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Artificial Intelligence: How to Use Machine Learning in Fire Safety Management

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Artificial Intelligence: How to Use Machine Learning in Fire Safety Management

FIRE PREVENTION COURSE REFRESHER HOURS 81/08 
WEDNESDAY 17 SEPTEMBER 2025
14:45 - 16:45

COURSE ROOM 3

PAV. B – LANE B1

Edited by: Istituto INFORMA

Artificial Intelligence (AI will be analyzed with a balanced view: a technological and cultural evolution that, rather than replacing people, expands our capacity for prevention and decision-making.
The aim of the training course is to demystify AI. We will go beyond the equation “AI=ChatGPT”, retracing its history up to 2025 and distinguishing its two souls:
- Machine Learning – models that learn from data to predict and classify.
- AI Generative – models that create new content (text, images, videos) starting from prompts.
The application part will be dedicated to the creation and practical implementation of two Machine Learning models, developed with no-code AI platforms (therefore without the need to write code), to address two key problems in fire safety:
- Instant detection of obstructions on doors or fire extinguishers: the computer vision model identifies the obstacle in real time and immediately sends an alert to the control personnel.
- Predictive maintenance of fire pumps: a predictive analytics algorithm analyzes sensory logs and signals the probability of failure in advance, allowing targeted interventions before the emergency.

At the end of the course you will have seen how to transform Machine Learning from an abstract concept to an operational tool, capable of concretely raising the level of fire safety in your organization.

Valid as a 2-hour refresher course in accordance with Legislative Decree 81/08, in collaboration with the University of Roma Tre


Speakers: 
Ing. Fabrizio Bolognesi
Aerospace Engineer with over twenty years of experience in sales and organizational management in multinational companies. Safety trainer. Expert in integrating Artificial Intelligence into organizations

€ 30,00 (+IVA)