AI/ML Data Readiness in Manufacturing
Prepare Your Data at the Source — Not After the Fact.
AI/ML Data Readiness in Manufacturing
The journey toward AI/ML or predictive analytics often runs into an invisible wall: while data may be flowing, it’s not usable. In many manufacturing environments, operational data is raw, siloed, inconsistent, or poorly labeled — and that makes it unusable for machine learning, advanced analytics, or even effective dashboards.
This is the core of the problem: data exists, but it’s not AI/ML ready.
With MIStudio, you can create dashboards that connect directly to data sources across your operation: PLCs, OPC UA servers, MES systems, SQL databases, MQTT brokers, and more. Instead of waiting for reports or bouncing between software tools, everyone sees the same up-to-date view of what’s happening — whether on the plant floor, in a control room, or at a corporate level.
These dashboards aren’t one-size-fits-all.
Often, teams collect machine-level values, alarms, or logs without context:
- What process does this belong to?
- What product was running at the time?
- What does this value mean in relation to other systems?
- Is this raw or normalized data?
Machine learning models and analytics tools require more than access — they need structure, consistency, and meaning. That's where MIStudio and MIX step in.
How MIStudio + MIX Help
Often, teams collect machine-level values, alarms, or logs without context:
Unlike traditional SCADA or data historians, MIStudio focuses on making data shareable and reusable across teams — not just monitored locally. And because it’s designed for non-programmers, you can build these structured data flows with simple scripting or no code at all.
Once deployed with MIX, these structured, contextualized data pipelines run 24/7 — on-prem, at the edge, or in the cloud — making the data continuously available to data scientists, analytics teams, or cloud services.
Laying the Groundwork for AI/ML — and Data Mesh
This approach also supports the principles of data mesh, where data is decentralized, domain-owned, and published as a product. By enabling OT teams to create structured, labeled, and contextualized datasets, MIStudio helps you take a critical first step: making your operational data usable by other domains — whether it’s IT, data science, or external analytics platforms.
You don’t need to implement machine learning overnight — but you do need to start building the foundation now. The sooner your data is structured, contextualized, and accessible, the sooner it becomes a strategic asset — not just a byproduct of your operations.
ErgoTech Products are DX Ready
- info@ergotech.com