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  • Webinar Replay: Scaling Industrial AI with Litmus and Google Distributed Cloud

    Manufacturers are under pressure to do more with industrial data—but scaling AI across plants remains a challenge when infrastructure, integrations, and data models vary from site to site.
     
    Join Litmus and Google Cloud for a practical webinar on how to establish a consistent edge-to-cloud foundation for industrial AI.
     
    In this session, we explore how Litmus’ new deployment architecture—built by integrating Manufacturing Connect with Google Distributed Cloud Connected—enables organizations to collect, contextualize, and deliver OT data in a standardized way for analytics and AI services like BigQuery, Vertex AI, and Manufacturing Data Engine.
     
    You’ll learn how to move beyond isolated pilots and scale industrial AI initiatives across global operations with a repeatable, production-ready architecture.
     
    What You’ll Learn

    • How to standardize OT data collection and contextualization across sites
    • How to build a consistent edge-to-cloud architecture using Google Distributed Cloud
    • How to deliver data to AI and analytics platforms like BigQuery and Vertex AI
    • How to move from pilot projects to scalable, enterprise-wide AI deployments
    • How use cases like predictive maintenance, energy optimization, and quality analytics are implemented at scale
    Scaling Industrial AI with Litmus and Google Distributed Cloud

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