Microsoft Surface Tablet Spikes Early in News Pattern Relevancy

News Patterns discovers patterns and trends among overwhelming flows of news and social media, as defined by thousands of independent news content creators.  The most relevant topics win the center of our radar spaces.  Less relevant topics occupy the periphery of the radar space.  Changing real-time news alters the positions and movements of the radar topics, often correlating with market share results.  Topics that are near each other can be highly connected or related to each other in the news.

In the following Tablet News Radar history, we can track the approximate path of the Microsoft Surface tablet over the past year.  The Surface was announced in the summer of 2012.  The Tablet Radar shows us that Surface started like most new products with low news pattern relevancy as compared with existing competitors and other market forces.   By October of 2012 when it was introduced for sale, the Surface reached its peak relevancy, nominally challenging market leaders Apple iPad and Android OS tablets at the center of the radar.

The live animated radar can be seen here: Tablet Animated News Discovery Radar.  Daily updates to UP Politics and other News Radars can be found at this Twitter location John Dundas, News Patterns

 

Nevertheless, in subsequent months past October of 2012, Surface news patterns exhibited a steady decline in relevancy.  Tablet Radar news relevancies appear to be correlating with recent market share data.  In their August 5, 2Q 2013 Worldwide Tablet Tracker, IDC  recently reported Android, iPad (Apple iOS) and Surface (Microsoft OS) tablet market shares were respectively 63%, 33% and 5% .

Surface can reverse its relevancy decline by becoming the tablet of choice of for Game, Multimedia or Business app users.  In the above radar illustration, one can see the high relevancy of these apps.  If a tablet becomes relevant to a large customer group, history shows us that news creators will be interested, and will document user experiences with articles that connect-the-dots among the players in a marketplace. 
 

Hurricane Healthcare Brushes Past Obama and Takes Aim at the US Congress

News Patterns discovers patterns and trends among overwhelming flows of news and social media, as defined by thousands of independent news content creators.  The most relevant topics win the center of our radar spaces.  Positions and movements define what a collective news intelligence is telling us in real-time, often correlating closely to polling results.  Topics that are near each other are highly connected or related to each other in the news.

In the following August 20, 2013 snapshot, one can see President Obama and the US Congress are the central news topics at the US Politics News Radar center.  Over the past six weeks we can see that the Healthcare (aka Obamacare) topic has emerged from low relevancy to become a significant disruption to US federal leadership.  In fact, the Healthcare topic first brushed past President Obama and is now taking aim at the US Congress.  Thousands of local town hall meeting articles are giving energy and direction to the healthcare storm.

The live animated radar can be seen here: US Politics Animated News Discovery Radar.  Daily updates to UP Politics and other News Radars can be found at this Twitter location John Dundas, News Patterns

In spite of apparently missing the thrust of the Healthcare storm, President Obama and the White House should be preparing for the emerging Arab Spring storm that is being energized by civil strife in Egypt.
 

News Patterns Forecast a Disruptive Arab Spring Storm for President Obama

News Patterns is the big picture of relevant news, trends and connections out of overwhelming flows of news and social media.  Presently, the US Politics radar is discovering patterns out of 130,000 monthly articles.

Since my last posting, the topic of Arab Spring has been gaining in relevancy in the US Politics radar.  Arab Spring encompasses topics like Syria, Benghazi and certainly the near civil war in Egypt.  As can be seen in the following radar snap-shot, the topic of Arab Spring has moved into a more potentially disruptive path since a month ago. 

The topic of Arab Spring now has a clear path toward a greater disruptive impact on President Obama since there are few intervening topics between it and the US President at this time.  In fact this disruptive pattern may intensify if journalists and bloggers increasingly connect President Obama with Egypt - a connection that has heretofore been relatively minimal.

 

 

Radar Notes: The most relevant topics win the center of our radar spaces, and are often the primary contestants in markets or politics.  Positions and movements define what a collective news intelligence is telling us in real-time, often correlating closely to polling results.  Topics that are near each other are highly connected or related to each other in the news.  The strength of connections among news topics is more important than the simple counting of article instances.
Live animated radar can be seen here: US Politics Animated News Discovery Radar.

Coincident with the brewing Arab Spring storm, these storms are also being tracked in the US Politics radar:

• Healthcare (aka Obamacare)  - same intensity since last report on August 9, 2013
• Economy - dissipated intensity
• Spending (debt ceiling) - dissipated intensity
• Jobs - same intensity
• Arab Spring - growing intensity
• Spying (NSA) - same intensity
• Immigration (reform bills) - dissipated intensity
• IRS - dissipated intensity

Thousands of news journalists, bloggers and social media contributors will continually observe and report on these storms as they develop.  Our news patterning algorithms will capture the collective trends and display them as an early warning system. Daily updates to UP Politics and other News Radars can be found at this Twitter location John Dundas, News Patterns

 

News Patterns Forecast a Disruptive Political Season for US Congress and President Obama

News Patterns discovers patterns and trends among overwhelming flows of news and social media.  The most relevant topics win the center of our radar spaces, and are often the primary contestants in markets or politics.  Positions and movements define what a collective news intelligence is telling us in real-time, often correlating closely to polling results.  Topics that are near each other are highly connected or related to each other in the news. 

In my last posting, I focused on the Healthcare Hurricane.  This posting positions Healthcare among other potential political storms.  Many storms are brewing.

Below is the August 9th, 2013 US Politics News Radar.  It is forecasting significant political hurricanes that are brewing in the relatively quiet, late summer news cycle.  As news events unfold, topics that are now peripheral, may grow in strength and start to converge on President Obama and the US Congress at the center of the US Politics radar.  Our animated versions of this radar will show the daily trackings of the political storms.  If storm events do converge on the radar center, then politicians will need to anticipate, plan and react.
 

