Discover best practices for the sourcing, labeling and analyzing of training data from TELUS International, a leading provider of AI data solutions.
Training AI systems demands observing data quality best practices. Learn more about AI data quality control in this primer.
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.
Learn how we helped a leading multinational technology company train their recommendation engine using image classification.
Experts believe autonomous vehicles will substantially improve road safety. Discover how large, diverse and accurate datasets are enabling this vision.
This global assessment evaluates vendors offering data labeling software technologies and capabilities.
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.
Large language models show incredible capabilities. Learn about the technology behind them and how they came to be the powerful machines they are today.
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.
Test and improve your machine learning models via our global AI Community of 1 million+ annotators and linguists.