Data & AI

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.

Article

Agentic AI & Automation

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

Discover how TELUS Digital has built the infrastructure for frontier AI, including expert talent pipelines, human-AI collaboration architecture and adversarial safety tools designed for a moment when qualified human judgment, at scale, is the real bottleneck.

Article

Physical AI

A technical primer on world models

Learn how world models differ from LLMs, the five properties that make them useful and why causality and action-conditioned prediction are keys to physical AI.

Article

Physical AI Technology

Physical AI training data: What good pre-training and post-training datasets look like

Master the data requirements for physical AI. Learn how multimodal sensor fusion, 6D pose estimation and high-context annotations bridge the sim-to-real gap.

Solution Update

Generative AI

How to build post-training AI Interfaces at the speed of R&D with Express Interface

Accelerate AI development with Express Interface. Build dynamic, event-driven post-training interfaces fast using a drag-and-drop UI and Python logic. Eliminate engineering bottlenecks, embed real-time LLM-as-a-judge QC and curate high-quality training data for LLMs, VQA and text-to-SQL tasks.

Article

Generative AI

From validation to collaboration: Rethinking human-in-the-loop processes in trust and safety automation

Learn how TELUS Digital combines LLM automation with "human-on-the-loop" policy stewardship to navigate cultural nuance, resolve policy collisions and prioritize accuracy over scale in content moderation.

Article

Physical AI

AI training data: Buyer’s guide for physical AI, robotics and autonomous systems

Explore the critical role of high-precision sensor data in transitioning robotics and autonomous vehicles from controlled environments to the real world. This guide provides an evaluation framework for selecting data partners capable of handling the unique complexities of physical AI.

Article

Generative AI

The accelerating GenUI ecosystem: MCP Apps, OpenAI’s Apps SDK and Google A2UI

Compare ChatGPT Apps SDK, MCP UI and Google A2UI. Learn the pros and cons of these GenUI frameworks to choose the right tech for your next AI project.

Article

Agentic AI & Automation

Optimizing AI agent performance: Why expert-curated Goldilocks datasets are critical

Learn how the Goldilocks principle and expert-led data curation transform simple LLMs into high-performing AI agents capable of complex decision-making.

Case Study

AI Use Cases 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.

Article

Generative AI

Why AI's path to AGI runs through math reasoning

Discover how mathematical reasoning datasets are fostering genuine mathematical understanding and advancing the journey toward AGI.

Research & Reports

Generative AI

Certainty robustness: Evaluating LLM stability under self-challenging prompts

Large language models (LLMs) often express high confidence without a mechanism for reasoning about certainty. Existing benchmarks only assess single-turn accuracy, truthfulness or confidence — until now. We introduce a new benchmark that measures how LLMs balance stability and adaptability when chal...

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Data & AI

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?

A technical primer on world models

Physical AI training data: What good pre-training and post-training datasets look like

How to build post-training AI Interfaces at the speed of R&D with Express Interface

From validation to collaboration: Rethinking human-in-the-loop processes in trust and safety automation

AI training data: Buyer’s guide for physical AI, robotics and autonomous systems

The accelerating GenUI ecosystem: MCP Apps, OpenAI’s Apps SDK and Google A2UI

Optimizing AI agent performance: Why expert-curated Goldilocks datasets are critical

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

Why AI's path to AGI runs through math reasoning

Certainty robustness: Evaluating LLM stability under self-challenging prompts

Be the first to know