As AI increase in popularity, it becomes important to optimize industrial data ontologies for both humans and computers.
Lifecycle analysis is a critical tool when designing any product. This is especially true when designing with sustainability in mind,…
Designing a successful sustainable product these days is frequently a careful balancing act, navigating trade-offs between environmental impact and other…
Make “data the new oil” can be a dangerous analogy for CEOs championing AI efforts. But one important step turns this hallucination into reality.
Digitalization is burying the process industry under a mountain of data. Industry leaders must learn how ontologies make sense of it and transform it into revenue.
As industries are confronted with the limits of the take-make-waste model, circularity is emerging as a defining strategy for the…
As artificial intelligence (AI) continues to advance in development and capability, industries of all kinds are looking for ways to…
AI is not a one size fits all solution for approaching industrial problems, rather, it’s important to tailor different models…
If the only constant is change, then AI represents the next big change for many tools and industries. High-level synthesis,…
