Artificial intelligence is set to define the future of banking. Learn about how banks are using machine learning, RPA and other AI-powered tech.
AI data demands classification to be useful at scale. Learn the benefits, challenges and best practices of data classification.
Learn how a leading technology client leveraged TELUS Digital’s AI Data Solutions to build a multilingual dataset that helps researchers scale natural language understanding technology.
Data annotation can create bottlenecks in AI and machine learning projects. Learn how to improve data quality and overcome data annotation challenges.
Examine how TELUS Digital evaluated high-quality data and merchant ratings to enhance the customer experience.
Training AI systems demands observing data quality best practices. Learn more about AI data quality control in this primer.
Experts believe autonomous vehicles will substantially improve road safety. Discover how large, diverse and accurate datasets are enabling this vision.
Machine learning demands massive amounts of clean, structured, labeled data. Learn the fundamentals of data labeling for successful AI training.
Discover TELUS Digital’s responsible AI principles for delivering better AI outcomes.
Learn how computer vision will play a vital role in transforming the metaverse into a commercially accessible reality for brands across industries.
Data-centric AI is driving the success of current machine learning initiatives. Learn about the leading role of data in the AI lifecycle and the three key factors powering the data-centric approach.
TELUS Digital partnered with YICF, an Indonesian not-for-profit organization, to expand its impact sourcing initiative in order to accurately represent the voices of displaced persons and refugees in Southeast Asia.
Enrich your data with our range of human-annotation services at scale.
