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Upcoming Events

Thu 05 Feb
Tue 10 Feb10 Feb 2026, 12:00 GMT – 12 Feb 2026, 16:00 GMTVirtual EventMaster Quantitative Risk Analysis (QRA) and learn how to apply these principles using Safran Risk. Join us for an immersive 3-day, 4-hours-per-day session. Requirements: Safran Risk license installed (trial version is acceptable). Don't miss this opportunity!
18 Feb 2026, 14:00 – 16:30 GMTRemoteLearn how to integrate Generative AI into Monte Carlo Simulation to build smarter, faster, and more understandable risk models. This 2.5-hour session covers key use cases like selecting distributions, creating risk registers, and communicating results effectively.
Thu 19 Feb19 Feb 2026, 11:00 – 12:00 GMT-5Virtual EventThis is a 1-hour FREE ModelRisk webinar that will focus on transforming your existing Excel model into a powerful risk analysis model using ModelRisk. Learn how to seamlessly integrate probability distributions, enhance model accuracy, and make better-informed decisions with uncertainty modeling. 🚀
Fri 20 Feb20 Feb 2026, 11:00 – 12:00 GMT-5Virtual EventDiscover how to move beyond spreadsheets by using Vose ModelRisk’s RDK and DLL to automate Monte Carlo Simulation workflows. We will demonstrate how to build simple applications that embed ModelRisk logic into scalable, reusable decision-support tools.
Thu 05 Mar05 Mar 2026, 10:00 – 11:00 GMT-5Virtual EventWebinar introductorio para principiantes e intermedios donde se muestra cómo los conceptos básicos de QRA se implementan en Safran Risk mediante un modelo simple del sector Energía, incorporando incertidumbre en costo y cronograma y construyendo un registro de riesgos básico .
Tue 17 Mar17 Mar 2026, 12:00 GMT – 19 Mar 2026, 16:00 GMTVirtual EventMaster Quantitative Risk Analysis (QRA) and learn how to apply these principles using Safran Risk. Join us for an immersive 3-day, 4-hours-per-day session. Requirements: Safran Risk license installed (trial version is acceptable). Don't miss this opportunity!
23 Apr 2026, 10:00 – 12:30 GMT-5RemoteLearn how to integrate Generative AI into Monte Carlo Simulation to build smarter, faster, and more understandable risk models. This 2.5-hour session covers key use cases like selecting distributions, creating risk registers, and communicating results effectively.
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