My Digital FootPrint

Original Post = http://chucksblog.emc.com/chucks_blog/2011/12/understanding: the: new: rock: star: the: emc: data: science: survey.html If Big Data is Big then the race is now on to acquire and maximize the productivity of the key talent behind this wave: data scientists and their supporting data science teams. " We live in a data-driven world. Increasingly, the efficient operation of organizations across sectors relies on the effective use of vast amounts of data. Making sense of big data is a combination of organizations having the tools, skills and more importantly, the mindset to see data as the new "oil" fuelling a company. Unfortunately, the technology has evolved faster than the workforce skills to make sense of it and organizations across sectors must adapt to this new reality or perish ." Andreas Weigend, Ph.D Stanford, Head of the Social Data Lab at Stanford, former Chief Scientist Amazon.com Key Findings from the report Informed Decision: making:

Further comments to the post of facial recognition earlier today http://blog.mydigitalfootprint.com/facial-recognition-is-it-part-of-my-digital-f And other comments on the blog here http://blog.mydigitalfootprint.com/?sort=&search=facial So the short version is that you can take a picture of someone, use the image to search images on say Facebook, match the two images using some sort of facial recognition algorithm and therefore find out someone's name (given the match and the different database entries).  This would apply even for someone just walking down the street, or tracking them where they walked, find you where they live and any other data.... shock.  It simple terms it is allowing databases to be paired to create value or make it really creepy. Test cases prove it all works but they use data that was "selective" to make it quicker, but the reality is here and these services will be rolled out and you will be identified without being asked from your ID,

The digital world is binary in terms of 1's and 0's but a collection of data is never binary. (yes there are a few exceptions) We like choices to be black and white but we survive in a world defined by shades of grey. (yes some choices are black and white but very few) We love the elegance of simplify but live in world full of complexity and chaos with every choice. (do we create complexity to avoid the truth!) In the same way that Newton's theories provided order and Einstein originally rejected Heizenberg's ideas of quantum/ chaos as the evolution of Newton's laws and wanted to hold onto the simplicity of order, I would content that we have a the same problem in digital privacy….. We like order but cannot deal with the consequences which are a lack of choice.  The perfect storm here is private and public defined as "if you say it is private then is it, if you don't it is then it is not"  or "you have said it is public so it is" 

Image source : http://memeburn.com/2011/03/why-data-is-the-new-oil/ There are a lot of trends for 2012 about data being the new gold, oil currency or something other commodity. Even if we ignore the basic economics about physical commodities (they are limited) raw data has some value, moving along the refinement process we know that filtered data has more value, presented data has even more value but data analysis that tells the story and the future has more, but the highest value is that which changes a behaviour.  Assuming that  everyone now has some digital influence  that can create behaviour or attitude change (not just celebrities, academics, policy makers or those who sway public opinion) - will we see in 2012 an influence reward system that will yield wealth and value on those with the most digital social influence or just more about how to score it?

Categorising media as Paid, Owned and Earned isn’t particularly useful. In fact, it simply appears to reinforce increasingly irrelevant functional silos. The Influence View of Content aims to establish something more useful. It’s a perspective that seeks to help influence professionals think about how influence goes around and comes around in line with the Influence Scorecard framework . [youtube http://www.youtube.com/watch?v=4ZX9_Skc6Qg] Source : http://www.philipsheldrake.com/2011/11/the-influence-view-of-content-0-1/

Source : http://www.clearspring.com/

Image source The current estimates are that there are over 500 tools that will listen, monitor, track or analyse your business, product, service, brand, PR, reach, influence or customer digital interactions and deliver a dashboard of “data analysis”. The question is now not should we do it or what to listen for but how to read the analysis and decipher what customers are saying or trying to tell you; but not going as far an assuming customer know what they want!? Hence the interest in “sentiment analysis” which aims to give better output analysis delivering better marketing, detection of opportunities and threats, protection of reputation and brand, and maintain or improve margin. We know that analyzing natural language is difficult (even without accents) however sarcasm and other forms of derisive language adds additional complexity and we cannot assume that customer statements are true, as we know that  context has a great bearing on meaning . Given I was working on video phones