AI Data

Guide

The essential guide to AI training data

Discover best practices for the sourcing, labeling and analyzing of training data from TELUS International, a leading provider of AI data solutions.

AI Best Practices

The essential guide to AI training data

Discover best practices for the sourcing, labeling and analyzing of training data from TELUS International, a leading provider of AI data solutions.

Video
Data Annotation Automotivewebinar
Leveraging automation for labeling large 3D pipelines
Case Study
AI Use Cases Automotive
Creating annotation work opportunities through impact sourcing
AI Best Practices
How to detect and mitigate machine learning model drift

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AI Data

AI Best Practices

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Illustration of an assembly line with bugs being removed from computer code via automated arms, meant to symbolize quality assurance in AI training data

Quality assurance best practices for AI training data

Training AI systems demands observing data quality best practices. Learn more about AI data quality control in this primer.

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Video

AI Data Solutions overview

Guide

Quality, quantity, and responsibility: Three key data pillars for successful AI implementations

AI Trends

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Illustration of a robot (symbolizing AI), scales (symbolizing law and justice), and a clipboard (symbolizing regulation)

The future of AI regulation in 2023

New regulatory action is predicted for the artificial intelligence (AI) industry. Learn about the potential impacts and how companies can adopt AI governance best practices.

The future of AI regulation in 2023

New regulatory action is predicted for the artificial intelligence (AI) industry. Learn about the potential impacts and how companies can adopt AI governance best practices.

AI Use Cases

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Case Study

Training a recommendation engine through image classification

Learn how we helped a leading multinational technology company train their recommendation engine using image classification.

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Case Study

Powering voice-assistant technology through multilingual datasets

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Case Study

Growing agricultural profits with cloud-based AI

Computer Vision

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Automotive

Does data hold the key to autonomous vehicle safety?

Experts believe autonomous vehicles will substantially improve road safety. Discover how large, diverse and accurate datasets are enabling this vision.

Two people with virtual reality (VR) goggles meant to symbolize the metaverse

The expanding frontiers of computer vision in the metaverse

Cars with bounding boxes to show image annotation

Case Study

Automotive

Building high-quality 3D flash lidar datasets for autonomous vehicles

Data Annotation

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Four 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.

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What is data classification?

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Five common data annotation challenges and how to solve them

Data Collection

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Data governance with AI data collection

Robust data governance not only improves data quality, it offers a standard to ensure that data is consistent, complete and accurate. Find out more.

Data governance with AI data collection

Robust data governance not only improves data quality, it offers a standard to ensure that data is consistent, complete and accurate. Find out more.

Data Validation & Relevance

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Case Study

Technology

Facilitating transactional review and online shopping services for a global tech giant

Examine how TELUS International evaluated high-quality data and merchant ratings to enhance the customer experience.

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How do recommender systems facilitate great CX?

Case Study

Travel & Hospitality

Improving search relevance for a fast-growing unicorn

Linguistic Annotation

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Illustration of a person speaking into a microphone with a smiling robot listening, meant to symbolize natural language processing

Natural language processing: The power behind today's large language models

Large language models show incredible capabilities. Learn about the technology behind them and how they came to be the powerful machines they are today.

Are we headed for an AI data shortage?

Case Study

Technology

Building a multilingual dataset with high-quality data collection and annotation

Responsible AI

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The critical role of impact sourcing on AI model expansion

Addressing bias in AI models is a key principle of responsible AI. Discover how diversifying your team of AI contributors through impact sourcing can help.