Microsoft Correlation

The supervisor can derive from now, the the Employee has apparently always Monday morning a performance problem and as a detective so instruct to take the privacy of the employee under the magnifying glass. The intelligence services in the large pool of data using the correlation and the AI (artificial intelligence) are looking for exactly such contexts.But what precisely do these two systems work? What is correlation and what does it say? Correlate two values with each other, one speaks of change in relation to each other. Here we distinguish between positive and negative correlation. A positive correlation with the value 1, the two compared data types change proportional to each other. They are completely interdependent.

In practice, you only rarely encounter such correlations. Typically, data types vary in a dependency on each other, but not in equal strength. A negative correlation with a value close to-1 the two types of data vary inversely proportional to each other. Also here one speaks of a total Depending on which very rarely occurs in practice. Values between – 0.7 and 0.9 are more likely. The context is also easy to derive the data types. The larger the data type is A smaller data type is B.

In addition, are but the most comparisons between 2 data types without striking findings and look more so. Now so-called avatars can be formed precisely for such interactions between the data types. That means every one of us has a virtual avatar with his name which is empty. The whole thing is now felt with name, address, education, occupation, age marital status and have developed a specific image of this person. And with every single record or even purchasing the magnifying glass will be sharper and the mail service from you and your avatar picture becomes clearer. In addition to this more classical analysis method the AI has evolved during the last decades always. These aims it programmes and structures to develop that are self-learning and continuously evolve. Such methods are then the situation chaotic, vast amounts of data to detect patterns and irregular interactions to determine. But what are the possible consequences? The intelligence services are always better in your forecasts, what only once will increase the security in our world. On the other side are but also some people in the authorities, maybe even for months watched, without that they somewhat have come guilty let. The drawbacks of wrong forecasts of forecast services are then. Because 100% statements will be impossible in the future. Much more interesting but not the crime but the economic interests are here. Here yet another point must be illuminated, because the provider to Google, Facebook, Microsoft, etc. not only data for the intelligence services available but also so-called backdoors.