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Engineering · DesignChimera Sandbox: A scalable experimentation and development platform for Notebook services
Unleashing the potential of machine learning (ML) with Grab's Chimera Sandbox. This scalable platform facilitates rapid development and experimentation of ML solutions, offering deep integration with Large Language Models and a variety of compute instances. Discover how it's driving AI innovation at Grab.
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Engineering · DesignHow we improved translation experience with cost efficiency
Dive into our journey of improving in-app translation experience amidst a post-COVID tourism boom. Discover how we overcame language detection hurdles, crafted an in-house translation model, and implemented stringent quality checks, all while maintaining cost efficiency.
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Engineering · Data ScienceLLM-powered data classification for data entities at scale
With the advent of the Large Language Model (LLM), new possibilities dawned for metadata generation and sensitive data identification at Grab. This prompted the inception of our project aimed to integrate LLM classification into our existing data management service. Read to find out how we transformed what used to be a tedious and painstaking process to a highly efficient system and how it has empowered the teams across the organisation.
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EngineeringProfile-guided optimisation (PGO) on Grab services
Profile-guided optimisation (PGO) is a method that tracks CPU profile data and uses that data to optimise your application builds. The AI platform team enabled this on several Grab services to discover the full benefits and caveats of using PGO. Read this article to find out more.
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EngineeringHow we evaluated the business impact of marketing campaigns
Discover how Grab assesses marketing effectiveness using advanced attribution models and strategic testing to improve campaign precision and impact.
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EngineeringNo version left behind: Our epic journey of GitLab upgrades
Join us as we share our experience in developing and implementing a consistent upgrade routine. This process underscored the significance of adaptability, comprehensive preparation, efficient communication, and ongoing learning.
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Data Science · Engineering · SecurityEnsuring data reliability and observability in risk systems
As the amount of data Grab handles grows, there is an increased need for quick detections for data anomalies (incompleteness or inaccuracy), while keeping it secure. Read this to learn how the Risk Data team utilised Flink and Datadog to enhance data observability within Grab’s services.
Engineering
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Design
Unveiling the process: The creation of our powerful campaign builder
Dive into Trident, our real-time event-driven marketing tool at Grab. Explore the build of the core units powering our If This, Then That (IFTTT) logic. Learn how we deal with complex campaigns and discover the secret behind how we support various processing mechanisms
