Cooking Wars: Popularizing the HoloLens before it’s Released.

An aspiring Chief or Cook armed with a HoloLens on a special edition of the Food Network show Chopped?  How well would HoloLens and Human come together to create a brilliant dish?
At the TV show’s core rules, each contestant must come up with a dish to be served to the Judges.  The caveat, the Chiefs must use all the ingredients from a ‘blind’ basket.  To enable a Chief with a HoloLens would instantly give the contestant a potentially ‘unfair’ advantage.  Bringing a computer with Internet access and your list of digital recipes would, on the ‘Surface’, be an equivalent advantage.
If the producers of Chopped want to level the playing field,  why not allow the other contestants use of a Microsoft Surface, continuing along the same lines of providing a HoloLens to one, or potentially all of the Chiefs.
‘Adhoc’ cooking with a HoloLens, the user may:
  • Search libraries of food recipes, filtered by the basket ingredients.   HoloLens uses object recognition to identify each of the items taken out of the basket.  Chiefs should not have to ‘say’ or ‘input’ the ingredients to the HoloLens.  Take every advantage to speed up, not slow down interaction of Chef and machine ‘working together’
  • A step by step walk through to execute the recipe, HoloLens and human working together. e.g. HoloLens highlights the salt on the user’s field of vision.  HoloLens articulates what is needed and when, like a tutor over your shoulder.
  • Recipes may have a ‘pause’ to allowremind the Chief to ‘check the food’, and provide feedback to the HoloLens.  AI on the HoloLens may indicate back to the Chief to action, such as the Chief saying it tastes too XYZ, so HoloLens responds, add NN of Salt.
  • HoloLens may also state reminders such as ‘you should be plating your food by now’,  or you haven’t added this ingredient yet.
  • The HoloLens may guide the ‘food plating’ process, almost like an empty puzzle being populated.

Note: Microsoft is not responsible for any  accidental cuts. :-)

What’s Next?

IBM’s Watson goes into battle on Bravo’s Top Chef  with the aid of any household  cook, and an Augmented Reality (AR) Headset, such as the HoloLens.

How Microsoft Gets Back into Mainstream Popularity

The HoloLens may propel Microsoft back to the ‘Cool’ kid on the block.    The HoloLens has the potential to “fly off the shelves” in tandem to Windows 10.

Ever since I saw the movie Blue Thunder, I wanted my own Heads-up display (HUD).   Here are a few suggestions for implementation:

Must Have’s

  • ‘Priced to sell':   Even if the cost of the hardware is reduced to a thin the margin, that may or may not be enough.   From day one, these “Windows into Windows” must be viewed as essential to the ‘enhanced’ OS package, like ‘Windows 10 Home Media’.
  • Microsoft, Enable Channel Sales (DELL, HP) to offer Microsoft Windows 10 and HoloLens ‘Media’ package deals, together both the OS and the HoloLens are offered at a reduced price.
  • The HoloLens and Windows 10 User Interface (UI) significantly enhances how the consumer interacts with Operating Systems.
  • [Channel] Sales may offer bundled HoloLens / Windows 10 applications, e.g. Minecraft;
  • Analyze / prioritize top 10 (N)  opportunities for application development, and produce internally, and/or with partners.
    • Partners may range from software vendors to accredited training programs, e.g. flight school XYZ
  • Intuitive  and feature rich developer APIs:
    • Provide the HoloLens developer a software ‘Simulator’
    • Products with source code examples
    • Quick path from development to market: Lean application vetting process; including the vetting of app developers.
  • Education levels 6 to 12 and beyond can benefit, segmented by: the sciences (e.g. Chemistry, Microbiology, Physics);  Trade Schools such as Automotive and HVAC;
    • Colleges and Universities may be early adopters, and expand their Massive open online courses to including remote participation, e.g. medicine
  • Applying for an ‘operator license’?  HoloLens, accompanied with a licensed operator,  allows users to wear the HoloLens, and follow a step by step, interactive tutorial within the vehicle, e.g. Car, Boat, Helicopter, Truck, Airplane, etc.

Click here:  comprehensive list of Augmented Reality (AR) apps.

