AI Best Practices

  1. Video
    AI Best Practicesseries

    Engineering trust: Safe AI for emergency care | 2 Weeks to Better

    SEASON 2 EPISODE 203: In the third phase of our rapid-prototyping challenge, TELUS Digital engineers architect trustworthy AI solutions for emergency healthcare to reduce hospital readmissions.

  2. AI Best Practices

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

    Unlock AI ROI with proven delivery leadership strategies. Learn how to reduce costs, drive value, and transform skeptics into champions.

  3. AI Best Practices

    Agentic AI Accelerator in action: Taking AI in healthcare from workshop to reality

    Discover how TELUS Digital developed AI-enabled tools for providers, patients, and caregivers to help reduce hospital readmissions.

  4. AI Best Practices

    How to evaluate your voice assistant pipeline end to end in four steps

    Learn how to test voice assistant pipelines end-to-end in 4 steps: create a gold standard dataset, generate test audio, run tests, and evaluate results.

  5. 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.

  6. AI Best Practices

    Ready to implement conversational AI? Here are three best practices executives should know

    These 3 conversational AI best practices will help you identify and develop new solutions, like natural language search tools, tailored to business goals.

  7. Illustration showing lines separating into strands and becoming increasingly separated, meant to symbolize machine learning model drift
    AI Best Practices

    How to detect and mitigate machine learning model drift

    Model drift degrades the accuracy of your ML model over time. Discover some best practices for detecting and mitigating it quickly and efficiently.

  8. Illustration of an assembly line with bugs being removed from computer code via automated arms, meant to symbolize quality assurance in AI training data
    AI Best Practices

    Quality assurance best practices for AI training data

    Training AI systems demands observing data quality best practices. Learn more about AI data quality control in this primer.

  9. Hundreds of brightly colored lines on a black background. On the left of the image the colored lines are mixed together. In the middle of the image you can see the lines twisting and beginning to sort themselves into specific colors. On the right of the image, all lines are grouped together by color.
    AI Best Practices

    Automation: The antidote to overcoming data labeling inefficiencies

    Learn how machine learning assisted automation speeds up data labeling and improves dataset accuracies for computer vision teams.

  10. Illustration of person drawing a route through a maze, meant to symbolize decision-making
    AI Best Practices

    A realistic decision framework for your data labeling strategy

    Learn more about the myths surrounding data labeling workflows and budgets in order to build effective labeling strategies for machine learning.

  11. Guide
    AI Best Practices

    The essential guide to AI training data

    Discover best practices for the sourcing, labeling and analyzing of training data from TELUS Digital, a leading provider of AI data solutions.

  12. Woman pointing to monitor while male colleague looks intently
    AI Best Practices

    The human side of AI and data annotation

    When most people think of AI, they think of computers and exuberant datasets. But humans are the most critical piece of any AI project. Learn why.

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