Predictive Science: leading your company strategy.

Predictive Science consists on computational predictions based on a mathematical model which data generation is observed and calibrated. Normally embedded in the frame of probability theory it is starting to be the main start of business consultancy.

Predictive sciences are a network of scientific disciplines which, using real world observations and information, predict the most likely outcome of future. Most approaches have a statistical basis as the ones used to predict market behaviors, weather or future drugs performances.

Its main focus is concerned with providing critical insights about whether we have the right target.

In Academia Predictive Science is also mainly use to decide appropriate research guidelines and general decision-making.

Statistical basis is the common nowadays focus of future investments. Despite stock markets have been using statistics from the last 100 years the rest of the market, services and product exchange based, have just recently starting using it.

So that, it exist a new type of consultancies in the market focused on clients outside pure investment banking corporations.

Predictive Science presents the company as a company of Data Scientists Who Know Marketing. Analyzing companies Big Data they provide them with predictive algorithmic tools.

A prediction is considered a rigorous statement that is a forecasting a particular behavior under specific conditions. It is in this sense that is have been for some years applied in Urban Planning. Being based on the scientific method it is logically based, meaning that the statement are tested and observed through repeated experiments.

At Caltech, for example, are well-known some groups that apply Predictive Science on very controlled topics as for example The Center for the Predictive Modeling and Simulation of High-Energy Density Dynamic Response of Materials.

Unluckily, in Urban Planning, the timeline has a pretty slow speed and errors in the trials devastating social consequences.

In that sense approaching city new design method from a predictive type of view for the model boundary situations should be just specifically used in some particular scenarios. Being the model that defines the city such a complex system, predictive probability based scenarios can be pretty inaccurate.

To take full advantage of all the data sources an Artificial Intelligent algorithm machine learning based with a more complex approach. Nowadays Artificial Neural Networks or Unsupervised Learning procedures are being used on a daily basis for predicting a huge variety of behaviors.

Norbert Wiener defined cybernetics in 1948 as the scientific study of control and communication in the animal and the machine, to mix our knowledge nowadays about both, is just being a matter of research right now, trying to focus in a less unpredictable future.