Interesting articles on Microsoft’s Hololens:

Microsoft dives deeper into HoloLens details: ‘Holographic processor’ role revealed

Microsoft leaps into 3D computing with Windows Holographic and HoloLens

Hands-on with Microsoft’s HoloLens: The 3D augmented reality future is now

 

Microsoft HoloLens

 

Alzheimer’s Inflicted: Technology to Help Remember Habitual Activities  

Anyone ever walk into a room and forget why on Earth you were there?  Were you about to get a cup of coffee, or get your car keys?  Wonderful!  It’s frustrating on my level of distraction, now magnify that to the Nth degree, Alzheimer’s.  Apply a rules and Induction engine, and poof!  A step further away from a managed care facility.

Teaching the AI Induction and rules engine may require the help of your 10 year old grandson.  Relatively easy,  you might need your grandson to sleep over for a day or two.

It’s all about variations of the same theme, tag a location, a room in an apartment, also action tag, such as getting a cup of coffee from the kitchen.  The repetitive nature of the activities with a location tag draws conclusions based on historical behavior.  The more variations of action and coinciding location tags, will begin to become ‘smarter’ about your habitual activities.  In addition, the calculations create a bell curve, a way to prioritize the most probable Location/Action tags used for the suggested behavior.    The ‘outliers’ on the bell curve will have the lowest probability of occurrence.

In addition, RFID tags installed in your apartment will increase the effectiveness of the ‘advice’ engine by adding more granular location tags.

Microchip_rfid_rice
Microchip RFID compared to the size of a grain of rice.
Beyond this ‘black box’ small, lightweight computer (smartphone) integrate a Bluetooth, NFC, WiFi antenna, a mobile application and you’re set.  A small, high quality Bluetooth microphone to interact with the app.  There’s also potential for exploring beyond the home.

Kidding, you don’t need that Grandson to help.  Speak into the mic, “Train” go into the room and say your activity, coffee.  This app will correlate your location, and action.  Everyone loves to be included in the Internet of Things, so app features like alerts for deviation from the location ‘map’ are possible.

In earnest, I am mostly certain that this type of solution exists.  Barriers to adoption could be computer/ smartphone generational gap.  Otherwise, someone is already producing the solution, and I just wasted a bus ride home.

Additionally, this software may be integrated with Apple’s Siri, Google Now,  Yahoo Index, Microsoft Cortana,  an extension of the Personal Assistant.

New PhD program pioneers ‘Big Data’ solutions

UDMessenger – Our Students – Big Data.

OUR STUDENTS | The University of Delaware’s new PhD program in Financial Services Analytics (FSAN) has gotten off to a strong start.

“I love how UD was able to merge finance, data mining, statistics and other areas to create the FSAN program,” said Leonardo De La Rosa Angarita, a current FSAN student. “This is also reflected in the diversity of the students. We come from different fields, and it is wonderful how we are able to complement each other in so many different ways.”The unique program, a collaborative effort between JPMorgan Chase & Co., the Alfred Lerner College of Business and Economics and the College of Engineering, teaches students to become experts at researching and analyzing large swaths of electronic information, known as “big data” in the business world.

Big Data
Big Data

Long Chen, another FSAN PhD student, said, “After I joined the program, I expected to learn about a broad range of disciplines to fill my toolkit, and that is exactly what we are doing—taking courses from the areas of finance, statistics and computer science. Although the program just started, I can tell we are heading in the right direction.”

Bintong Chen, Director of the FSAN program, said that students are trained as researchers and professionals who play key roles in interdisciplinary teams, applying their knowledge and skills to convert vast amounts of data into meaningful information for businesses and consumers.

Bintong Chen added that the first semester put students’ skills to the test, “due to the intensity and breadth of the core classes designed for the program, ranging from very technical subjects, such as machine learning and data mining, to very business-oriented topics about financial institutions.”

Students are interacting with JPMorgan’s Corporate and Investment Bank during the spring semester to identify topics for their research projects and potential summer internships.

“I always wondered what would happen if engineers and economists would speak the same language, if professors would be more open to the world outside the walls of their offices and if industry would get more interested in what we study in our classrooms,” said Eriselda Danaj, another student in the program. “It is challenging and I love it.”

Article by Sunny Rosen, AS14

Microsoft Skype Explores Additional Revenue Opportunities

Microsoft’s Skype began rolling out an ‘upgrade’ to replace Lync yesterday.   Are there any additional revenue opportunities for Skype going beyond the Business licensing fee for Office 365?

Look no further than the artifact of a chat, the conversation.    This applies to any chat solution.   Getting beyond the ‘privacy’ issues,  the Skype app may directly feed into a blog using a blog plugin.

