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Engineering · Design
How 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. -
Engineering · Data Science
LLM-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. -
Engineering
Profile-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. -
Engineering
How 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. -
Engineering
No 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. -
Data Science · Engineering · Security
Ensuring 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 · Data Science
Grab Experiment Decision Engine - a Unified Toolkit for Experimentation
Explore how the GrabX Decision Engine, an integral part of Grab's Experimentation platform, streamlines the testing of thousands of experimental variants weekly. This blog delves into how this internally open-sourced package institutionalises best practices in experimental efficiency and analytics, thereby ensuring accurate and reliable conclusions from each experiment. -
Engineering · Data Science
Iris - Turning observations into actionable insights for enhanced decision making
With cross-platform monitoring, a common problem is the difficulty in getting comprehensive and in-depth views on metrics, making it tough to see the big picture. Read to find out how the Data Tech team ideated Iris to turn observations into actionable insights for enhanced decision-making.