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Introducing AI into the Software Development Lifecycle (SDLC) is no longer the challenge. Most engineering organizations already use tools such as GitHub Copilot, AI-powered testing solutions, documentation assistants, and operational support agents. The real challenge today is understanding whether these investments are creating measurable business value. Many organizations have mature Cloud FinOps practices that provide […]

Migrating data to a new PLM system rarely comes down to a simple process of exporting the data, transforming it, and importing it into a new environment. In fact, the most complex projects often begin where standard migration scenarios end. This is particularly true for PLM Carve-Outs & Mergers, where organizations separate part of their […]

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.

Business context For many companies, SaaS has been the default answer to almost every software need. Need a CRM? Buy SaaS. Need customer support? Buy SaaS. Need project management, time tracking, marketing automation, finance workflows, HR service desk, contract management, or knowledge management? Buy SaaS. This approach made sense for years because SaaS software reduced […]

On 12 August 2026, the Packaging and Packaging Waste Regulation (PPWR) will start to apply. For manufacturers, this means new obligations related to packaging, but also something much broader: the need to effectively manage data, documentation, product versions and changes throughout the entire product lifecycle. And this is exactly where regulation meets PLM. A great […]

Artificial intelligence has become impossible to avoid. Every major PLM vendor is adding AI capabilities to its portfolio, analysts are predicting a new wave of productivity, and manufacturers are looking for practical ways to apply AI across engineering, manufacturing and service.  It is tempting to see this as the next chapter of Product Lifecycle Management, but I think the picture is […]

Key takeaways What to expect from this article This article examines why Europe’s competitiveness in dual-use technologies will increasingly depend on connected engineering knowledge rather than production capacity alone. It explains how the Digital Thread functions as an operating model that links requirements, design decisions, manufacturing records, software baselines, certification evidence and operational feedback across […]

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.

AI-driven legacy service migration: a pragmatic, spec-driven approach to modernizing Ruby on Rails monoliths into Java with Spring Boot using LLMs to accelerate analysis, design, testing, and deployment while keeping humans in control of architecture and business logic.

When manufacturers talk about AI, the conversation usually starts with use cases and ends with integration complexity.When manufacturers talk about AI, the conversation usually starts with use cases and ends with integration complexity. In this interview, Adam Gąsiorek, CTO of TT PSC, and Ayush Tiwari from Velotic cut through the noise, sharing how a semiconductor manufacturer turned ignored process signals into a quality breakthrough, and why a manufacturing co-pilot can be built faster than most teams expect.

The automotive industry produces a very broad portfolio of products, ranging from simple machined parts to complex assemblies whose final properties depend as much on materials engineering and manufacturing process control as on geometry design.  Introduction  Manufacturing is commonly divided into two paradigms: discrete and process manufacturing. In discrete manufacturing, products are built as countable units that can […]