The article discusses the need for a shift in customer focus within the automotive industry, particularly among Western OEMs, to adapt to shorter product life cycles driven by software integration. It emphasizes the importance of agile methodologies in product development, configuration management adjustments, and collaborating across hardware and software engineering to meet evolving customer expectations efficiently.
Recent incidents involving autonomous vehicles highlight safety concerns and the complexities of AI development. As AVs face challenges in predictable behavior, the need for Explainable AI becomes crucial. Ensuring accountability and transparency in AI decision-making can build public trust while addressing the risks associated with testing on public roads.
The article introduces the CM+Agile series and explores how Configuration Management (CM) enhances agility in the automotive sector, particularly among Western OEMs competing against Chinese firms. It emphasizes the need for improved software competencies, communication, and self-organizing teams, while also advocating for efficient change processes and robust documentation practices within an agile framework.
The Essential Guide to Part Re-Identification is now available on Amazon and Apple Book Store. It addresses challenges in Interchangeability and Traceability, guiding readers through effective part re-identification decisions. The book includes practical exercises and insights for optimizing processes and reducing risks, promoting long-term success in product management.
Announcement of the release of my first book, “The Essential Guide to Part Re-Identification,” focusing on Interchangeability and Traceability. The launch is on June 20, 2023, at 3 PM CEST / 9 AM EDT, available in ebook and paperback formats. More details will follow.
The Model-based Ecosystem committee of the IPX Congress seeks participants for a survey examining the impact of model-based approaches on Configuration Management (CM). The survey, consisting of 11 questions, aims to gather insights on risks and opportunities related to CM processes. Results will be shared on LinkedIn and the Future of CM Blog.
OpenAI’s release of GPT-4 enhances Large Language Models (LLMs) capabilities for impact analysis in configuration management. By leveraging LLMs, knowledge graphs can be utilized to reveal implicit relationships and support decision-making during changes. Upcoming tools, like NeoChat, hint at significant advancements in data exploration for engineers and managers.
The emergence of Large Language Models (LLMs) like Bard, ChatGPT, and Ernie Bot has raised questions about their influence on Configuration Management. Potential applications include improving documentation, assisting audits, and enhancing search capabilities. Despite their promise, human oversight remains essential in decision-making and compliance due to accountability concerns surrounding AI.
The first The Future of CM newsletter of 2023 discusses the Circle of Competence, highlighting its importance in decision-making and change assessment in Configuration Management. It emphasizes the need for knowledgeable individuals during impact analysis, while addressing the Dunning-Kruger Effect, which leads to overestimation of one’s expertise. The CM Baseline aids in identifying relevant competencies and managing personnel changes effectively.
I joined Joseph Anderson and Martin Haket on the IpX True North Podcast. This series is about the topics identified in the CM2-500 standard. We will discuss these topics in the context of the Future of Configuration Management. The third topic is about data integrity and operability and the fear of change.