Workshop - AI FORUM: presentation of technologies and application cases

Company speeches:
FUTURA BATTERIE - AIENG

Data, batteries and artificial intelligence: understanding the problem to anticipate the solution
Industrial batteries collect a large amount of data during their use: temperatures, work cycles, absorption levels, charging methods and operational behaviours. Data that, if correctly analysed, allows for a better understanding of what happens inside the battery and of the causes of any anomalies or critical issues.
Futura Batterie explains how artificial intelligence can transform this data into concrete knowledge: not simply intervening when a problem arises, but recognising the signals that precede it, understanding the possible causes and supporting the customer with more timely and informed assistance.
The shift is from on-call assistance to assistance before the call: data becomes the tool through which to understand battery behaviour, identify what is not working correctly and, where possible, anticipate the intervention.
A concrete example of how data and artificial intelligence can transform product knowledge into a new service model. FUTURA BATTERIE

Drawing Intelligence: automatic control of technical drawings with AI.
The checking of technical drawings is still largely manual and requires time, expertise and repetitive verifications. In this presentation we will show how to use AI to read 2D drawings, extract dimensions and tolerances, verify the consistency and completeness of information and compare them with the 3D model and PLM data. Real application cases will be presented, with evidence of identified errors, analysis times and results achieved. AIENG