Discover best practices for the sourcing, labeling and analyzing of training data from TELUS International, a leading provider of AI data solutions.
Model drift degrades the accuracy of your ML model over time. Discover some best practices for detecting and mitigating it quickly and efficiently.
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.
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.
Experts believe autonomous vehicles will substantially improve road safety. Discover how large, diverse and accurate datasets are enabling this vision.
High-quality data annotation is critical to the performance of your AI model. Here are four key metrics to consider for measuring annotation accuracy.
Robust data governance not only improves data quality, it offers a standard to ensure that data is consistent, complete and accurate. Find out more.
Examine how TELUS International evaluated high-quality data and merchant ratings to enhance the customer experience.
Discover how a potential AI training data shortage for language models could affect your business, and what you can do to offset its impact.
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.
Hallucinations are an obstacle to building user trust in generative AI applications. Learn about the phenomenon, including best practices for prevention.
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