Ten dimensions, each scored 1–5 against defined anchors. Score a named dataset for a named use case, not a dataset in the abstract: the same historian tags may be ready for shift-level yield forecasting and hopelessly unready for per-part defect prediction. These feed into key data management…
The dataset is the deliverable that determines everything downstream. No model recovers from bad data, and almost every serious industrial ML failure is a data failure that was discovered too late. A model can learn a bad measurement just as easily as a good one. To evaluate how ready for…
Here's a template for an ML opportunity charter. This is done once the opportunity map leads us to decide which one is the first model to build; learn more here. Project title A clear working name. Manufacturing problem What currently happens, and why is it a problem? Decision…
The potential applications for machine learning (ML) and artificial intelligence (AI) appear limitless, making it challenging to determine where to begin amidst all the hype surrounding these technologies. And the challenge is real; defining the problem to solve is where all ML journeys begin. This blog will outline some key…
My leverage in AI/ML implementation comes from problem framing, data strategy, domain physics, and the economics of the operating point. Roughly 70% of the value in an industrial ML project sits in these areas. Coding skill exists to let me audit the remaining 30% credibly, not to let me…
Personal lessons on AI and ML implementation for materials, manufacturing, and more The rapid growth of artificial intelligence (AI) and machine learning (ML) is transforming our lives. These technologies are enhancing efficiency and capabilities across various economic activities - even if making videos of dancing cats can be considered an economic…
For most startups, the first handful of hires has a significant impact. Before a human resource team is put in place, founders depend on tools like LinkedIn and Indeed to find the best candidate. Knowing what skills are relevant for professionals and circular businesses may play a crucial role in…
As massive as the environmental impact of construction is, humans will continue to build. In Canada alone, 22 million houses will be required by 2030 to achieve housing affordability for everyone. Mycelium - the "roots" of things like mushrooms, yeasts, and moulds - may be a viable solution to produce…