Webinar: Make Invisible Factory Work Visible | Velotic

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Webinar: Make Invisible Factory Work Visible

Connecting physical AI to industrial intelligence with Data Time Space, Kepware, and Thingworx

Webinar

Dive into Physical AI with Velotic and Data Time Space

Machines generate data about their performance, but what about the physical work happening between them? Manual assembly steps, material movements, and production handoffs often remain invisible to industrial software, leaving manufacturers with gaps in operational insight. Join Velotic and Data Time Space (DTS) to explore how Physical AI transforms observed factory-floor activity into digital events, connects them through Kepware, and enriches ThingWorx applications with new operational context. Discover how manufacturers can reduce reporting, investigate performance losses, improve process execution, and provide AI assistants with richer evidence to support faster, better-informed decisions.

Why attend?

Unlock a new source of industrial intelligence by connecting the physical world of factory operations with your existing industrial software ecosystem. See how DTS Virtual Sensors capture configured physical events and deliver them through Kepware to ThingWorx, making previously invisible work available to applications your teams already use. Learn how this approach can complement existing production data, strengthen performance investigations, and establish a practical foundation for more context-aware AI—all while keeping privacy, governance, and measurable business outcomes in focus.

You'll learn about:

  • Making physical work digitally visible: How Physical AI captures manual activities, material movements, and production milestones as usable industrial data. 

  • Connecting physical events to industrial systems: How DTS integrates through Kepware to make event data available across ThingWorx applications.

  • Unlocking new operational insights: How physical context can support Connected Work Cell workflows, production performance monitoring, OEE investigations, and continuous improvement. 

  • Enabling more context-aware industrial AI: How combining physical events with machine and production data can help AI assistants investigate operational losses and guide further analysis.

  • Building a practical path to value: How to identify high-impact use cases, address privacy and data governance considerations, and measure success through outcomes such as reduced reporting effort and less time waiting between production steps. 

Thank you for registering

You will receive a webinar invite directly on your calendar. 

Speakers