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Time-Series Forecasting With Recurrent Neural Networks

DZone

Time-series forecasting is essential in various domains, such as finance, healthcare, and logistics. This is where Recurrent Neural Networks (RNNs) offer an edge, providing a powerful tool for modeling complex time-dependent phenomena.

Network 173
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Healthcare. For example, causal AI can help public health officials better understand the effects of environmental factors, healthcare policies, and social factors on health outcomes.

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Citrix monitoring with Dynatrace: Easily observe your entire Citrix ecosystem

Dynatrace

Citrix is critical infrastructure For businesses operating in industries with strict regulations, such as healthcare, banking, or government, Citrix virtual apps and virtual desktops are essential for simplified infrastructure management, secure application delivery, and compliance requirements. Or (less likely) with F5 BigIP load balancer.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. If you have mirroring enabled, you must increase your segment hosts in increments of at least two. So, how is this all coordinated? Greenplum Advantages. Machine Learning.

Big Data 321
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Five observability predictions for 2025

Dynatrace

In healthcare , observability could predict system slowdowns during critical periods, ensuring seamless patient care. Consider these examples: A logistics company could leverage preventive observability to identify potential bottlenecks in supply chains and reroute shipments before delays occur.

Energy 241
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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency. Some models, like deep learning or neural network-based models, are dense and complex, making them difficult to interpret.

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End-to-end observability provides deep insights into user behavior for British Columbia Lottery Corporation

Dynatrace

BCLC is a government ministry corporation that provides lottery, casino, and sports betting services to benefit the province’s healthcare, education, and community programs. For the British Columbia Lottery Corporation (BCLC), end-to-end observability has become imperative for understanding and quickly responding to customer experiences.