This plugin will allow a user to connect to a Skype account.  User defined settings would store Skype creds. in the Blog ‘Settings’ menu.

The plugin will install a new type of Blog ‘object’ called the Chat Conversation, or just Conversations.  For each Skype chat log imported, there will be a correlated [post] conversation.  Once there is a conversation posted, the Blog Admin may go into the ‘Conversation’ post, and update the post with any tags they see fit.   The imported Conversation is, by default, set to a status of Pending.  An accompanying widget will be installed, giving the blog a ‘Skype Conversation’ sidebar widget.  The widget produces a ‘Conversations’ Tag Cloud.  If a tag is selected, the UI will list any  conversations that contain the selected tag.

There may need to be a disclosure manually on the ‘Conversation’ [post].  For each post, the admin would need  to check the box that says as required by law, all participants of this conversation were notified the conversation was recorded and stored with public access.  Conversely, ‘Conversations’ may be set to password protected upon upload.

Alternatively, export the text of the conversation from Skype, import into blog post, tag, and update with Public, or Password Protected.  The drawback is the conversations are now bucketed with all the posts, and conversation tags are not separated from other posts.  A ‘Conversation’ may not only contain text, but audio, video, desktop sharing, etc.  as well.  The limits may be on the Skype client, and what can it export.  Also, this implies the Skype Conversation and all of its components (audio, video, text) may be saved either on the desktop, or the Skype ‘Cloud Data Services’.

Human Evolution: Technology Continues to Transform Socieities for Generations

In the last 20 years, I’ve observed technology trends, and Tech achievements have risen and fallen from the mainstream.  Tech has augmented our lives, and enhanced our human capabilities.  Our evolution will continue to be molded by technology and shape humanity for years to come.

Digital Asset Management (DAM)

Everything you might find on your computer from emails to video are digital assets.  Content from providers, team collaboration,  push and/or pull asset distribution, and archiving content are the workflows of DAM.

DAM solutions are rapidly going main stream as small to medium sized content providers look to take control of their content from ingestion to distribution.  Shared digital assets will continue to grow rapidly.  Pressure by stockholders to maximize use of digital assets to grow revenue will fuel initiatives to  globally share and maintain digital asset taxonomies.  For example, object recognition applied to image, sound and video assets will dynamically add tags to assets in an effort to index ever growing content.  If standard taxonomies are not globally adopted, and continually applied to assets, digital content stored will become, in essence, unusable.

The Internet of Things (IoT)

All devices across all business verticals will become ‘Smart’ devices with bidirectional data flow.  Outbound ‘Smart’ device data flow is funneled into repositories for analysis to produce dashboards, reporting, and rules suggestions.

Inbound ‘Smart’ device data can trigger actions on the device. Several devices may work in concert defined by ‘grouping’ e.g. Home: Environmental. Remote programming updates may be triggered by the analysis of data.

  • AI Rules Engine runs on ‘backend’.  Rules defined by Induction,  through data analysis, and human set parameters,  executed in sequence
  • Device optimization updates, presets on devices may be tuned based on ‘transaction’ history, feedback from user, and other ‘Smart’ devices.
  • Grouped ‘Smart’ devices, e.g. health monitors’ data uploaded, analyzed, and correlating across group.  Updated rules, and notifications triggered.
  • Manual user commands, ad hoc or scheduled

… as a Service

Cloud ‘Services’ enables scalability on demand, relatively lower cost [CapEx] overhead, offsite redundancy, etc.  Provides software solutions companies to rapidly deploy to Dev., Test, and Prod. environments.  Gaming, storage, and virtual machines are just a few of the ‘…as a service’ offerings.  IoT analysis may reveal a new need for another service.

Human Interface

  • Augmented Reality A.R.

Integrates user to surrounding environment with overlay images to your eyes to REpresent anything, e.g. Identifies surrounding people with Twitter handle/user name above their heads.  Interacts with smartphone for Inbound and outbound data flow.  May allow App and OS programmers to enable users to interact with their ‘traditional’ software in new ways, e,g. Microsoft Windows 8+, current interaction with ’tiles’, may shift from a two to three dimensional manipulation and view of the tiles.  Tiles (apps) pop up when, through object recognition, predefined characteristics match, e.g.  Looking at a bank check sent to you from the mail?  Your Bank of America tile / app may ask if you want to deposit the check right now?

  • Virtual Reality, V.R.

