Industrial Portfolio Director
Transition Technologies PSC S.A.
Most factories don’t have a technology problem. They have a data problem dressed up as a technology problem – and a market full of vendors happy to sell them the wrong fix.
I’m Jakub Kaczyński, Industrial Portfolio Director in the Digital Manufacturing practice at TT PSC, a global industrial solutions integrator. With 15 years in the field and a technical background, I’ve spent enough time close to the machines, the historians and the integration layer to know where Industry 4.0 projects actually break – usually not where the slide deck promised.
50+ delivered projects, most inside larger digital transformation programs where the stakes and the politics are real, spanning the US, Europe and Asia – primarily in Europe. I stay deliberately vendor-agnostic: I’ve deployed the major industrial platforms (ThingWorx, Kepware, Ignition and Litmus) across the stack, from OT connectivity and SCADA through MES and IIoT, and I pick the one that fits the plant, not the one with the best reseller margin. My sharpest work sits in the data layer itself: building a unified namespace so OT and IT finally speak the same language, then turning that clean, contextualized data into the analytics and decisions people actually act on.
One example: in a plant producing over a thousand tonnes of sweets a week, I led the team behind a recipe management solution built on a unified namespace – owning the high-level architecture and standardizing formulas so the same product runs the same way on every line. The approach is now being discussed as a template for the company’s other plants.
In the last few years my work has concentrated in food & beverage: high-mix lines, tight margins, OEE that has to move this quarter, not next roadmap.
End to end, in that order: define the business case first (if the numbers don’t add up, we stop), then choose the technology, then design the architecture, then support the rollout. I’d rather kill a project at the business-case stage than watch it die expensively six months after go-live. Pragmatic, realistic, and allergic to vendor hype.
Turning shop-floor data into decisions is a recurring theme in my talks. Recent ones: „From Data to Decisions” at Smart Manufacturing Week 2026, „From Machine to Decision: Digital Transformation Step by Step” at IndustryX0 2025, and „How Smart Maintenance Drives Strategic Success” at Robotics Warsaw 2025.
Got a specific data or connectivity problem and want a straight answer? Reach out.
Industry 4.0 use cases pay off when each project targets one production problem and one KPI. This guide covers 13 proven use cases with real examples, from OEE monitoring to predictive maintenance at Finsa, Lacroix and ESAB.
Digital transformation in manufacturing stalls when the OT/IT foundation is skipped. This roadmap sets out five phases, from assessment and connectivity to AI-driven scale, with realistic timelines, budget bands and the mistakes to avoid.
NIS2 gives you 24 hours to report an incident that industrial networks often take weeks to detect. We look at which obligations reach control systems, who inside the organisation should own them, and where transposition currently stands across Europe.
The IoT Gateway plug-in streams plant floor data to any MQTT broker or REST endpoint, but AWS and Azure each enforce their own rules. This guide covers the exact agent settings for both, the errors that cause most failed connections, and four architecture patterns that hold up in production.
A pilot that works with 50 tags stalls at 50,000. What industrial connectivity actually is, why digital programmes fail at the data layer, and how to deploy it right.
In September 2025, Jaguar Land Rover shut down production across the UK, Slovakia, and Brazil for five weeks after a ransomware attack. Reuters reported losses of around £50 million a week, with 33,000 staff sent home and hundreds of suppliers unable to operate. The intrusion started in IT, but what stopped production was how deeply […]
A typical plant runs controllers, SCADA, a historian and an MES from different vendors, and every connection is a custom integration. OPC UA replaces that patchwork with one secure, self-describing interface between OT and IT. This guide explains what OPC UA is, how it works, how its security model holds up to audit, and how Kepware implements it in production.
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TPG Capital has acquired PTC’s entire IIoT portfolio including ThingWorx and Kepware. Raising understandable questions for manufacturers relying on these platforms. Here’s a quick, clear explanation of what happened and what this change truly means for your operations
Energy costs are no longer a fixed overhead in manufacturing. This guide explains what an Energy Management System is, how it works in a manufacturing environment, and why real-time energy data is becoming critical for cost control, operational efficiency, and compliance.
Unified Namespace with MQTT provides a scalable, event-driven foundation for industrial OT/IT data integration.
This article explains proven MQTT patterns, topic design, state management, and common pitfalls when building a production-ready UNS.