The blog that shapes the future of CM and unravels how to achieve process excellence through Enterprise Configuration Management.
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This article discusses the integration of AI in configuration management, highlighting the governance gaps between probabilistic AI outputs and established deterministic standards. While AI-driven tools improve efficiency and data accuracy, concerns arise about the erosion of human expertise and the need for frameworks to validate AI-generated analyses, especially in regulated industries.
This article discusses challenges of AI-assisted product changes, particularly context degradation in large language models as conversations progress. It introduces scaffolding, a structured approach to maintain contextual integrity in change management. By emphasizing task decomposition and context engineering, organizations can improve AI performance and enhance governance in engineering workflows.
This article discusses the integration of AI in configuration management, highlighting the governance gaps between probabilistic AI outputs and established deterministic standards. While AI-driven tools improve efficiency and data accuracy, concerns arise about the erosion of human expertise and the need for frameworks to validate AI-generated analyses, especially in regulated industries.
The article highlights the hidden productivity costs in engineering, estimating a $4.5 million loss due to inefficiencies and information searches that consume 30% of work time. It emphasizes the importance of Configuration Management (CM2) to make engineering decisions visible, preventing downstream issues that drive up costs and impair company margins.
The article emphasizes that product launch delays are often caused by poor data management rather than supply chain issues. With many companies facing significant financial losses due to these delays, it advocates for improved Configuration Management (CM) practices and communication. Proper CM can transform operations into strategic growth tools, enhancing reliability and market responsiveness.
This article discusses the importance of effectively communicating the value of Configuration Management (CM) systems to executives, particularly in the context of preventing costly product recalls. It highlights the financial implications of recalls in the automotive and medical device industries, advocating for CM2 principles as a strategy for risk mitigation and protecting brand value.
The article discusses the challenges of presenting Configuration Management (CM) to executive boards, emphasizing the need to shift the narrative from technical details to business outcomes such as predictable revenue, risk mitigation, and product confidence. It highlights the high costs of bad data and offers strategies to reframe CM as a strategic asset that supports…
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[…] conditions the resulting model can be deployed has not been addressed in published CM guidance. The intersection of machine…
Please check k also the Part re-identification decision tree I proposed in my book: https://martijndullaart-ifdql.wpcomstaging.com/part-re-identification-it-is-not-about-the-tree/ That should cover a lot…
Almost a year later, and I am only now replying. :-). Let’s take the case of early design phases. Many…
[…] Understanding the Impact of Changes introduced the need for the CM Baseline. […]
[…] design intent. This is standard change control documentation. Organizations maintaining rigorous CM baselines already have this […]