Posts Tagged ‘model’

"Cloud"-ing data ownership

Wednesday, October 13th, 2010

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.

Forecasting the future and number crunching

Monday, August 9th, 2010

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.

Decisions&Models

Sunday, January 17th, 2010

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 ;) )

Biometrics and you

Saturday, January 2nd, 2010

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 [...]

GMN2009: Metascripting

Thursday, May 21st, 2009

After scripting event-by-event, you will probably identify the need of some structure of reference.

So that each scripting is linked to a common, shared “way of scripting” that you adopt in your own organization (or for your 20-volume “novel”).

But this scripting about scripting, or metascripting, represents the environment that defines, identify, and justify your activities.

When does it make sense to script? How does scripting link with the model that you built for your reality?

And, finally, how do you represent everything together, and evolve your models, including the scripting rules that are contained within the models?

This post is part of a series, first published in May 2009.

XXI Century libraries and search engines

Thursday, May 21st, 2009

XXI century encyclopedias and knowledge processing.

How Google, WolframAlpha, Wikipedia, and Eurostat process a query.

Or: models of knowledge processing and distribution.

Searching & Machine intelligence & Decisions

Tuesday, May 19th, 2009

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.

GMN2009: Games

Monday, May 18th, 2009

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.

GMN2009: Reality

Friday, May 15th, 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.

GMN2009: Risk

Thursday, May 14th, 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:

  • you are using the resources identified if, when, how planned
  • the risks you already decided to keep under control
  • whatever new happens around you that could affect your plan
  • last but not least: that the activity you planned for still makes sense

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.