Research Results

Service ML-OP pour GenAISafety en Santé et Sécurité du Travail (SST) Contexte : L'essor de l'IA générative (GenAI) en santé et sécurité du travail (SST) ouvre des opportunités majeures pour améliorer la prévention des risques, l’anticipation des incidents et l’analyse des environnements de travail. Toutefois, ces modèles doivent être fiables, explicables et sécurisés pour éviter des erreurs qui pourraient compromettre la sécurité des employés ou mener à des accidents. Le service ML-OP GenAISafety SST vise à offrir une solution robuste permettant de surveiller, valider et expliquer les décisions des modèles GenAI appliqués aux systèmes de prévention, de formation et de surveillance en entreprise. 🚀 Développement d'un Service ML-OP pour GenAISafety en Santé et Sécurité du Travail (SST) Contexte : L'essor de l'IA générative (GenAI) en santé et sécurité du travail (SST) ouvre des opportunités majeures pour améliorer la prévention des risques, l’anticipation des incidents et l’analyse des environnements de travail. Toutefois, ces modèles doivent être fiables, explicables et sécurisés pour éviter des erreurs qui pourraient compromettre la sécurité des employés ou mener à des accidents. Le service ML-OP GenAISafety SST vise à offrir une solution robuste permettant de surveiller, valider et expliquer les décisions des modèles GenAI appliqués aux systèmes de prévention, de formation et de surveillance en entreprise. 1. Opportunités du Service ML-OP pour GenAISafety en SST Opportunité Description Impact sur la Santé et Sécurité au Travail (SST) Détection de Dérives Comportementales (Drift) Analyse des modèles IA prédictifs pour surveiller l’évolution des comportements à risque. Prévention proactive des accidents grâce à l'alerte des dérives de comportement détectées. Validation Automatique des Protocoles SST Automatisation de la vérification des protocoles IA générés pour les environnements de travail. Conformité continue avec les réglementations SST et réduction des erreurs humaines. Surveillance des Zones Dangereuses Utilisation d’IA pour surveiller en temps réel les zones à risque (chantiers, usines). Réduction des incidents grâce à des alertes précoces sur les comportements non sécurisés. Audit des Modèles Prédictifs de Prévention Validation automatique des modèles prédictifs détectant les anomalies avant qu'un accident survienne. Amélioration de la fiabilité des outils de prévention et anticipation des pannes de sécurité. Explicabilité (XAI) pour la Forma

Activities: Collaborate with HSE leaders to define AI goals and success metrics. Develop a roadmap for AI implementation, including timelines and milestones. Identify specific AI technologies and solutions suitable for the organization. Outcome: A comprehensive AI strategy document customized to the organization's HSE needs.

Unlock the potential of artificial intelligence in occupational health and safety (OHS) with our comprehensive course focused on Custom Generative Pre-trained Transformers (GPTs). This tailored program is perfect for safety professionals eager to leverage AI without getting bogged down by technical details. Guided by Mario Deshaies, a seasoned AI strategist with extensive experience in HSE, you’ll explore the advanced capabilities of ChatGPT-4. Our practical learning approach ensures that complex concepts are accessible to all, regardless of your technical background. Through concise lessons and hands-on projects, you’ll learn how to apply ChatGPT-4 in real-world HSE scenarios, enhancing safety protocols and compliance measures. This course is your gateway to mastering AI technology and utilizing it to foster a safer and more efficient work environment. Content: Module 1 - GPT Foundations Lesson 1: Welcome & Preview (1:47) Lesson 2: What is GPT and How Does It Work? (2:28) Lesson 3: The Importance of Your Prompt & Data in HSE (5:58) Module 2 - How to Create a Custom GPT for HSE Lesson 1: How to Create a Custom GPT for HSE (9:55) Lesson 2: Building a Custom GPT for Safety Inspections - Example 1 (9:52) Lesson 3: Building a Custom GPT for Hazard Analysis - Example 2 (21:16) Lesson 4: Building a Custom GPT for Incident Reporting - Example 3 (16:21) Lesson 5: Ensuring Custom GPT Security in HSE Applications (6:18) Lesson 6: How to Use Multiple GPTs for Comprehensive Safety Management (2:35) Module 3 - GPT Monetization and The Future of Gen-AI in HSE Lesson 1: Identifying Use Cases and Value Propositions of GPT in HSE (13:55) Lesson 2: How to Monetize Your Custom GPT in HSE (9:52) Lesson 3: The Future of Generative AI in Occupational Health and Safety (11:09) Requirements: Prior experience with AI or programming is not required; however, an interest in learning about artificial intelligence and its application in HSE is essential! Who This Course is For: This course is designed for safety professionals, HSE managers, compliance officers, and anyone looking to enhance their workflow and safety measures through the use of custom GPTs. Whether you’re an industry expert or a newcomer with a keen interest in learning, this course is tailored just for you. Instructor: Mario Deshaies Guided by Mario Deshaies, an experienced AI strategist and mentor with extensive expertise in integrating AI into OHS processes.

