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Dynatrace to acquire Rookout to deliver code debugging in production environments

Dynatrace

We believe integrating Rookout into the Dynatrace platform and leveraging the artificial intelligence and automation capabilities Dynatrace is known for will accelerate this mission.

Code 216
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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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Will AI Perform Testing?

QAMentor

Many testers often wonder whether AI (Artificial intelligence) will threaten their existence in the future. In this post, we’ve tried to find out will AI be … The post Will AI Perform Testing? appeared first on QA Mentor Blog.

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How to put AI to work on your performance engineering right now

TechBeacon Testing

If you've attended a webinar on artificial intelligence (AI) and machine learning (ML) lately, you've likely heard that they are sweeping the globe, and perhaps you've heard that we'll be able to simply point software at a website, click "go," and get performance test results, all thanks to the magic of AI.

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Web Testing Challenges Testers Will Encounter in 2019

DZone

With the introduction of the agile methodology and transformation into the digital world, the software development lifecycle is changing rapidly and increasing the need for better software testing capabilities.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

Marrying Artificial Intelligence and Automation to Drive Operational Efficiencies by Priyanka Arora, Asha Somayajula, Subarna Gaine, Mastercard. – Application of Artificial Intelligence to operations – as done at Mastercard. Performance is not only about response time by Henrik Rexed, Neotys.

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Modern Dev Teams Are More Efficient Than Ever: Quality Engineering Should Be Too!

DZone

Earlier in my career (though it seems like yesterday), product teams I was a part of did everything “on-prem”, and angst-ridden code compiles took place every few months. We’d burn down bugs using manual QA and push to production after several long nights before taking a long nap and doing it all again next quarter.