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Building a Hyper Self-Service, Distributed Tracing and Feedback System for Rule & Machine Learning (ML) Predictions
Find out how the Trust, Identity, Safety, and Security (TISS) team improved machine learning predictions with Archivist, an in-house built solution.
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Our Journey to Continuous Delivery at Grab (Part 2)
Read more about our long awaited piece on the automation work we have made through integration and hermeticity.
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How We Improved Agent Chat Efficiency with Machine Learning
Read to find out how Customer Support Experience's Phoenix live chat team improved agent chat efficiency with machine learning.
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How Grab Leveraged Performance Marketing Automation to Improve Conversion Rates by 30%
Read to find out how Grab's Performance Marketing team leveraged on automation to improve conversion rates.
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One Small Step Closer to Containerising Service Binaries
Learn how Grab is investigating and reducing service binary size for Golang projects.