As more drones, for example, collect video footage, may be used for people to experience the landscapes, beaches, cities, mountains, and other features of a potential destination, which may lead to tourism.  In fact, travel agencies may purchase the V.R. Headsets, and subscribe to a library of V.R. content.  Repository platform would need to be created.  Specs for the ‘How To’ on collecting V.R. Video footage should be accessible.  Hathaway real estate offers a V.R. tour of the house, from their office.

Autonomous  Vehicles (Average Consumer or hobbyist)

  • Cars 
  • Drones
  • Satellites 

Social Media Evolution

Driving forces to integrate with society puts pressure on individuals to integrate with the collective social conscious.  As digital assets are published, people will lunge at the opportunity to self tag every digital asset both self and community shared assets.  Tagging on social media platforms is already going ahead.   Taxonomies are built, maintained and shared across social media platforms.  Systematically tagged [inanimate] objects occur using object recognition. Shared, and maintained global taxonomies not only store data on people and their associated meta data, (e,g,  shoe size, education level completed, HS photo,etc.) but also store meta data about groups of people, relationships and their tagged object data.

The taxonomies are analyzed and correlated, providing better, more concise demographic profiles.  These profiles can be used for 

  • Clinical trials data collection
  • Fast identification of potential outbreaks, used by the CDC
  • The creation and management of AI produced Hedge Funds
  • Solicitation of goods and services

Out of Compliance

These three dreaded words you are guaranteed to see more and more often.  As all aspects of our lives become meta data on a taxonomy tree, the analysis of information will make correlations which drive consumers and members of society ‘out of compliance’.  For example, pointers to your shared videos of you skydiving will get added to your personal taxonomy tree.  Your taxonomy tree will be available and mandatory to get life insurance from a tier 1 company.  Upon daily inspection of your tree by an insurance AI engine, a hazardous event was flagged. Notifications from your life insurance company reminding you ‘dangerous’ activities are not covered on your policy.  Two infractions may drive up your premiums.

Companies Turn Toward “Data Sifters” & “Data Banks” to Commoditize on ‘Smart Object’ Data

Anyone who is anti “Big Brother”, this may not be the article for you, in fact skip it. :-)
In the not so distant future, “Data Sifter” companies consisting of Subject Matter Experts (SME) across all verticals,  may process your data feeds collected from ‘smart objects’.   Consumers will be encouraged to submit their Smart data to ‘data sifters’ who will offer incentives such as a reduction of insurance premiums.
Everything from activity trackers, home automation, to vehicular automation data may be captured and aggregated.    The data collected can then be sliced and diced to provide macro and micro views of the information.    On the abstract, or macro level the information may allow for demographic, statistical correlations, which may contribute to corporate strategy.
On a granular view, the data will provide “data sifters” the opportunity to sift through ‘smart’ object data to perform analysis, and correlations that lead to actionable information.
Is it secure?  Do you care if a hacker steals your weight loss information?  In fact, you might feel more nervous if only the intended parties are allowed to collect the information. Collected ‘Smart Object’ data enables SMEs to correlate the data into:
  • Canned, ‘intelligent’ reports targeted to specific subject matter, or across silos of data
  • ‘Universes’ (i.e.  Business Objects) of data that may be ‘mined’ by consumer approved, ‘trusted’ third party companies, e.g. your insurance companies.
  • Actionable information based on AI subject matter rules engines

Consumers, people, may have the option of sharing their personal data with specific companies  by proxy, through a ‘data bank’ down to the data point collected   The sharing of personal data or information:

  1. may lower [or raise] your insurance premiums
  2. provide discounts on preventive health care products and services, e.g. vitamins to yoga classes
  3. Targeted, affordable,  medicine that may redirect the choice of the doctor to an alternate.  The MD would be contacted to validate the alternate.

The ‘smart object’ data collected may be harnessed by thousands of affinity groups to provide very discrete products and services.  The power of this collected ‘smart data’ and correlated information stretches beyond any consumer relationship experienced today.

At some point, health insurance companies may require you to wear a tracker to increase or slash premiums.  Auto Insurance companies may offer discounts for access to car smart data to make sure suggested maintenance guidelines for service are met.

You may approve your “data bank” to give access to specific soliciting government agencies or private research firms looking to analyze data for their studies. You may qualify based on the demographic, abstracted data points collected.   Incentives provided may be tax credits, or paying studies.

