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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 […]

Industrial organizations are no longer asking whether AI belongs in asset-intensive operations; they are asking how to execute. How do we move from fragmented asset data and isolated pilots to repeatable enterprise-wide value? How do we ensure AI is trusted, adopted, and embedded into day-to-day decision-making?  PTCs Orbit was built to answer those questions. As PTC’s latest […]

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 […]

How AWS’s AI-Driven Development Lifecycle (AI-DLC) defines an AI-Native methodology for fully integrated AI capabilities