About the benefits and potential risks of using cloud-based business-critical applications.
With, of course, a simple and humble proposal on how to both protect your data and maybe create a new revenue stream.
About the benefits and potential risks of using cloud-based business-critical applications.
With, of course, a simple and humble proposal on how to both protect your data and maybe create a new revenue stream.
Well, forecasting the past is a pointless exercise, I assume.
I am restudying statistics, restarting from scratch.
The first time I did it? Few times in school and at the beginning of the university, of course.
Why now? Because I want to understand and review the computations behind some existing models, instead of re-inventing the wheel- with my old models, I needed to understand but not to write computations.
The main difference? Models built on historical data and limited behavioural analysis, vs. models built on historical behaviour and limited data.
Let’s first start with an apology: this article is filled with personal business reminiscences and reading/learning references.
I will start from the end- with a personal joke.
(just 2141 word
)
After the Millennium Bug, a side-effect of 9/11 was the quest for a “silver bullet” in global and personal security.
Biometrics (see the article on Wikipedia to start your quest on what it means).
Pardon my over-simplification: I will consider biometrics, be it the actual measurement of physical, unchangeable characteristics of a human individual, or the profiling [...]
How the addition of WolframAlpha as a search engine could complement Google services to create a new market.
Services? Access and structure knowledge. And a new form of knowledge management.
You want your model to work in reality, and therefore you have to assume that others have their own models.
It is a game. Like playing chess. Or the usual “prisoner’s dilemma”.
From models, we will move to the interaction between models- and between different decision paths within a model.
A down-to-earth introduction to the game theory.
This post is part of a series, first published in May 2009.
When you build a model of reality, you try to reduce complexity.
Reducing complexity means making choices- and reducing the risk of something unexpected affecting the results of your model.
Actually, it means also reducing the number of parameters- and, therefore, making any evolution in your world more predictable.
But reality is not necessarily limited by your definition: and managing the reality within a model requires more that planning beforehand for what you know, in terms of activities or risks.
You have also to identify what is the “normal” way in which your model will react to unexpected changes in the “reality” surrounding your model.
This post is part of a series, first published in May 2009.
If you identify the “risks”, what could affect the conditions that you assumed that could affect your execution of the plan, then you will end up monitoring that:
It is not just the journey that you have to keep in check; it is also the destination.
This post is part of a series, first published in May 2009.
XXI Century libraries and search engines
Thursday, May 21st, 2009XXI century encyclopedias and knowledge processing.
How Google, WolframAlpha, Wikipedia, and Eurostat process a query.
Or: models of knowledge processing and distribution.
Tags: alpha, analyst, artfl, artificial, bbc, bookworm, business, chicaco, citizen, classification, competitive, d' alembert, decimal, diderot, encyclopedie, eu, european, europeana, eurostat, game, gdp, geocities, google, intelligence, journalism, knowledge, library, map, mindmap, model, niche, online, plato, project, republic, serendipity, spot, training, udc, universal, university, web, wikipedia, wolfram
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