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Quality Sense Podcast With Júlio de Lima - Using ML to Understand Performance Test Results

DZone

In this Quality Sense episode, Federico Toledo has a chat with Júlio de Lima , an engineer at Capco, who recently completed his master’s degree in Electrical Engineering and Computing (Artificial Intelligence) and also co-founded GaroaQA , a meetup group with four locations across Brazil and over 2,000 members. Episode Highlights.

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Is AI Really Important In Software Test Automation?

Testsigma

In layman terms, AI or Artificial intelligence is the area of computer science that focuses on making machines “intelligent.” And by intelligence, it means making the system capable of learning and taking decisions like humans. Performance and Load testing: Generation of load for performance and load testing.

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Observability platform vs. observability tools

Dynatrace

OpenTelemetry provides a standardized method to instrument, generate, collect, and export telemetry data for analysts to understand software performance and behavior. It must provide analysis tools and artificial intelligence to sift through data to identify and integrate what’s most important.