Ce que vous apprendrez : Comprendre les principes fondamentaux de l'IA générative et son application à la sécurité au travail. Explorer des cas d'utilisation de l'IA générative pour la détection proactive des risques, en générant des scénarios de danger potentiels. Analyser les défis et opportunités de l'application de l'IA générative dans le domaine de la santé, sécurité et environnement (SST), notamment pour la création de modèles prédictifs de sécurité.

Description: This service uses computer vision to monitor work areas in real-time. By analyzing video streams, we can identify dangerous behaviors and signal immediate risks. Applications: Video surveillance of workplaces Detection of anomalies or risky behaviors Automatic alerts for dangerous situations Technologies: Computer Vision, Detection Algorithms, Video Analysis

Prompt Engineering for Industry HSE Service: Industry-Specific Prompt Design Description: Develop effective prompts tailored to industry-specific HSE scenarios. Collaborate with industry experts to ensure prompts accurately reflect real-world safety situations and challenges. Test and refine prompts to optimize AI responses and ensure relevance to HSE applications. Outcome: Customized prompts that guide AI models to produce accurate and actionable outputs for industry-specific HSE needs.

HSE Challenge Identification Service: Industry-Specific HSE Needs Analysis Description: Collaborate with stakeholders to conduct a comprehensive analysis of current HSE practices and challenges within the industry. Identify specific safety concerns and opportunities for AI integration. Facilitate workshops and interviews with key personnel to gather insights and define clear objectives. Outcome: A detailed problem statement tailored to industry-specific HSE challenges and opportunities.

Description: Collaborate with stakeholders to develop a strategic roadmap for AI integration in HSE practices. Define clear milestones, timelines, and resource requirements. Identify potential risks and mitigation strategies to ensure smooth implementation. Outcome: A strategic and actionable roadmap for implementing AI in industry-specific HSE practices.

Description: Adjust model hyperparameters to enhance performance in industry-specific HSE tasks. Conduct experiments to determine the optimal settings for various HSE applications. Continuously monitor and refine model parameters to maintain high performance and accuracy. Outcome: Optimized AI models with hyperparameters fine-tuned for specific industry HSE applications, ensuring maximum efficiency and reliability.

Description: Conduct workshops to educate HSE teams on AI fundamentals and its applications in their specific industry. Provide hands-on training on data handling, AI model usage, and interpreting AI outputs. Develop a curriculum tailored to the industry’s unique HSE requirements and AI use cases. Outcome: Enhanced AI literacy and readiness among HSE professionals, ensuring they are well-prepared to work with AI technologies.

Description: Provide comprehensive training sessions for employees to ensure effective use of GenAI applications. Offer ongoing technical support and troubleshooting to address any issues that arise post-deployment. Develop training materials and user guides tailored to the specific industry and GenAI application. Outcome: Well-trained staff and continuous support, ensuring smooth operation and user satisfaction with the GenAI application.

Activities: Provide technical support for integrating AI technologies with current HSE systems. Develop change management plans to address workforce adaptation and training needs. Monitor and evaluate the integration process, making necessary adjustments. Outcome: Successful integration of AI solutions with minimal disruption to operations.