AI Best Practices

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  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Robot representing AI is reading books labeled machine learning.
    AI Best Practices

    How do you train artificial intelligence?

    Every AI and machine learning project requires training in order to excel. Learn what AI training is, how it works and discover some tips for success.

  8. Cartoon of robot opened robot hand with many icons stemming from it, including a brain, an envelope, a lightbulb, a cloud and more
    AI Best Practices

    50 AI terms every beginner should know

    Looking to understand the vocabulary of AI? Read our glossary of 50 AI terms that will help you to hold your own in any discussion about machine learning.

  9. Hands counting to five
    AI Best Practices

    Five ways every business can start implementing AI into their framework

    It is never too late to start implementing artificial intelligence. From streamlining customer service workflows to gauging public opinion, discover how AI technology can be used to improve almost any business model.

  10. Cartoon of a human working on a computer with an arrow in the background used to symbolize a cycle
    AI Best Practices

    What is human-in-the-loop machine learning?

    Human-in-the-loop machine learning unites human and machine intelligence to create effective machine learning algorithms. Master the basics here.

  11. Three layered circles labelled from inner to outer: deep learning, machine learning and AI
    AI Best Practices

    What’s the difference between AI, machine learning and deep learning?

    There are subtle differences between AI and its related fields: machine learning and deep learning. Let’s take a closer look at these terms.

  12. Illustration of hands reaching the globe
    AI Best Practices

    Four benefits of using crowdsourced data for machine learning

    Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.

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