‘Smart Object’ Adoption and Affordability

If ‘Smart Objects’, Internet of Things (IoT) enabled, are cost inhibiting.  here are a few ways to increase their adoption:
  1.  [US] tax coupons to enable the buyer, at the time of purchase, to save money.  For example, a 100 USD discount applied at the time of purchase of an Activity Tracker, with the stipulation that you may agree,  at some point, to participate in a study.
  2. Government subsidies: the cost of ‘Smart Objects’ through annual tax deductions.  Today, tax incentives may allow you to purchase a ‘Smart Object’ if the cost is an itemized medical tax deduction, such as an Activity Tracker that monitors your heart rate, if your medical condition requires it.
  3. Auto, Life, Homeowners, and Health policy holders may qualify for additional insurance deductions
  4. Affinity branded ‘Smart Objects’ , such as American Lung Association may sell a logo branded Activity Tracker.  People may sponsor the owner of the tracking pedometer to raise funds for the cause.
The World Bank has a repository of data, World DataBank, which seems to store a large depth of information:
World Bank Open Data: free and open access to data about development in countries around the globe.”
Here is the article that inspired me to write this article:
Smart Object Data Ecosystem
Smart Object Data Ecosystem

FDA: Nutritional Facts Labels Go Digital

The FDA is considering new guidelines for Nutritional Facts Labeling.    The Nutritional Fact labels on foods and other goods under the FDA umbrella have a tremendous amount of details for the consumer, e.g. daily allowances, from vitamins to sodium.

Providing all of the Nutritional Fact details on the package is great, but how can we hope to track all of these data points to make sure we’ve achieved targeted daily goals.  Established diet systems, e.g. weight watchers, have suggested targets for calorie intake.  Some programs suggest counting Carbs.  All of these nutritional details are not only daunting to read, who would have time to track them? What facts are important to track?

Now the FDA is considering the requirement of adding a QR Code to our food Nutritional Facts labels.  If a consumer scanned the QR Code with their smart phone, they would have all of the Nutritional Fact details in digital form.  The digitized facts may then be imported into any smartphone app to monitor any of these values, and use the data to fit any 3rd party diet.  Monitoring food intake just got easier and more usable.  Alone, on a package of food, the Nutritional Facts are just data points, the digitized data can be easily integrated into our meal to meal consumption.   Furthermore, as these data points are analysed, and coordinated to other metrics, such as body weight, diets can become smarter, and even the FDA may make adjustments to the  daily allowances.  How many people really use these data points?

LinkedIn Expansion: Live Video Chat for Screening \ Interview Process

A natural progression of the LinkedIn platform enables companies to screen / interview candidates using live, video chat sessions available within the expanded LinkedIn platform.  Companies may be able to more accurately filter candidates with this screening process.   Live video chat / interview sessions with the candidate  and the employer may be recorded, and linked as an ‘artifact’ of the posted role.

For each video chat session, the employer may ‘bookmark’, in real time, their HR question, and ‘bookmark’ the candidate’s answer.   Video interviews may be automatically parsed for the bookmarked Q&A, and record the conversation to text.

HR may perform the initial interview screening, and then forward on the video session, and transcribed Q&A text to the hiring manager.   The hiring manager may toggle through each Q&A, read and/or play the interview of that section.  Based on the review of the candidate Q&A, the hiring manager may select to move forward with the candidate to next steps (e.g. face to face), or reject the candidate.

The live, video chat interview session may be indexed for key words, and if both the prospective employer and the candidate allow, the indexed text may be searchable by other prospective employers or recruiters.  The conversation’s full transcript, and/or the Q&A text are also available for search and review.  Optionally, if the candidate has been rejected, they may choose to share their interview Q&A session with other potential candidates.  This may be an issue for the employer, so both the candidate and employer must agree to have this available to either your connections or the public.

Entertainment Portals, and Opportunities for Target State

This posting is an assessment of the current state of entertainment portals, and opportunities for future, target states.  This post may be updated as additional portals are evaluated, and system capabilities are added. System capabilities listed maybe mutually exclusive.

Entertainment Portal Analysis in PDF Format

ENT Portal Delivery Model - Slide 1
ENT Portal Delivery Model – Slide 1
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ENT Portal Delivery Model – Slide 2
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ENT Portal Delivery Model – Slide 3
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ENT Portal Delivery Model – Slide 4
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ENT Portal Delivery Model – Slide 6
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ENT Portal Delivery Model – Slide 7

`ENT Portal Delivery Model - Slide 8
ENT Portal Delivery Model – Slide 8

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