 

Live animated radar can be seen here: US Politics Animated News Discovery Radar.

Political storms that we are now tracking include these in most expected occurrence order as tracked in US Politics News Radar:

• Healthcare (aka Obamacare)
• Economy
• Spending (debt ceiling)
• Jobs
• Immigration (reform bills)
• Spying (NSA)
• Arab Spring (Egypt, Benghazi, Syria)
• IRS

Thousands of news journalists, bloggers and social media contributors will continually observe and report on these storms as they develop.  Our news patterning algorithms will capture the collective trends and display them as an early warning system. Daily updates to UP Politics and other News Radars can be found at this Twitter location John Dundas, News Patterns

Multiple Hurricane warnings are now issued for President Obama and the US Congress.
 

Hurricane Healthcare Descends on Obama and Congress in the US Politics News Radar

News Patterns discovers patterns and trends among overwhelming flows of news and social media, as defined by thousands of independent news content creators.  The most relevant topics win the center of our radar spaces.  Positions and movements define what a collective news intelligence is telling us in real-time, often correlating closely to polling results.  Topics that are near each other are highly connected or related to each other in the news.

Here is August 5, 2013 version of US Politics radar.  Over 150,000 articles were collected, patterned and rendered into our animated radar over the past month.  In this snapshot, one can see President Obama and the US Congress are the central news topics at the radar center.  Our radars often discover the primary contestants in politics, business and finance, and locate them at the radar center.

Live animated radar can be seen here: US Politics Animated News Discovery Radar

One can also see and track the growing relevancy of the Healthcare topic among other US politics topics and politicians over the past month.  In fact, the Healthcare topic emerged from relative obscurity and is now crowding out other topics like Immigration, IRS Scandal, NSA Security, Economy and Arab Spring (aka Egypt, Syria, Benghazi).  The  effect of the Healthcare topic is now hurricane like in its disruption of existing US politics topics and their relationships to politicians.

Hurricane Healthcare warnings are now issued for President Obama and the US Congress.
 

News Patterns Competition Graph Extends the Power of a User’s Interest Graph

Earlier this year CNET published an interview that was originally published by Bloomberg Television: Yahoo CEO Marissa Mayer talks mobile strategy and more.  There are two specific points in this interview with which I agree with Ms. Mayer.

1) Personalization: “…image recognition, voice recognition, translation--these are back on technologies to being able to understand context.”

 

2) The Interest Graph - “…your personalization, your context, …to make sense of the content. It is the Internet ordered for you. ... Now it's so vast that you can't just categorize it anymore.“

 

Currently most interest graphs for individuals are defined by a user's previously captured behavior.  This behavior could include purchases or web browsing habits.  Nevertheless, these variations of interest graphs are limiting because a history of behavior is needed and they assume that a user is already efficiently discovering content that should be interesting to him or herself.

The News Patterns approach for personalization and context is to refine an individual's interest graph with his/her "competition graph."  Nearly every business, financial and political decision maker is involved in some variation of competition.  In competitive environments, there are archetypical forces that drive what is relevant for players in the environment.  Some of these archetypical forces include competitors, buyers, suppliers, substitutes, potential entrants, government mandates and societal trends.  Political equivalents include voters, politicians, issues, donors, etc.  Many of these forces have thoroughly been documented by Michael Porter of the Harvard Business School. 

News Patterns algorithms create a competition graph (interest graph) about a user simply by knowing the employment, investments or campaign of a user.  With this interest graph, the universe of potentially relevant news and social media articles are collected, from which patterns are discovered that highlight articles that have a high potential of being interesting for an individual.  The result is an efficient discovery or recommendation engine that anticipates interesting content for a user - content that could never realistically be searched for by a busy and often distracted user.

As Ms. Mayer said, users are increasingly looking for the "Internet ordered" for themselves, without the traditional step of them stopping to search for it.

Visual Discoveries Empower Superior Early Warning Intelligence

Several weeks ago I wrote about the evolution of Discovery intelligence from its foundations in Search intelligence.  Discovery is the Next Major Step of Awareness Beyond News Search.   At that time, I used this definition of discovery:

Discovery - the measured and prioritized alerting to targeted recipients of relevant "news" and trends pertaining to their intelligence interests. 

 

An important outcome of discovery is Early Warning alerting.  Business, political and financial decision makers are increasingly harnessing the swarm intelligence of news and social media to obtain early warnings about their interests.  In particular, early warning discovery covers these threat categories as they pertain to news and social media:

• Threats can be evolving "over the horizon," beyond the scope of daily or weekly awareness as part of new and unexpected connections.  These connections can be among hundreds of potential competitor-buyer-supplier relationships influenced by new technologies, governmental actions and societal trends.  Similar political connections can be evolving among politicians, voters, interest groups, and policy issues.
• Threats can be hidden in torrents of daily news and social media flows - visible if one were able to systematically find and prioritize the interesting trends and connections.

We use innovative visual and animated "radars" to enhance the scope and speed of the early warning discovery process.  The human ability to perceive warning imagery and patterns is 50,000 times faster than the reading of text about potential threats.  With this greater perception speed, decision makers can scan a larger scope of potential threats in less time than traditional early warning reporting.  Our early warning process converts huge volumes of news and social media into images and patterns that catch the eye of decision makers who use the visualized patterns to drill down to the specific news and social media articles.  No human can possibly rely on "search" in high-volume news and social media environments to achieve a viable early warning system.  Threats will be missed.  Visually assisted discovery processes are the modern solution for early warning.