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In the news
- How can imaging data guide quality assurance and practical improvement? Join Qaelum for From Monitoring to Action: Quality Assurance in Mammography and CT, with two speakers sharing examples from their work: • Elizabeth Keavey, Principal Medical Physicist at BreastCheck, National Screening Service, Ireland, will explore remote quality monitoring and dosimetry in breast screening. • Hannah Renshall, Trainee Clinical Scientist at Betsi Cadwaladr University Health Board, UK, will discuss CT clinical audits using Qaelum DOSE and
- Events | Taking fiber optic monitoring expertise to Istanbul! 💧🌍 We're excited to share that DALI will be participating in the IWA Digital Water Summit 2026, bringing its expertise in smart pipeline monitoring to the international water community. International Water Association 🎤 Michiel Van Hooreweder, Sales Manager at DALI, will be speaking during the technical session on Smart Monitoring Technologies for Water and Wastewater Networks. DALI uses it expertise to help water utilities detect leaks, gain continuous pipeline
- 𝗞𝗬𝗧𝗢𝗦 𝗩𝗶𝘀𝗶𝘁𝘀 𝗡𝗮𝗺 𝗠𝘆 𝗔𝗾𝘂𝗮𝘁𝗶𝗰 𝗦𝗲𝗲𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗖𝗼., 𝗟𝘁𝗱. With over 15 years of experience in the aquaculture industry, Nam My focuses on investing in technology and improving production processes to enhance shrimp seed quality. Beyond supplying shrimp seed, the company also supports shrimp farmers through knowledge sharing and technical assistance. During the visit, KYTOS had the opportunity to learn more about the actual conditions at Nam My’s hatchery and discuss solutions to improve water
- Had a great and insightful meeting with Kim Anastasiu from Datadog! We had an interesting discussion around the growing importance of AI Observability, Application Performance Monitoring (APM), Reliability, and Security in modern AI-powered applications. Through my work at Bizaffix and Bluexech AI, building AI-powered solutions, these insights are especially valuable We also explored how Datadog helps teams with proactive monitoring, anomaly detection, distributed tracing, troubleshooting, and maintaining reliable and secure AI
- OpenAI's Blueprint for Detecting AI Misalignment As AI models become more capable, detecting when their behavior departs from intended actions is critical. OpenAI has unveiled its multi-layered monitoring system designed to catch frontier model misalignment during training, evaluation, and deployment. Layered Defense and Real-World Impact The system uses a tiered architecture ranging from lightweight activation probes to model-based reviewers and investigative agents. This approach has already proven effective. During a recent
- In older, non-digitised #Hydropower plants, waiting for a mechanical fault to become obvious means costly, unscheduled downtime. But upgrading to #PredictiveMaintenance doesn't require replacing the entire infrastructure.💡⚡️ In the 𝐃𝐢-𝐇𝐲𝐝𝐫𝐨 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐇𝐚𝐧𝐝𝐛𝐨𝐨𝐤, we showcase our direct experience in deploying Structural Health Monitoring (SHM) in hydropower plants.📖🔍 The DH Handbook breaks down how our pilot sites installed low-cost different sensors and AI-driven models onto equipment and
- Last Tuesday, we welcomed Anne-Catherine Dalcq, Walloon Minister for Agriculture, Rural Affairs, Forestry and Nature, at Sourse.eu . What struck me most were her questions. Not only about what the technology can do, but about how it can help society evolve, and where we should set the cursor with these new tools. This is a question we have been asking ourselves from the start. Monitoring thousands of kilometers of pipelines has taught us to spot a risk before it becomes an emergency. Applying the same approach to our forests,
- Vos lignes de production génèrent des données. Les exploitez-vous vraiment ? Cadences, produits fabriqués, temps de cycle des robots… Chaque ligne produit en continu des informations précieuses. Trop souvent, elles restent inexploitées. Chez Automation & Services, nous mettons en place des solutions de monitoring qui collectent ces données directement sur vos lignes et les font remonter dans votre ERP. Les calculs se font automatiquement, sans ressaisie, et vos équipes disposent d'indicateurs fiables pour piloter la production.
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