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Research area

Artificial Intelligence

Predictive Analytics

There’s a way to anticipate the development of future events:
it is called predictive analysis.
This is possible thanks to a variety of statistical techniques
from data mining, predictive modelling, and machine learning,
useful to analyse current and historical facts in order
to make predictions about unknown events.
Predictive models use patterns found in the data to identify risks and opportunities,
uncovering patterns and relationships in both structured and unstructured data.
The goal is to guide decision-making processes
thanks to statistics, anticipating the potential
outcomes or behaviours on the basis of data-grounded
analyses rather than on assumptions.
In detail, predictive analytics provide a predictive score, which is a probability measure that compares
the present conditions against historical figures, in order to ease, for example,
risk assessments, sales forecasting, and crisis management.