Data & AI

Multilingual-AI-Safety-Guardrails preview

Case Study

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.

Report
Data Annotation
NEAT evaluation for TELUS Digital: AI Enablement Services
Article
Physical AI Automotive
The sim-to-real gap in autonomous vehicles only closes with real-world data
Article
Data Collection
Age assurance AI: Why compliance starts with the right training data

See all Data & AI

AI Best Practices

See all

Article

Practical AI implementation from AI Ignition in Toronto and Montreal

Learn how Fuel iX™ is helping organizations move from AI confusion to confident implementation through hands-on education and actionable insights shared at the AI Ignition events in Toronto and Montreal.

Guide

Healthcare

The $26B healthcare opportunity: Using AI in post-discharge care

Stop wasting AI investment delivery leadership cover

Article

Stop wasting AI investment: How delivery leadership can slash costs and drive ROI

AI Use Cases

See all

Case Study

Communications & Media

Democratizing enterprise AI: How TELUS achieved $600M+ in benefits through AI and advanced analytics adoption

Learn how TELUS transitioned from foundational AI development to a comprehensive AI-first culture, partnering with TELUS Digital to achieve enterprise-wide adoption that drives transformational business value.

Brochure

Automotive

Driving the future of automotive through integrated Data and AI Solutions

Podcast

33 minsAugust 27, 2024

What does customer loyalty look like in the age of AI?

Agentic AI & Automation

See all

Article

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

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

Article

The human bottleneck in AI training: Can expert annotators scale with frontier models?

AI Strategy

See all

Article

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

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

Guide

Three paths of AI adoption: A guide to choosing the right strategy for your business

Computer Vision

See all

Case Study

Banking, Financial Services & Insurance

How AI-powered crop monitoring expands farm credit in Brazil

By applying AI-powered analytics to satellite imagery, a global credit reporting agency reduced the time and cost of farm credit assessments in Brazil.

Article

Automotive

Does data hold the key to autonomous vehicle safety?

Article

The expanding frontiers of computer vision in the metaverse

Data & AI Trends

See all

Case Study

Healthcare

Terabytes of medical data unlocked: HIPAA-compliant anonymization accelerates R&D

See how a global medical technology company achieved HIPAA-compliant data anonymization by detecting and blurring PII and PHI in its image and text files.

Article

The surge of multimodal AI: Advancing applications for the future

image-bae3428b-a307-483c-b0d0-25a993fad192

Article

Turning economic headwinds into AI tailwinds: Why smart companies are investing in AI now, not later

Data Annotation

See all

Nelson Hall NEAT Evaluation — AI Enablement hero

Report

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.

Case Study

Automotive

Training future-ready perception models with a highly-skilled automotive annotation workforce

Case Study

Automotive

Enhancing an autonomous vehicle bot’s scenario understanding with tailored fine-tuning datasets

Data Collection

See all

Article

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.

Questions for now - data neutrality image - September 2025

Podcast

30 minsSeptember 23, 2025

Why should CX leaders care about data neutrality?

Case Study

Improving identity and access management solutions with high-quality facial recognition data

Data Validation & Relevance

See all

Article

Automotive

What it takes to run a field operational testing program for L3-L4 AVs

Field operational testing is the make-or-break step for L3-L4 AVs. See how TELUS Digital runs a global FOT program, and what to ask a potential partner.

Facilitating transactional review and online shopping services for a global tech giant

Case Study

Technology

Facilitating transactional review and online shopping services for a global tech giant

Article

How do recommender systems facilitate great CX?

Generative AI

See all

Case Study

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.

Case Study

Evaluating affective safety guardrails for a leading foundational model

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

Case Study

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

Linguistic Annotation

See all

Article

Natural language processing: The power behind today's large language models

Large language models show incredible capabilities. Learn about the technology behind them and how they came to be the powerful machines they are today.

Article

Are we headed for an AI data shortage?

Building a multilingual dataset - feature image

Case Study

Technology

Building a multilingual dataset with high-quality data collection and annotation

Responsible AI

See all

Questions for now AI compliance in 2026 image

Podcast

32 minsDecember 11, 2025

What are the AI compliance trends leaders can’t ignore in 2026?

On this episode, we explore why customer experience (CX) leaders need to be aware of developments in AI compliance in 2026 — and why a “light touch” approach puts your CX at risk.

Podcast

39 minsSeptember 3, 2025

Presenting: AI Unraveled — The Future of AI Safety Testing

Article

Our approach to trustworthy AI: Using frameworks to manage risk and accelerate development

Physical AI

See all

Article

Automotive

Be the first to know

Get curated content delivered right to your inbox. No more searching. No more scrolling.

Subscribe now

Insights Overview

Categories

Industries

Resource Types

Glossary

Data & AI

Strengthening multilingual AI safety guardrails with expert-validated adversarial data

NEAT evaluation for TELUS Digital: AI Enablement Services

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

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

AI Best Practices

Practical AI implementation from AI Ignition in Toronto and Montreal

The $26B healthcare opportunity: Using AI in post-discharge care

Stop wasting AI investment: How delivery leadership can slash costs and drive ROI

AI Use Cases

Democratizing enterprise AI: How TELUS achieved $600M+ in benefits through AI and advanced analytics adoption

Driving the future of automotive through integrated Data and AI Solutions

What does customer loyalty look like in the age of AI?

Agentic AI & Automation

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

The human bottleneck in AI training: Can expert annotators scale with frontier models?

AI Strategy

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

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

Three paths of AI adoption: A guide to choosing the right strategy for your business

Computer Vision

How AI-powered crop monitoring expands farm credit in Brazil

Does data hold the key to autonomous vehicle safety?

The expanding frontiers of computer vision in the metaverse

Data & AI Trends

Terabytes of medical data unlocked: HIPAA-compliant anonymization accelerates R&D

The surge of multimodal AI: Advancing applications for the future

Turning economic headwinds into AI tailwinds: Why smart companies are investing in AI now, not later

Data Annotation

NEAT evaluation for TELUS Digital: AI Enablement Services

Training future-ready perception models with a highly-skilled automotive annotation workforce

Enhancing an autonomous vehicle bot’s scenario understanding with tailored fine-tuning datasets

Data Collection

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

Why should CX leaders care about data neutrality?

Improving identity and access management solutions with high-quality facial recognition data

Data Validation & Relevance

What it takes to run a field operational testing program for L3-L4 AVs

Facilitating transactional review and online shopping services for a global tech giant

How do recommender systems facilitate great CX?

Generative AI

Strengthening multilingual AI safety guardrails with expert-validated adversarial data

Evaluating affective safety guardrails for a leading foundational model

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

Linguistic Annotation

Natural language processing: The power behind today's large language models

Are we headed for an AI data shortage?

Building a multilingual dataset with high-quality data collection and annotation

Responsible AI

What are the AI compliance trends leaders can’t ignore in 2026?

Presenting: AI Unraveled — The Future of AI Safety Testing

Our approach to trustworthy AI: Using frameworks to manage risk and accelerate development

Physical AI

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

Why training data yield rate matters in physical AI

A technical primer on world models

Be the first to know