Alternative DAta Management
In today's digital era, the challenge lies in effectively utilizing the vast amounts of data organizations collect. From stakeholder interactions to environmental impact assessments, the data range is extensive.
ADAM (Alternative Data Management) specializes in transforming this data into life-saving solutions. We're not just about data – we're about making a difference. Using advanced Artificial Intelligence, ADAM develops predictive tools aimed at preventing negative events before they occur.
Our approach? Simple yet innovative. We craft risk profiling solutions that create indices. These indices, upon reaching certain alert thresholds, recommend proactive measures. The result is not only incident prevention but also heightened risk awareness.
Risk Profiling Tool
Traditional risk tools offer static assessments, grounded in historical data and standard risk matrices. PRESTO, however, revolutionizes this approach. Our dynamic system doesn't just understand risk; it predicts and prescribes. By analyzing a myriad of factors influencing risk levels, PRESTO shifts from mere prediction to actionable prescription.
At its core, PRESTO focuses on individual Occupational Health and Safety risks, leveraging machine learning to integrate a variety of data points. This includes historical incidents, employee training records, tenure, and even real-time factors like weather conditions, physical wellness (monitored via wearables), and social media activities.
PRESTO's innovation lies in its ability to quantify risk through a numerical index. When risk levels cross a predetermined threshold, it triggers alerts and suggests preventive measures, thereby mitigating high-risk scenarios before they escalate.
Risk-Based Activity Management
AI-Powered Risk Assessment and Action Enablement
Analyzes a wide range of factors, including worker conditions, weather, state of mind tracked through social media, supervisor pressures, organizational safety culture and management systems, financial health, distractions, team interaction, and other relevant elements, to predict and prevent workplace incidents.
Data-Driven Insights: Uncovering Incident Root Cause
Utilizes extensive data analysis, combining structured information from safety incident databases, unstructured text data analysis, and real-time data from wearables and sensors to identify patterns that provide insights into the root causes of incidents.
Identifying Critical Incident Patterns: Insights from Experience
Drawing from extensive incident investigations and partner experience, there is a recognition of specific patterns where the simultaneous occurrence of certain attributes and conditions significantly increases the likelihood of adverse events taking place.
Talk to our Team
Learn more about the range of our services.
Improving safety at work
Harnessing data's power enables us to tackle the persistent issue of workplace fatalities, foster sustainability, and fulfil our mission of using data for life-saving and world-improving purposes.
Benefits include reducing injuries, cutting costs, protecting stock value, improving company culture, and optimizing preventive investments at minimal expense
References & collaborations
DYNAMIC SAFETY RISK PROFILING – A PILOT PROJECT
La profilazione dinamica del rischio sicurezza – resoconto di un progetto pilota in ambito ferroviario
by Mario Foresta Pierluigi Lozi Michele Villa, 2023
WORK ACCIDENT PREVENTION
The power of safety data to prevent work related accidents: empirical evidences from pilot projects in Italy
by M. G. Gnoni, M. Villa, A. Donvito, A. Guglielmi, G. Campo, D. De Merich, D. de Santis, A. Leva, M. Pellicci, 14th International Conference on Applied Human Factors and Ergonomics (AHFE), S. Francisco, USA 2023
OCCUPATIONAL ACCIDENTS IN TUNNEL CONSTRUCTION
Infortuni sul lavoro nel settore delle Gallerie - Analisi dei dati e proposte operative
by Giuseppe CAMPO Diego DE MERICH Daniele DE SANTIS Antonia DONVITO Armando GUGLIELMI Antonio LEVA Mauro PELLICCI Michele VILLA, 2021
An analysis of injury and operational proposals for prevention
ESG ALTERNATIVE SCORE
Reviewing Finscience ESG Alternative Score
by Shanshan Zhu, Antonia Donvito (Finscience); Michele Villa (ADAM), 2020
A first analysis of the ESG score applied to S&P500
STRESS DETECTION AND WEARABLES
Stress detection with wearable devices and Machine Learning
by Christopher Ottesen, 2019
An automated machine learning approach to create a stress monitoring system with data from wearable devices
HOW TO TRACK YOUR HRV
Heart rate variability: A new way to track well-being
by Marcelo Campos, Harward Health Publishing, 2017
Tracking HRV to measure well-being and motivate behavioural change
PERSONAL STRESS AND WORKER SAFETY
Stress and worker safety
by Tom Musick, Safety+Health, 2016
Stress may lead to workplace injuries