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
ENT Portal Delivery Model - Slide 2
ENT Portal Delivery Model – Slide 2
ENT Portal Delivery Model - Slide 3
ENT Portal Delivery Model – Slide 3
ENT Portal Delivery Model - Slide 4
ENT Portal Delivery Model – Slide 4
ENT Portal Delivery Model - Slide 5
ENT Portal Delivery Model – Slide 5
ENT Portal Delivery Model - Slide 6
ENT Portal Delivery Model – Slide 6
ENT Portal Delivery Model - Slide 7
ENT Portal Delivery Model – Slide 7

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

Google Introduces their Cloud, Digital Asset Management (DAM) solution

Although this is a saturated space, with many products, some highly recommended, I thought this idea might interest those involved in the Digital Asset Management space.  Based on the maturity of existing products, and cost, it’s up to you, build or buy.  The following may provide an opportunity for augmenting existing Google products, and overlaying a custom solution.

Google products can be integrated across their suite of solutions and may produce a cloud based, secure, Digital Asset Management, DAM solution.   In this use case, the digital assets are Media (e.g. videos, still images)

A Google DAM may be created by leveraging existing features of Google Plus, Google Drive, YouTube, and other Google products, as well as building / extending additional functionality, e.g. Google Plus API, to create a DAM solution.   An over arching custom framework weaves these products together to act as the DAM.

Google Digital Asset Management (New)

  1. A dashboard for Digital Asset Management should be created, which articulates, at a glance, where project media assets are in their life cycle, e.g. ingestion, transcoding, editing media, adding meta data, inclusion / editing of closed captions, workflow approvals, etc.
  2. Creation and maintenance of project asset folder structure within storage such as Google Drive for active projects as well as Google Cloud Storage for archived content.  Ingested content to arrive in the project folders.
  3. Ability to use [Google YouTube] default encoding / transcoding functionality, or optionally leverage alternate cloud accessible transcoding solutions.
  4. A basic DAM UI may provide user interaction with the project and asset meta data.
  5. Components of the DAM should allow plug in integration with other components on the  market today, such as an ingestion solution.

Google Drive and Google Cloud Storage.  Cloud storage offers large quantities of storage e.g. for Media (video, audio), economically.

  1. Google Drive ingestion of assets may occur through an automated process, such as a drop folder within an FTP site.  The folder may be polled every N seconds by the Google DAM orchestration, or other 3rd party orchestration product, and ingested into Google Drive.  The ingested files are placed into a project folder designated by the accompanying XML meta file.
  2. The version control of assets, implemented by Google Drive and the DAM to facilitate collaboration and approval.
  3. Distribution and publishing media to designated people and locations, such as to social media channels, may be automatically triggered by DAM orchestration polling Google Drive custom meta data changes.   On demand publishing is also achievable through the DAM.
  4. Archiving project assets to custom locations, such as Google Cloud solution, may be triggered by a project meta data status modification, or on demand through the DAM.
  5. Assets may be spawned into other assets, such as clips.  Derived child assets are correlated with the master, or parent asset within the DAM asset meta data to trace back to origin.  Eliminates redundancy of asset, enabling users to easily find related files and reuse all or a portion of the asset.

Google Docs

  1. Documents required to accompany each media project, such as production guidelines, may go through several iterations before they are complete.  Many of the components of a document may be static.  Google Docs may incorporate ‘Document Assembly’ technology for automation of document construction.

Google’s YouTube

  1. Editing media either using default YouTube functionality, or using third party software, e.g. Adobe suite
  2. Enable caption creation and editing  may use YouTube or third party software.
  3. The addition & modification of meta data according to the corporate taxonomy may be added or modified through [custom] YouTube fields, or directly through the Google DAM Db where the project data resides.

Google’s Google Plus +

  1. G+ project page may be used for project and asset collaboration
  2. Project team members may subscribe to the project page to receive notifications on changes, such as new sub clips
  3. Asset workflow notifications,  human and automated:
    1. Asset modification approvals (i.e. G+ API <- -> DAM Db) through custom fields in G + page
    2. Changes to assets (i.e. collaboration) notifications,
    3. [Automated] e.g. ingestion in progress, or completed updates.
    4. [Automated] Process notifications: e.g. ‘distribution to XYZ’ and ‘transcoding N workflow’.  G + may include links to assets.
  4. Google Plus for in-house, and outside org. team(s) collaboration
  5. G + UI may trigger actions, such as ingestion e.g.  by specifying a specific Google Drive link, and a configured workflow.

Google Custom Search

  1. Allows for the search of assets within a project, within all projects within a silo of business, and across entire organization of assets.
  2. Ability to find and share DAM motion pictures, still images, and text assets with individuals, groups, project teams in or outside the organization.  Google Plus to facilitate sharing.
  3. Asset meta data will e.g. describe how the assets may be used for distribution, digital distribution rights.   Users and groups are implemented within G+, control of asset distribution may be implemented in Google Plus, and/or custom Google Search.

Here are a list of DAM vendors.

Movies I’ve seen that premiered in 2014 on the Silver Screen or through digital media platforms

Here’s a list of movies I’ve seen in 2014, in no particular order.

