Enhance your customer experience, empower users to create and share custom copilots, and proactively identify and mitigate risks with Fuel iX by TELUS Digital. Discover how more than 50,000 users are leveraging our award-winning generative AI engine to achieve results.
Explore new CX outsourcing opportunities in this article by Jim Mitchell, vice president of customer experience and digital innovation at TELUS Digital.
Explore a technical overview of AI red teaming principles, informed by methodologies our experts at TELUS Digital employ when stress-testing our clients' models for safety and security vulnerabilities.
Explore a detailed technical account of how the team at TELUS Digital built a proof of concept using OpenAI’s Apps SDK, including the architecture choices made, the pitfalls encountered and the lessons learned building on this emerging platform.
Explore our benchmarkable multimodal dataset designed for fine-tuning and evaluating scientific reasoning through domain-grounded visual question answering.
Explore a comprehensive conceptual approach for systematically evaluating agentic AI models and assessing their readiness for real-world applications.
Discover how TELUS Digital incorporates automated quality control agents into our training data pipelines for greater efficiency and accuracy.
Discover why video data collection is critical to training AI and machine learning models, best practices for collection, industry applications and more.
Unlock AI ROI with proven delivery leadership strategies. Learn how to reduce costs, drive value, and transform skeptics into champions.
Discover how high-definition maps provide the critical context autonomous systems need to make safe, confident decisions on the road.
Discover the importance of data neutrality in today’s AI ecosystem, and why partnering with an ethical, trust worthy and impartial data provider has never been more important.
Discover how TELUS Digital developed AI-enabled tools for providers, patients, and caregivers to help reduce hospital readmissions.
Learn about the process of LLM adaptation — from pre- and post-training refinements to the latest advancements in reinforcement learning algorithms.
By using tools like risk management frameworks, we identify and address AI risks early, saving time and cost while ensuring our clients’ AI solutions are built on a foundation of trust and reliability.
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