   This is a lot of techno-babble saying they have no idea what they are doing or predict any results, if any.
What a Neural Network
The term neural networks, as proliferated by AI researchers, explains how the networks of the brain work together to allow thinking to take place. Examinations of people with low intelligence versus those with high intelligence do not biologically demonstrate any clear neurological distinction. Perhaps at some point, intelligence in humans might effectively be understood, and the development of machine intelligence might be a requirement for this understanding. The development of machine-based neural networks might also give rise to a greater understanding of human thinking processes.
To simplify the process look at the Figure which shows the following a library of books with hyperlinks or crosspoint between ideas, text, images and other content.
First, a cross/point (intersection point) is composed of different types of information, including text, graphics, or data.
Second, each grid of different types of information can be changed as necessary. Additions, deletions, and modifications can be easily incorporated into the cross/point grid.
Third, each grid of information can be expanded “to the nth degree.” The structure of the cross/point is n-dimensional. Its boundaries can be expanded.
Fourth, a cross/point idea network allows for n-dimensional linking by connecting any number of nodes together at any point, top-bottom and/or side-to-side.
Fifth, a cross/point can be represented in a simple expression.
Structurally, administration can be viewed as a configuration of thought patterns that relate individuals and collectives of varying sizes, shapes, and degrees of understanding, cohesion, and stability. Dynamically, administration appears as a patterned swirl and flow of ideas. Many of them channel through transactional circuits between persons and persons, persons and groups, and groups and other groups. For our purposes, communication patterns and flows are particularly important. Patterns relate communication to organization, and flow relates communication to decision-making. Thus, the concepts networking, thought processing, and decision making are inexorably interwoven.
In other words, this it is the same image from three different angles just like the way three different people would look at the same problem each from their own perspective.
Bottom-line – Really don’t expect anything because in reality, Amazon and Microsoft both want world domination.  However, neural networks do offer the means to bridge the man-machine interface, however, more “code” won’t help you solve what you want for lunch.

Not a Headset but an AI Personal Assistant  

In case you think Apple is asleep at the enterprise wheel, here is an exciting solution for any desktop phone, contact center agent, mobile/car route sales person or even factory floor.  Check out these specs to impress anyone –

Beats Solo3 Wireless delivers up to 40 hours of battery life driven by the efficiency of the Apple W1 chip. Or, with Fast Fuel, a quick 5-minute charge provides 3 hours of playback to quickly get you back on track. Integrated on-ear controls, coupled with dual beam-forming mics, allow you to take calls, play music, adjust volume and activate Siri while on the go.  Click on image for more.
In other words, you can integrate voice recognition into your voice conversation and then even add an app for that to listen and guide agents or sales or even the CEO in their conversation. Also, reports from users also said it has good noise cancellation. And, at $299 quite a bargain.
Bottom-line – Deskphones only have one ear speaker, Beats has two speakers, people have two ears, you can decide which one is better.

Google Carpet Bombs AI – American Fear AI 

Google, Amazon, Apple and others are all “carpet bombing” their funny little boxes in order to capture customer mind share.  This is a long video but the first few minutes will give you a good idea of what is really going on.

If you need more ammo on what Americans really think there is a new Pew Research report that says “Americans are rather worried that computer (AI) algorithms will replace humans in choosing job candidates-even though researchers have shown clearly that algorithms do a better job than humans at choosing job candidates. Americans fear losing control if they’re forced to ride in autonomous vehicles. These same Americans fly in airplanes every day that largely are flown by computers, and impressively efficient ones at that.

Fretful respondents are unsurprisingly willing to engage in cognitive dissonance about coming automation. While 77% of Americans think robots will take over many jobs in coming decades, just 30% think robots will replace their jobs. That reminds me off all the old surveys about Americans thinking Congress was filled with a bunch of bums-but not their representatives.”
Bottom-line – Yes AI will replace many things, even more things you can’t understand or don’t need but AI is just another machine and machines break, get hacked, solve old problems not new ones and can’t really think about solving complex problems.