  1. The LEGO Movie (2014)
  2. X-Men: Days of Future Past (2014) – Awesome
  3. Dawn Of The Planet Of The Apes (2014)
  4. Guardians of the Galaxy (2014) – Awesome
  5. Live Die Repeat: Edge of Tomorrow (2014) – Awesome
  6. Captain America: The Winter Soldier (2014) – Mostly Awesome
  7. I Frankenstein – just saw last night, thanks Netflix
  8. Monuments Men
  9. 300: Rise of an Empire – entertaining
  10. The Amazing Spiderman 2 – strayed from the mother ship
  11. Maleficent – well done
  12. Lucy – entertaining
  13. Teenage Mutant Ninja Turtles
  14. The Maze Runner – entertaining, and slightly thought provoking
  15. Interstellar
  16. Mockingjay Part 1 – entertaining
  17. Exodus Gods And Kings- very entertaining
  18. The Hobbit 3 – well done
  19. Night At The Museum 3
  20. The Imitation Game  –  entertaining
  21. Into the Woods – good cast
  22. Nightcrawler

There are tons of movies from this year I haven’t seen, and don’t even know exist.  Maybe, Amazon Instant, Netflix, etc. will help make me aware of the movies I missed.  Maybe even post these movies for viewing soon.

Source list provided by Rotten Tomatoes and Wild about Movies.

Any others you can recommend?

Media Companies (and Execs) in the Driver’s Seat for a Prosperous New Year

Media Companies (and Executives) on the Hot Seat in 2015 – NYTimes.com.

I respectfully disagree with the NYT article.   Media content providers, especially those who are trying to adapt to this brave new world, have significant opportunities moving into this new year.

Media needs a large cash infusion to their R&D to experiment with:

  1. Delivery paradigms.  Significant diversification in delivery mediums are still in their infancy.  Motion picture brands are, by and large, using media distribution brokers who bundle a large diversification of brand assets collectively to provide great depth of media choices.   Media brands/networks are distributed through a grouping of ‘channels’  delivered through the intermediary, e.g.  cable company.  Media content creators are competing with a crowded group of similar and dissimilar brands all within the same portal used by media bundled providers.   There are quite a few opportunities for delivery in lieu of the older paradigm, such as a distribution of brands around a genre would make it easier for the consumer to find and enjoy their media content.  For example, comedy.com, a portal for all media brands comedy, could be a great partnership across media companies.   This collective portal, an alignment of brands within the same genre,  living across media companies, may not only provide an easier, entertaining, and more enjoyable experience, it helps to innovate all those within this media partnership.   In addition to motion pictures, other formats such as text, photos and graphics, may be delivered through the same medium.  Several companies are already broaching this space such as Amazon, Google,  Microsoft Video, Netflix,Yahoo!, and AOL.  If media content creators don’t experiment with creative distribution initiatives, they may find themselves bargaining with 3rd party distribution for the cost of IP digital distribution.
  2. Creative reuse of existing assets.  This is one of my favorite opportunities media content creators can do.  Many brands are already capitalizing on the reuse of assets, which then spawn to be assets on their own.  Everything from one off episodes, or Webisodes, cast interviews, outtakes, interaction with live audiences through tweets (cast, director narration, and Q&A), mobile text contests,  mobile app for streaming, apps for audience real-time interaction, e.g. games, and actors retweeting fan favorite clip links .  Another one of my favorites are user created ‘favorite’ clips.  The media creator may limit the enthusiast / fan of the content to create e.g. 60 second clips to share on social networks.  The distributor needs to allow in and out points, and then the consumer can share through an email or social media.   These extra assets have great potential, but brands attempting  to socialize these   assets may have difficulty exposing them to viewership.  An integrated video  and dynamic , interactive media content may surface through clickable images, either through object recognition, or a simple image overlay, like a network ‘bug’.  Users may click through to the content, and instantly get a media teaser that will keep hold of the consumer, and manage the media experience.   The click through interactive experience is a whole world unto itself, which requires leaps and bounds of consumer experience usability studies, backed by wireframe prototypes.  The reuse of assets suffers from delivery paradigms, which fail due to a consumer content delivery void.
  3. New content driven by the consumer appetite for your brand will grow your revenue and audience affinity. This is an area which some organizations go ‘all in’, or have smaller budgets.  It seems that these new productions are hit or miss.  A single pilot should be exposed to several test markets, and if there is positive feedback, the brand or distributor could order more episodes.  On a tangent, there is opportunity for media production companies to go to colleges, and universities, provide budgets to, e.g. film classes to produce a trailer, or short . The best clips may turn into pilots for a show, which may be a one off distributed by web only, broadcasted, or both.

The lack of exposure to the brand, or network, is a huge issue which is deepened by leveraging the bundled content distributor as your primary source of distribution.   How to draw consumers to a brand in a saturated world of content is a daunting task.

Are media content creators looking to make large investments to innovate, or are they looking to stabilize their reduction of profit from falling ad sales, with methods such as stagnant or reduction in headcount, and slowing the breaks on CapEx.  It seems like even a temporary retreat to see who is the new trailblazer, and follow that model can be a costly mistake for the brand running into obscurity.  Companies are already following some of the leaders in the marketplace today, but their success is not guarantee for tomorrow’s performance.

Bundled content providers may also take a page from the proposed model where we have STB customized portals, e.g. based on user’s previously viewed content,  a jump page for your viewing experience.  A new STB may incorporate a Wii type sensor, and a new remote,  interacting with the sensor to provide a more fluid experience.  A lot of opportunities,  for talented people, as well as the investors who believe in them.

Smart Solutions

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