Explore new CX outsourcing opportunities in this article by Jim Mitchell, vice president of customer experience and digital innovation at TELUS Digital.
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.
With their expansive capabilities and ability to solve complex problems, multimodal models are poised to transform the functionality of AI in the next generation of applications.
Forward-thinking businesses can use AI to optimize costs and drive savings now, then surpass their competitors when markets rebound.
We tested 8 agentic frameworks — Autogen, CrewAI, Langflow, LangGraph, LlamaIndex, n8n, PydanticAI, Smolagents — and found the 3 that perform best.
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