Discover the processes involved in field operations testing for enhancing advanced driver assistance systems and key considerations for program success.
Join Ajinkya Malasane, senior director, product strategy and marketing for TELUS Digital (formerly TELUS International), and Vikram Chatterji, co-founder and CEO of Galileo, a generative AI (GenAI) evaluation company, as they provide efficient and effective ways to solve key GenAI project blockers for easier deployments.
As GenAI implementations become more prominent, it's critical to adhere to responsible AI practices to protect your brand and foster customer trust.
Explore how TELUS Digital designs for data privacy and security while driving AI innovation with leading brands.
Can a chatbot be empathetic? Discover what empathetic chatbots look like, how're they're trained and the impact they could have on your business.
Learn about some popular customer experience GenAI use cases, and how the technology can help CXM leaders maintain a competitive advantage.
Discover five critical strategies for mitigating bias when implementing generative AI into your organization.
Discover why TELUS Digital has been named a Leader in Everest Group's Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024.
A recent TELUS Digital survey explored consumer sentiment around the origin and quality of generative AI training data. Take a look at the findings.
Learn how TELUS Digital’s team of experts successfully delivered data on real-world driving actions ranging from the mundane (bringing the vehicle to a stop) to high-risk (driving while distracted).
As use of generative AI increases, it's critical to be able to understand how models arrive at the output they do in order to foster trust.
Everest Group, supported by TELUS Digital, surveyed 200 customer experience leaders from around the world to determine their enterprise readiness for the adoption of generative AI (GenAI). Discover the results.
Enrich your data with our range of human-annotation services at scale.
