Cognimatch: Patient Data Cleansing with AI
Discover how Cognimatch revolutionizes patient data management by using AI to ensure accurate and up-to-date records in healthcare systems.
Discover how Cognimatch revolutionizes patient data management by using AI to ensure accurate and up-to-date records in healthcare systems.
Discover how Bridgemeter's predictive monitoring revolutionizes gas cylinder management, reducing costs, optimizing routes, and increasing safety.
The Revolution in Gas Cylinder Management with Intelligent Predictive Monitoring Read More »
Discover how IoT monitoring of light and heavy machinery can reduce operating costs, prevent failures, and increase the efficiency of your operation.
Intelligent Real-Time IIoT Monitoring of Light and Heavy Machinery Read More »
Discover how intelligent generator set monitoring prevents critical failures, reduces costs, and ensures the reliability of your backup power.
Intelligent Predictive Monitoring: The New Era of Generator Set Management Read More »
The fire at the 25 de Março Shopping Center exposed avoidable risks. Discover how intelligent predictive monitoring with IoT can prevent structural fires.
Overload and overheating: discover how Bridgemeter monitors and prevents electrical faults in real time, avoiding structural fires during critical periods.
This confirms the crucial importance of the Bridgemeter in predictive monitoring during the modernization operation of the Lameirão Pumping Station, the largest in the world.
Discover how Bridgecare and its new AI, Cognilink, solve interoperability challenges in healthcare, improving data quality by integrating systems
Healthcare Systems: How to solve the numerous challenges of interoperability? Read More »
The normalization process in sanitation systems that use membranes, such as in reverse osmosis (RO), ultrafiltration (UF), or nanofiltration (NF) units, is essential for monitoring system performance over time and ensuring treatment efficiency. How Normalization Works Normalizing operating data means adjusting operational data (such as flow)
The revolution in the standardization process in sanitation systems Read More »
In the era of Industry 4.0, machine and equipment manufacturers are increasingly aware of the importance of monitoring and predicting problems. This type of information is essential for both the factory maintenance team and the end customer's operational team. Many companies have taken the initiative to create complete lines..
Equipment Manufacturers: Is it worth developing your own monitoring software? Read More »