DemystifyingPLM

Equally important in the evolution of the Kernel Wars, the battle for controlling surfaces - and ultimately the automotive body industry as well as the nascent Hollywood Special Effects industry, is the history of surfacing technology. It is not only a tale of mathematical innovation—it is one of br

I have been at pains to prove that all this MCAD history is relevant to us today because the problems it solved were found to be analogous to those required for advancing artificial intelligence. The full mathematical story below.

At the beginning there was only direct modeling on solids. PTC changed the game with parametric modeling when they launched Pro/ENGINEER, but then CATIA V5 was the first to achieve the best of both worlds. What follows in an explanation of what these terms mean and where the MCAD industry is headed.

Sometimes vendors approached the market haphazardly or did not see a technological shift, and sometimes they were too lazy to fix their bugs. This is the story of three dead ends in the history of MCAD.

At the advent of Microsoft Windows stood Jim Meadlock of Intergraph and Jon Hirschtick of Winchester Design (later SolidWorks) that saw the writing on the wall for the death of UNIX workstations. This is the story of how they got there and their very different fates afterwards.

Development of graphics kernels is pretty hard are we'll see a little later, so not everyone could afford to build their own. This is the story of a few that were modular and usable by other applications and some that stayed proprietary to their original company.

The origins of modern CAD technology come from the laboratories of computer science at the University of Cambridge. Let's explore the story.

A graphics kernel is the unsung hero of CAD systems, managing the rendering and manipulation of graphical elements. This chapter explains the DNA of MCAD applications.

Kernel Wars: The Hidden Conflict Behind 3D CAD—and the Hardware That Made AI Possible

inaugural #SharePLMSummit in the superb Bodegas Fundador in (very) sunny Jerez, Spain. It is hard to do a final post, but here is a helpful index listed chronologically according to the agenda

While most manufacturers are familiar with the Bill of Materials (BOM) concept, there’s growing interest in more comprehensive frameworks like the Bill of Information.

delve into the Agentic AI use cases in the context of PLM, providing more detail on the pieces and parts, the AI's role, the system interactions, and how the sources discuss dealing with issues. Here are five key PLM-related use cases discussed, integrating the details provided across the sources.

From San Diego to Seattle, West Coast innovators infused PLM with computing breakthroughs, consumer-focused design thinking, and eventually, cloud transformation that would reshape how the entire world approaches product development.

The central United States—spanning from the Great Lakes to the Gulf Coast and from the Appalachians to the Rockies—has been home to pioneering companies and visionaries who fundamentally transformed how products are designed, engineered, and manufactured.

Product Lifecycle Management (PLM) software has a surprising epicenter: Boston's Route 128, home to many PLM and engineering software giants.

#ArasACE2025 was a fantastic few days in Boston where I got to learn about the Aras Corporation vision, hear from their customers, but especially interview some of the PLM Hall of Fame members such as Peter Schroer, Jim Cashman, Tony Affuso, Martin Eigner, and Peter Billelo amoung many, many others.

Index of My Summaries from Capgemini Engineering Horizons Conference 2025

Building on our previous analysis of current PLM implementation challenges, we project a technological trajectory for the next 3-5 years, identifying key inflection points, technical prerequisites, and strategic implementation pathways.

While the vision of AI agents orchestrating a seamless Digital Thread across enterprise systems is compelling, several readers rightfully pointed out that many organizations are still struggling with fundamental PLM implementation challenges.

Just as we've moved from talking about "Big Data" and "IoT" to "Digital Twin" and "Digital Thread" in recent years, we're now witnessing another transformation with "Agentic AI" taking center stage.

Will an AI really replace all programmers? Building a Full-Stack Application from Scratch with Spring Boot, Java, ImageJ, OpenCV, and DevOps: A Journey with AI

Aras Connect Paris 2024 Field Report

Robust data integration is essential for managing complex operations across systems such as Product Lifecycle Management (PLM), Manufacturing Execution Systems (MES), and Enterprise Resource Planning (ERP).

Presentation 1: Saab's HELIPLE-2 and Federated PLM by Erik Herzog Erik Herzog of Saab Aerospace provided an insightful introduction to the HELIPLE-2 project at Saab, a proposal for industry standards in Product Lifecycle Management (PLM). The session opened with a robust dialogue on enhancing PLM t

Introduction In the ever-evolving landscape of manufacturing in the 21st century, one thing remains constant: the pursuit of efficiency and quality. For decades, manufacturers have strived to optimize their processes, reduce defects, and enhance productivity. Enter Artificial Intelligence (AI), the