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Gonzalo San Gil, PhD.

Wondering What Lies Ahead? The Power of Predictive Modeling | Forte Consultancy - 0 views

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    "Forte Consultancy / May 17, 2010 From telecoms to finance, e-commerce to government, predictive models are being utilized across various sectors to tackle all kinds of business problems. Companies that have yet to benefit from this practice need to examine the ways in which they can do so… You can download PDF version of this whitepaper here."
Gonzalo San Gil, PhD.

11 predictions for Linux in 2016 | CIO - 0 views

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    "Peer into the future The Linux world changed a lot in 2015. Perhaps the biggest change was at Microsoft, which turned from a foe into a lover of Linux. We saw the first Ubuntu Linux powered smartphone. Samsung launched a smartwatch running on Tizen Linux. In the enterprise, Linux and open source continued to become stronger with technologies like OpenStack, Docker, and Cloud Foundry. It has been an exciting year. What does 2016 hold for Linux? Here are my predictions."
Wildcat2030 wildcat

The Knowledge Conduit | Knowledge Matters - 3 views

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    "First, you should observe that there are two distinct domains - the descriptive domain and the predictive domain - and that data and information belong to the descriptive domain. I like Davenport and Prusaks' (1998, pp 2-3) definition of data as being "a set of discrete, objective facts existing in symbolic form that have not been interpreted". The symbolic form may be text, images, or pre-processed code. Data is usually organised into structured records, however it lacks context. The declaration 'Iron melts at 1,538 degrees Celsius.' is a data statement because it has no context. In this model when data is enriched by adding context it may become information. Information is data with a message, and therefore has a receiver and sender. It is data with relevance and purpose that is useful for a particular task, and is meant to enlighten the receiver and shape their outlooks or insights. Information results in an action that allows the data to be applied to a specific set of circumstances and to be employed effectively. Data only becomes information after it has been interpreted by the receiver. Furthermore information is descriptive. For example the statement 'Newcastle steel-mill's smelter temperature has been set at 2,300 degrees Celsius.' conveys information because it has been enriched by context. The enrichment from data to information is a 'know what and how' procedure that results in an understanding of relationships and patterns. However, information by itself remains descriptive and without additional data or information it cannot be used to predict an event or outcome."
Wildcat2030 wildcat

Are You An Internet Optimist or Pessimist? The Great Debate over Technology's Impact on... - 11 views

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    "The impact of technological change on culture, learning, and morality has long been the subject of intense debate, and every technological revolution brings out a fresh crop of both pessimists and pollyannas. Indeed, a familiar cycle has repeat itself throughout history whenever new modes of production (from mechanized agriculture to assembly-line production), means of transportation (water, rail, road, or air), energy production processes (steam, electric, nuclear), medical breakthroughs (vaccination, surgery, cloning), or communications techniques (telegraph, telephone, radio, television) have appeared on the scene. The cycle goes something like this. A new technology appears. Those who fear the sweeping changes brought about by this technology see a sky that is about to fall. These "techno-pessimists" predict the death of the old order (which, ironically, is often a previous generation's hotly-debated technology that others wanted slowed or stopped). Embracing this new technology, they fear, will result in the overthrow of traditions, beliefs, values, institutions, business models, and much else they hold sacred. The pollyannas, by contrast, look out at the unfolding landscape and see mostly rainbows in the air. Theirs is a rose-colored world in which the technological revolution du jour is seen as improving the general lot of mankind and bringing about a better order. If something has to give, then the old ways be damned! For such "techno-optimists," progress means some norms and institutions must adapt-perhaps even disappear-for society to continue its march forward. Our current Information Revolution is no different. It too has its share of techno-pessimists and techno-optimists. Indeed, before most of us had even heard of the Internet, people were already fighting about it-or at least debating what the rise of the Information Age meant for our culture, society, and economy."
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    I'm definitely an optimist...
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    yes, so am I, but somehow lately I feel it is not enough..
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    I think I fall into his category of 'pragmatic optimism-- "...The sensible middle ground position is "pragmatic optimism": We should embrace the amazing technological changes at work in today's Information Age but do so with a healthy dose of humility and appreciation for the disruptive impact pace and impact of that change.'" There's enough cool new stuff out there to warrant concepting a bright future, but that has to be tempered with the knowledge that nothing is perfect, and humans have a tendency to make good things bad all the time. I always refer back to the shining happy images that were concocted back in the 40's and 50's that predicted a wondrous new future with cars, and highways, and air travel, yet failed to foresee congestion, pollution, and urban sprawl. Yin and Yang in everything, right?
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    I don't believe in dichotomies, thus I am both at the same time. I prepare for both digital nirvana and the end of civilization and collapse of techology at the same time. I am here discussing the future of work with all of you, but I have a disaster kit in the basement and a plan with friends and family where to meet at a fertile plot of land with lots of water (I call it Kurtopia). I would recommend all of you do the same. Of course you must also carry on based on the status quo (don't quit work and cash the retirement funds and buy gold coins), as well as react to any variation in between. Crystal balls are a waste of attention. Consider all scenarios, make plans, then throw them away and react to circumstances as they are presented. Understand that plans are merely insurance policies and come with a cost to attention on the present. They are robust but not optimized. Considering the spectrum from optimistic to pessimistic, if we assume a bell curve distribution of probability (with the stops across the bottom being discrete and independent), I would say these days, for me the bell is flattening, it is less and less likely that the status quo will survive. I would go so far as to say perhaps the bell is inverted. This could be interpreted as a polarization - one of the pessimists positions - except that I don't believe that the person experiencing the optimistic paradigm will necessarily be a different person than the one experiencing the negative, thus don't subscribe to the position that technology will result in a new classism.
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    nice collection of articles listed in this article, I've missed some of them so will go remedy that situation now
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    does Kurtopia need someone to mow the lawn?
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    no, but we do need someone to take our throm-dib-u-lator apart though
Gonzalo San Gil, PhD.

Pirate Party Books Election Victory in Iceland - TorrentFreak - 0 views

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    " Ernesto on October 30, 2016 C: 68 Breaking The Pirate Party in Iceland booked an important victory in the local parliamentary election today, scoring 14.5% of the total vote. While lower than most polls predicted, it marks the first time that a Pirate Party, anywhere in the world, has a serious shot at taking part in a government coalition."
Gonzalo San Gil, PhD.

Pre-crime arrives in the UK: Better make sure your face stays off the crowdsourced watc... - 0 views

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    "You can now be ushered out of a shop, even if you haven't done anything wrong yet. by Sebastian Anthony - Dec 17, 2015 1:15pm CET"
Gonzalo San Gil, PhD.

What's Your Threat Score? | Alternet [Via] - 0 views

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    "it's a computer algorithm that steals your data and calculates your likelihood of risk and threat for the fuzz." [# Via Janet Innes-Kirkwood https://www.linkedin.com/in/janet-innes-kirkwood-23669b64]
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