🟢 LIVE WEBINAR - TUESDAY, SEPT. 8, 2026 | 11 AM ET
Google, Microsoft, AWS, Databricks, and other hyperscalers have transformed what’s possible with enterprise AI. Manufacturers realize the greatest value from those investments when industrial data is prepared for AI through a scalable edge-to-cloud architecture.
Join Litmus experts to learn how model-first design standardizes factory-to-cloud data in a predictable and scalable way, making AI easier to deploy and manage across the enterprise.
PROBLEM
In order to deliver meaningful outcomes, AI needs context. Every industrial supplier and site structures its data differently, leaving AI with meaningless sensor values instead of a clear understanding of operations. Until industrial data is standardized and contextualized, it isn't ready for AI. Building this infrastructure for each site is complex and slow.
Insight
Litmus completes the edge-to-cloud architecture by standardizing industrial data as process models that give AI the consistent context it needs across every manufacturing site.
With that architecture in place, manufacturers can deploy AI centrally, learn from every site, and continuously improve operations without rebuilding data pipelines for every deployment.
What is a process model and how to build one
Litmus transforms raw tags, calculations, and metadata into standardized process models at the point of origin.
How process models enable closed-loop Industrial AI
Litmus Edge and Edge Manager deliver process context into your cloud AI platform of choice, and back to Edge AI models on the floor.
How model-first design powers AI at scale
Litmus Edge model library can deploy KPI calculations like OEE without rebuilding from scratch at every plant, whether you’re operating one site or 100.
How to deliver on cloud AI investments
Litmus Launch takes you from first deployment to enterprise-wide learning and business optimization.
Marc Dekker
Marc helps global manufacturers unlock the full value of their Industrial DataOps investments. With a background in IT and manufacturing, he has led transformation initiatives, solution architecture, and continuous improvement programs across multi-million-dollar projects in Australia, the United States, China, South Korea, and Thailand. He brings deep process and IT expertise combined with proven vendor management and integration skills to deliver measurable business outcomes at scale.
Dave McMorran
With over 30 years in the automation industry, Dave brings expertise in IoT/IIoT, communications, PLC/SCADA, motion and vision systems, and data acquisition. He has worked as a business owner, engineer, and sales leader, helping customers improve visibility, margins, quality, and throughput. Dave partners with end users and OEMs in food & beverage, logistics, life sciences, energy, water/wastewater, mining, and automotive.
