Brands are eager to reap the benefits of generative AI (GenAI) while limiting potential risks. Join Steve Nemzer, director of AI growth and innovation for TELUS Digital (formerly TELUS International), as he shares best practices for leveraging GenAI without compromising your organization’s goodwill.
TELUS Digital completed a secure, in-facility annotation project for Thorn, a non-profit organization dedicated to protecting children.
This global assessment evaluates vendors offering data labeling software technologies and capabilities.
With so many diverse large language models to choose from, selecting one for your business can be overwhelming. Here are some key factors to consider.
Large language models show incredible capabilities. Learn about the technology behind them and how they came to be the powerful machines they are today.
Model drift degrades the accuracy of your ML model over time. Discover some best practices for detecting and mitigating it quickly and efficiently.
Discover how TELUS Digital and the SETU Foundation spearheaded an initiative to provide occupational and learning opportunities to young women in India while delivering high-quality results for the client.
Learn how we helped a leading multinational technology company train their recommendation engine using image classification.
High-quality data annotation is critical to the performance of your AI model. Here are four key metrics to consider for measuring annotation accuracy.
Hallucinations are an obstacle to building user trust in generative AI applications. Learn about the phenomenon, including best practices for prevention.
Discover how TELUS Digital helped a leading global technology company develop its well-known voice assistant by collecting an extensive multilingual audio dataset.
A survey conducted by TELUS Digital unveiled consumer concerns about misinformation and bias in generative AI. Learn more.
Enrich your data with our range of human-annotation services at scale.