November 2, 2025
November 2, 2025
If you’re leading digital transformation or part of an OT/IT integration team, then there are four core pillars you likely (should) care about.
→ Seamless OT/IT Integration
→ Unified Data Accessibility
→ Scalable Data Architecture
→ High Data Availability
Let’s break down what these mean and why they are hard to realize in most traditional manufacturing environments.
You aspire to bring legacy equipment into your digital ecosystem and deploy new tools without weeks of custom engineering every time something changes.
But in reality?
→ Every new integration turns into a project.
→ Every change adds complexity.
→ And every delay slows down innovation.
If adding a new sensor or machine requires weeks of effort, you’re not accelerating value, you’re adding friction. And I’d bet your team doesn’t have the time (or budget) for that.
You wish to collect, standardize, and contextualize data from across your OT and IT systems, and make it accessible in real-time to your operations, analytics, and AI teams.
But what you’re facing instead:
→ Data silos
→ Inconsistent formats
→ Lack of context
Without unified, accessible data, you’re not building smart operations, you’re building isolated islands of insight.
You need to rapidly scale innovative capabilities from one line to another, or from one site to many with minimal effort.
But with rigid, inflexible systems:
→ Even your best pilot projects stall out.
→ Rolling out a digital solution on one line doesn’t guarantee it’ll work on the next.
→ Every scale-up takes too much effort and time
True scalability isn’t just about adding more tech, it’s about having an architecture that adapts as fast as your needs evolve.
Your teams rely on live data to run operations, make decisions, and stay compliant. So, when data pipelines go down, visibility vanishes.
But what you are facing instead:
→ Data Loss
→ High Latency.
→ Connectivity Issues

Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.
Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.