One of the main features of the digital age we are in is the enormous availability of data (Big Data), from which it is often difficult, if not impossible, to extract useful information using traditional techniques.

However, today, thanks in part to increased computing and storage capacity, it is possible to use Machine Learning techniques to process huge amounts of data and extract hidden information (inaccessible with traditional techniques), valuable for improving the decision-making process and making it more effective for any organisation.

Depending on the amount of data available, it is possible to use both more traditional Business Intelligence techniques, in the case of limited datasets (which let us highlight trends, understand what happened and why), and Big Data analytics techniques based on Machine Learning, in the case of large volumes of data, which let us identify patterns and correlations between data that cannot be picked up by humans, and make future forecasts.

Services provided

• Predictive Maintenance
• Image Analysis (Computer Vision)
• Business Intelligence
• Big Data Analysis

Methodologies/techniques

• Machine Learning
• Statistical techniques

Tool

• Microsoft Azure Machine Learning
• TensorFlow
• Python
• Microsoft PowerBI