Jakub Kaczyński

Jakub Kaczyński

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.

What I’ve done

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.

How I work

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.

Speaking

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.

My latest articles

How to get closer towards Industry 4.0?

How to get closer towards Industry 4.0?

Ensure business growth in the digital age. Dive into #digitaltransformation to find new opportunities, business models, make changes in your organization and bring a new level of value.
Reinforcing your digital adoption strategy, supported by the right AWS cloud strategy, gives you the chance to achieve the expected results.
In our second article in the series, you will find out how to prepare your employees for what may come on the road towards Industry 4.0.
Get tips on approaching the Smart Factory in AWS from the plan through implementation to achieving the first value.

How to implement Industry 4.0 smarter, faster, and easier?

How to implement Industry 4.0 smarter, faster, and easier?

The concept associated with Industry 4.0 is Smart Factory – in other words “intelligent factory”. This type of plant is based on integrated systems with the use of the industrial Internet of Things and new methods of production organization. It is intended to enable a high level of product personalization and run production processes with minimal labor input.
The idea and activities within Smart Industry allow companies to shift market competition from offering a simple product to providing value-added products and competing with process excellence. This applies to cooperation with potential customers from the stage of virtual product design, through simulations, production optimization and real-time monitoring, to after-sales service.