Data & AI

Brochure

Custom data for generative AI model fine-tuning

TELUS Digital creates human-aligned datasets to fine-tune and evaluate generative AI models. Explore how this diverse and accurate data can increase your model performance, adaptability and safety.

Article

Data & AI Trends

Agentic AI: The autonomous revolution that is reshaping enterprises in 2025

Discover how agentic AI is transforming business operations through its autonomous decision-making capabilities that transcend traditional AI applications.

Article

Agentic AI & Automation

Orchestrating multi-agent AI systems: When should you expand to using multiple agents?

Multi-agent AI systems can handle more complex workflows than a single agent. Here’s when and how to expand from a single-agent agent architecture.

image-cc7a14ec-f23f-4533-b083-8172f3bda661

Article

Data & AI Trends

Transforming the SDLC: Real-world examples of enhancing software development with AI

How to turbo-charge efficiency, reduce friction, and unlock creativity with an AI-enhanced software development lifecycle (SDLC).

Article

Agentic AI & Automation

The executive’s guide to agentic AI: Enhancing workflows to unlock high-value potential

Agentic AI will transform enterprise workflows in 2025. This guide informs executives how to leverage the technology for high-value work and improved ROI.

Article

AI Best Practices

Is Anthropic’s Model Context Protocol right for you?

Learn where Model Context Protocol (MCP) can enhance your AI development processes and where traditional approaches are more favorable.

Article

Agentic AI & Automation

Building your first AI agent with plan-and-execute loops

Learn the fundamental pieces of code needed for building AI agents that can automate workflows, create original content, order pizza, and more.

Case Study

Data Annotation Automotive

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

Discover how TELUS Digital successfully delivered a large-scale 2D and 3D annotation project for training and validating a client’s perception model in the automotive industry.

Case Study

Generative AI

Improving large language model logic and reasoning with a specialized fine-tuning dataset

Explore how TELUS Digital created an off-the-shelf dataset to advance the capabilities of large language models (LLMs).

Article

Data & AI Trends

We tested 10 speech-to-text models — Here's what to know when choosing STT for voice applications

We evaluated 9 closed-source and 1 open-source speech-to-text models on performance factors such as word error rate, words per minute, and cost.

Article

Data Collection

Fraud prevention best practices when crowdsourcing AI data

Learn to safeguard AI training data from fraud with proven security frameworks. Read about threats in crowdsourcing and effective defense strategies.

Article

Responsible AI

Developing input filters for chatbot security: How traditional machine learning shows the need for diverse training data

Our research into chatbot performance using traditional ML shows how input filters increasingly need tailored training data to identify security risks.

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Data & AI

Custom data for generative AI model fine-tuning

Agentic AI: The autonomous revolution that is reshaping enterprises in 2025

Orchestrating multi-agent AI systems: When should you expand to using multiple agents?

Transforming the SDLC: Real-world examples of enhancing software development with AI

The executive’s guide to agentic AI: Enhancing workflows to unlock high-value potential

Is Anthropic’s Model Context Protocol right for you?

Building your first AI agent with plan-and-execute loops

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

Improving large language model logic and reasoning with a specialized fine-tuning dataset

We tested 10 speech-to-text models — Here's what to know when choosing STT for voice applications

Fraud prevention best practices when crowdsourcing AI data

Developing input filters for chatbot security: How traditional machine learning shows the need for diverse training data

Be the first to know