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How to Effectively Mitigate Risk in Construction Using Data, AI, and Machine Learning

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    Description

    The ability to manage risk on construction projects is using key data on practical timeframes. During this session, Justin Levine (head of risk strategy at BuildingConnected) and Pat Keaney (director of BIM 360 Enterprise Products) will share strategies for getting ahead of risk with a recurring and data-driven subcontractor qualification process, artificial intelligence, and machine learning.

    Principaux enseignements

    • Learn how to validate your decisions in choosing the right subcontractors for every project with proper risk analysis
    • Learn how to easily identify field quality and safety risks to bring actionable insights to your project teams
    • Take a deep dive into the features and benefits of both Construction IQ and TradeTapp

    Étiquettes

    Produit
    BIM 360
    BuildingConnected
    Secteurs d'activité
    Civil / Site development contractors
    IT/Software development
    Architecture
    MEP engineering
    Structural engineering
    Thèmes
    Project Execution
    Management
    Machine Learning
    Software Development
    CAD Management & IT