TELUS International a Leader in IDC MarketScape

Worldwide Data Labeling Software 2023 Vendor Assessment

TELUS International (NYSE and TSX: TIXT), a leading digital customer experience (CX) innovator that designs, builds and delivers next-generation solutions, including artificial intelligence (AI) and content moderation, for global and disruptive brands, today announced it was named a "Leader" in the IDC MarketScape: Worldwide Data Labeling Software 2023 Vendor Assessment. This global assessment evaluated vendors offering data labeling software technologies and capabilities, including TELUS International’s proprietary Ground Truth Studios (GT Studios) platform.

“We believe this prestigious acknowledgment in the IDC MarketScape underscores TELUS International's ongoing commitment since 2005 to be a worldwide leader in AI data solutions by investing in the ongoing advancement and transformative enhancement of our unique proprietary GT Studios platform in order to consistently deliver accurate, efficient, scalable and on-time data labeling solutions for our clients,” said Jeff Puritt, President and CEO, TELUS International. “TELUS International has a vital role in unlocking the value of unstructured data within AI/ML algorithms. Our focus on innovation and passion for excellence enable us to support our clients’ ambitions to bring new and complex AI and generative AI use cases to life by harnessing both platform automation and human intelligence to create diverse and representative AI training datasets while reducing bias.”

The comprehensive IDC MarketScape report highlights the critical role of data labeling in fueling the expansion of the machine learning life-cycle market, particularly in new AI/ML applications using unstructured data for conversational AI, speech recognition, sentiment analysis, object detection in autonomous driving and robotics applications, medical imaging, facial recognition, and more.

"Data labeling can be expensive, slow, and labor-intensive, but it's necessary to derive value from AI/ML models using unstructured data, such as text, images, videos, and audio data,” said Kathy Lange, Research Director of AI Software at IDC. “New AI-assisted software platforms, such as TELUS International GT Studios, dramatically reduce the effort traditionally required by human labelers, resulting in reduced time and costs for data labeling while delivering improved quality and accuracy of results.”