Based on reflections from the GEOINNO 2026 conference, this article examines how the geography of AI adoption and diffusion is measured. It shows how different definitions, populations, AI activities, and data sources lead to different outcomes, and why clarity about what is being measured matters.

AI-driven predictive maintenance helps organizations anticipate equipment failures, cut downtime, and extend asset life. This guide explains what these tools do, how they are used, and what to evaluate before choosing a solution. It draws on our Predictive Maintenance ranking to highlight common strengths and meaningful differences across platforms.