Artificial intelligence (AI) and machine learning (ML) help improve the performance of DevOps teams by automating repetitive tasks and eliminating inefficiencies across the SDLC. By using AI, teams can test, code and check software faster and more efficiently. Join this panel of experts to learn how AI and ML are transforming DevOps as they discuss the new uses of AI and ML they anticipate for 2021 and beyond.
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Up Next in Season 1
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Standardizing DevOps - DevOps Unbound...
"Standardizing DevOps - Does it foster or disrupt innovation?" Although everyone has their own definition of DevOps, it all comes down to creating better software faster, empowering development and operations teams, and delivering value to customers. However, there really isn’t a standard approac...
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Observability and Performance Testing...
"The Intersection Between Observability and Performance Testing"
In this episode, Alan Shimel is joined by Christine Yen of Honeycomb, Paul Bruce of Tricentis and Mitch Ashley from ASG/MediOps to discuss how to effectively test the performance of your applications and how bringing observability ...
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What Have We Learned? - DevOps Unboun...
"What Have We Learned?"
The past year plus has brought disruption and opportunity to businesses and software teams all over the world. Change is inevitable, but 2020 was a year of massive change: businesses pivoted, supply chains were disrupted, customer expectations shifted to contactless servi...
