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 International 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 International helped a leading global technology company develop its well-known voice assistant by collecting an extensive multilingual audio dataset.
A survey conducted by TELUS International unveiled consumer concerns about misinformation and bias in generative AI. Learn more.
In this virtual chat with TELUS International computer vision experts Ajinkya Malasane and Kaushik PS, we’ll dive deep into end-to-end sensor fusion data collection and annotation solutions for autonomous vehicle training needs.
Learn how reinforcement learning from human feedback helps AI models respond to complex human preferences, reduce bias and decrease the occurrence of hallucinations.
Robust data governance not only improves data quality, it offers a standard to ensure that data is consistent, complete and accurate. Find out more.
Learn how we helped an agricultural producer monetize their extensive data assets using cloud-based artificial intelligence (AI) technology.
Generative AI has seemingly limitless potential for brands who lead with their digital CX. Investigate the benefits of AI customer service.
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