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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This results in faster response times and reduced network traffic, enhancing the overall efficiency and effectiveness of cloud services. <p>The post Artificial Intelligence in Cloud Computing first appeared on ScaleGrid.</p>

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AI-powered DNS request tracking extends infrastructure observability for high quality network traffic

Dynatrace

To extend Dynatrace diagnostic visibility into network traffic, we’ve added out-of-the-box DNS request tracking to our infrastructure monitoring capabilities. While our competitors only provide generic traffic monitoring without artificial intelligence, Dynatrace automatically analyzes DNS-related anomalies.

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Leveraging ML-Based Anomaly Detection for 4G Networks Optimization

DZone

Artificial intelligence and machine learning already have some impressive use cases for industries like retail, banking, or transportation. All these areas are receiving the same amount of coverage — although cities and towns need more internet traffic, and forests require very little.

Network 130
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Fortifying Networks: Unlocking the Power of ML, AI, and DL for Anomaly Detection

DZone

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. The uses of artificial intelligence are vast and continue to expand across various industries.

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Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

Well-Architected Reviews are conducted by AWS customers and AWS Partner Network (APN) Partners to evaluate architectures to understand how well applications align with the multiple Well-Architected Framework design principles and best practices. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ).

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What is a Distributed Storage System

Scalegrid

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130
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Top Software testing trends to look out for in 2022

Testsigma

In 2016, Google made it clear that since mobile traffic is more than all else, mobile-friendly websites will be prioritised when a user searches on mobile. Another software testing trend to watch out for in 2022 is artificial intelligence(AI) and machine learning(ML). So the trend of mobile web testing came into the picture.