Data & AI

Nelson Hall NEAT Evaluation — AI Enablement hero

Research & Reports

NEAT evaluation for TELUS Digital: AI Enablement Services

NelsonHall named TELUS Digital a ‘Leader’ in its 2026 NEAT evaluation for AI Enablement Services, placing the company in the top tier for both the Overall and AI Training market segments among 11 vendors assessed.

Multilingual-AI-Safety-Guardrails preview

Case Study

Generative AI

Strengthening multilingual AI safety guardrails with expert-validated adversarial data

Discover how native-speaking red-team specialists generated and validated a multilingual adversarial dataset that helps strengthen AI safety guardrails across multiple languages.

Age assurance AI: Why compliance starts with the right training data

Article

Data Collection

Age assurance AI: Why compliance starts with the right training data

Age assurance AI is only as accurate as its training data. Discover the gaps undermining compliance and the four pillars of a production-ready pipeline.

Evaluating affective safety guardrails for a leading foundational model

Case Study

Generative AI

Evaluating affective safety guardrails for a leading foundational model

Discover how TELUS Digital combined multi-turn conversation data, turn-level evaluation and licensed clinical expertise to help a prominent foundation-model provider benchmark and secure its AI model during high-stakes, emotionally sensitive interactions.

Improving trust & safety policy-enforcement accuracy with chain-of-thought reasoning data

Case Study

Generative AI

Improving trust and safety policy-enforcement accuracy with chain-of-thought reasoning data

Discover how expert safety analysts at TELUS Digital built a structured reasoning framework that taught a content-moderation LLM to detect nuanced, evasive policy violations.

Why Physical AI Needs Real-World Autonomous Vehicle Data

Article

Physical AI Automotive

The sim-to-real gap in autonomous vehicles only closes with real-world data

Simulation accelerates AV development, but real-world data closes the loop. Learn how physical AI programs tackle the long tail of autonomous driving edge cases.

As Foundation Models Commoditize, Value Moves to Fine-Tuning

Article

Generative AI

When foundation models commoditize, the value moves to fine-tuning and evaluation

As foundation models commoditize, the real value now lies in fine-tuning, evaluation and domain-specific AI data. Here's where differentiation is built.

Article

Physical AI

Why training data yield rate matters in physical AI

Eight hours of robot data collection yield just two to four hours of usable training data. Explore what physical AI leaders say about closing that gap.

Article

AI Strategy

What is an AI developer? The role redefining enterprise software in 2026

What is an AI developer? The term is drifting, with multiple definitions and none of them quite right. Here's the definition that matters for enterprise teams.

Article

AI Strategy

What is an AI system builder? The infrastructure role enterprises are missing

What is an AI system builder? It’s the role most enterprises don't have and can't scale AI without. Here’s a practical definition for engineering leaders.

Article

Agentic AI & Automation Banking, Financial Services & Insurance

Agentic banking doesn’t require a core replacement: What 164 corporate treasurers told us about their banks

What 164 corporate treasurers told us about North American banking’s infrastructure gap — and why closing it doesn’t require a core replacement.

Article

Agentic AI & Automation

From assistants to agents: What Google I/O 2026 means for enterprise leaders

Google I/O 2026 changed how enterprise AI gets built. Here's what leaders need to act on and what can wait.

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Data & AI

NEAT evaluation for TELUS Digital: AI Enablement Services

Strengthening multilingual AI safety guardrails with expert-validated adversarial data

Age assurance AI: Why compliance starts with the right training data

Evaluating affective safety guardrails for a leading foundational model

Improving trust and safety policy-enforcement accuracy with chain-of-thought reasoning data

The sim-to-real gap in autonomous vehicles only closes with real-world data

When foundation models commoditize, the value moves to fine-tuning and evaluation

Why training data yield rate matters in physical AI

What is an AI developer? The role redefining enterprise software in 2026

What is an AI system builder? The infrastructure role enterprises are missing

Agentic banking doesn’t require a core replacement: What 164 corporate treasurers told us about their banks

From assistants to agents: What Google I/O 2026 means for enterprise leaders

Be the first to know