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Healthcare providers can provide remote monitoring of patient health—improving patient care. Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning.
In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.
Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail. Healthcare: Calibrating and servicing medical equipment to ensure accuracy and compliance with health regulations. It is proactive but doesn’t use advanced data analytics.
With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.
Learn how the ScepterAir data fusion platform uses advanced AWS Cloud services to analyze and extract insights from ground-based, airborne, and in-orbit data sources with low latency. Tracey Reid, Vice President, Tokio Marine Highland Javier de la Torre, Founder & CSO, CARTO Marco Masciola, Sr.
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