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Sensors can detect a failure within seconds, but identifying its true cause can take much longer. Discover why diagnostic time represents a significant share of the cost of unplanned downtime and which measures can help accelerate the return to production.

AI can create real value in manufacturing, but it isn’t always the best solution for every problem. Discover how to determine whether AI, automation, system integration, or a simpler process improvement is the right approach for your manufacturing challenge.

Manufacturers often have large amounts of data from their ERP systems, equipment, maintenance reports, and quality systems. Yet these data are not automatically usable by artificial intelligence. This article explains how to assess their relevance, consistency, context, and representativeness before starting a project.

Many manufacturing companies want to adopt artificial intelligence but do not know which project to prioritize. This article explains why an AI initiative should begin with a concrete business problem rather than the choice of a tool. It outlines the main questions to examine: expected value, available data, system integration, internal capabilities, and user adoption.

LaserNGN is redefining high-power fiber amplification. Discover how LMA PM Yb-doped fibers enable new levels of beam quality, stability, and performance for advanced laser applications. 

TFLN is transforming integrated photonics. Discover why thin-film lithium niobate is emerging as a leading platform for optical networks, telecommunications, and data centers.

Discover in this blog post how you can ensure your optical medical device meets the extremely high requirements of performance, reliability, and regulatory compliance.

Learn how you can ensure the successful development and manufacturing of a complex medical device in this blog post.