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DTSTART;TZID=Asia/Kolkata:20250505T130000
DTEND;TZID=Asia/Kolkata:20250508T170000
DTSTAMP:20241202T202200
UID:MEC-754c32eb39c6dfd8b7c97531a459937c@biiworld.com
CREATED:20241203
LAST-MODIFIED:20241203
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Ciencia de datos e IA Industrial para Mantenimiento  y Optimización de la Confiabilidad
DESCRIPTION:05 al 08 de May de 2025\n\nEntrega en línea en tiempo real: sesiones de capacitación en vivo en IDIOMA ESPAÑOL\nAsistencia virtual para capacitación de 4 días\nHoras de aprendizaje guiadas – 16\nEstudios de casos, preguntas y respuestas\nAcceso previo al curso: cuestionario previo al evento, conjunto de diapositivas\nde presentación\n\nResumen del curso\nEste curso profundiza en la aplicación de de la ciencia de datos y la IA para optimizar los procesos de Mantenimiento, Reparación y Operación (MRO), con un enfoque particular en la industria. Está diseñado para profesionales en sectores con activos de alto valor, explora diagnósticos, pronósticos, mantenimiento predictivo y análisis avanzado.\nLos temas clave incluyen la integración de gemelos digitales, modelos híbridos y sistemas conscientes del contexto, además de la gestión de eventos de cisne negro y el uso de analítica prescriptiva para la toma de decisiones proactiva.\nPerfil del Entrenador\nDr. Diego Galar es Catedrático en la División de Ingeniería de Operación y Mantenimiento en la Universidad Tecnológica de Luleå (LTU), donde contribuye significativamente a los campos de mantenimiento, confiabilidad y tecnologías industriales.\nAdemás, ejerce como Director de Investigación y Tecnología en Sisteplant (España), especializándose en soluciones de mantenimiento predictivo y monitorizado de la condición.\nConclusiones clave\n\nReconocer la importancia de los diagnósticos y pronósticos en MRO.\nAplicar técnicas de ciencia de datos, aprendizaje automático e IA para el mantenimiento predictivo.\nComprender los eventos de cisne negro y estrategias para mitigarlos.\nDesarrollar habilidades en modelado híbrido, gemelos digitales y diagnósticos basados en contexto.\nImplementar analítica prescriptiva para mejorar la toma de decisiones en MRO.\n\nQuién debe asistir\n\nPara detalles de participación contactar\nMithun Siddartha\nmithun.siddartha@biiworld.com ( mailto:mithun.siddartha@biiworld.com )\n+1 780 851 7197 (Canada)\nLlena los datos a continuación para solicitar tu Brochure\n\nvar gform;gform||(document.addEventListener("gform_main_scripts_loaded",function(){gform.scriptsLoaded=!0}),document.addEventListener("gform/theme/scripts_loaded",function(){gform.themeScriptsLoaded=!0}),window.addEventListener("DOMContentLoaded",function(){gform.domLoaded=!0}),gform={domLoaded:!1,scriptsLoaded:!1,themeScriptsLoaded:!1,isFormEditor:()=>"function"==typeof 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