🟢 LIVE WEBINAR - DEC. 10, 2025 | 11 AM ET
Most industrial organizations get this wrong—and it costs them. They push everything to the cloud or force everything to the edge. The truth? You need both. Discover the decision framework leading manufacturers use to determine which AI workloads belong at the edge vs the cloud, backed by real architectures, demos, and cost-performance tradeoffs.
Most manufacturers start with the wrong question: “Should we run our AI in the cloud or at the edge?”
The better question is: “Which AI workloads belong where, and how do we orchestrate between them?”
Because when your architecture is off, everything else is too. Latency kills control. Cloud costs balloon. And when connectivity fails, so does decision-making.
Identify where AI delivers the most value
The advantages and limits of edge vs cloud deployment.
Run AI models locally
From training to inference to real-time decision-making at the edge.
Combine edge & cloud AI
To build hybrid architectures that deliver both speed and scalability.
Deploy AI agents at the edge
To automate actions and workflows on the factory floor.
Other Vendors Say
Reality: Fragmented solutions create fragmented intelligence. No shared context, governance, or scale.
Litmus Delivers
Reality: A scalable, enterprise-grade architecture that supports your entire operation, not just siloed data streams.
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.
