Case StudyData AnnotationAutomotiveTraining future-ready perception models with a highly-skilled automotive annotation workforce
Discover how TELUS Digital successfully delivered a large-scale 2D and 3D annotation project for training and validating a client’s perception model in the automotive industry.
Case StudyData AnnotationAutomotiveEnhancing an autonomous vehicle bot’s scenario understanding with tailored fine-tuning datasets
Discover how TELUS Digital assisted a leading U.S. autonomous vehicle (AV) developer in refining the scenario comprehension and motion planning capabilities of their AV bot.
Data AnnotationEverest Group Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024
Discover why TELUS Digital has been named a Leader in Everest Group's Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024.
Research & Reports
Case StudyData AnnotationAutomotiveCollecting in-field driving data to train a leading insurance provider’s rewards application
Learn how TELUS Digital’s team of experts successfully delivered data on real-world driving actions ranging from the mundane (bringing the vehicle to a stop) to high-risk (driving while distracted).
Case StudyData AnnotationMeeting the complex data annotation requirements of a unique non-profit organization
TELUS Digital completed a secure, in-facility annotation project for Thorn, a non-profit organization dedicated to protecting children.
Research & ReportsData AnnotationIDC MarketScape: Worldwide Data Labeling Software 2023 Vendor Assessment
This global assessment evaluates vendors offering data labeling software technologies and capabilities.
Data AnnotationFour key metrics for ensuring data annotation accuracy
High-quality data annotation is critical to the performance of your AI model. Here are four key metrics to consider for measuring annotation accuracy.
Data AnnotationWhat is data classification?
AI data demands classification to be useful at scale. Learn the benefits, challenges and best practices of data classification.
Data AnnotationFive common data annotation challenges and how to solve them
Data annotation can create bottlenecks in AI and machine learning projects. Learn how to improve data quality and overcome data annotation challenges.
Data AnnotationData labeling fundamentals for machine learning
Machine learning demands massive amounts of clean, structured, labeled data. Learn the fundamentals of data labeling for successful AI training.
Data AnnotationThe contemporary trifecta of data-centric AI
Data-centric AI is driving the success of current machine learning initiatives. Learn about the leading role of data in the AI lifecycle and the three key factors powering the data-centric approach.
Data AnnotationThe ultimate checklist for outsourcing your data labeling pipeline
Choosing a data annotation partner is one of the most crucial decisions machine learning teams can make because it directly affects their go-to-market strategy. Crucial decisions call for careful planning. Explore our checklist to help you find the right AI data solutions partner.
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