Article

  1. An illustration of a robot with icons around its head denoting the types of content that can be generated by AI, including, text, voice, video and code.
    Generative AI

    A practical guide to GenAI applications for customer experience management

    Learn about some popular customer experience GenAI use cases, and how the technology can help CXM leaders maintain a competitive advantage.

  2. Illustration of a robot meant to represent AI, an iceberg labeled as "AI BIAS" and some depictions meant to convey data
    Generative AI

    Five strategies to mitigate bias when implementing generative AI

    Discover five critical strategies for mitigating bias when implementing generative AI into your organization.

  3. Model of a human pondering while looking at the word "AI" meant to symbolize consumer sentiment on generative AI training data
    Generative AI

    Infographic: Consumer sentiment on generative AI training data

    A recent TELUS Digital survey explored consumer sentiment around the origin and quality of generative AI training data. Take a look at the findings.

  4. Person delivering a presentation, meant to symbolize explainable artificial intelligence
    Generative AI

    Explainable AI: A four-step framework for intellectual oversight

    As use of generative AI increases, it's critical to be able to understand how models arrive at the output they do in order to foster trust.

  5. Illustration of a person with arms raised, suggesting uncertainty, and floating iconography meant to convey choices (different arrows and question marks).
    Generative AI

    How to select a large language model

    With so many diverse large language models to choose from, selecting one for your business can be overwhelming. Here are some key factors to consider.

  6. Illustration of a person speaking into a microphone with a smiling robot listening, meant to symbolize natural language processing
    Linguistic Annotation

    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.

  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. Data visualization meant to convey key metrics in data annotation
    Data Annotation

    Four key metrics for ensuring data annotation accuracy

    High-quality data annotation is critical to the performance of your AI model. Here are four key metrics to consider for measuring annotation accuracy.

  9. Single line drawing of the side profile of a head and the term "AI" imposed on a wavy background connoting hallucination
    Generative AI

    Generative AI hallucinations: Why they occur and how to prevent them

    Hallucinations are an obstacle to building user trust in generative AI applications. Learn about the phenomenon, including best practices for prevention.

  10. Illustration of friendly robots and smart phones displaying iconography of humans, arrows and support agents, all meant to symbolize generative AI transparency and trust.
    Generative AI

    Generative AI survey results: Customers expect brands to be transparent

    A survey conducted by TELUS Digital unveiled consumer concerns about misinformation and bias in generative AI. Learn more.

  11. Illustration of a human face made up of various data points and graphical elements
    Generative AI

    Three ways RLHF is advancing large language models

    Learn how reinforcement learning from human feedback helps AI models respond to complex human preferences, reduce bias and decrease the occurrence of hallucinations.

  12. Illustration of connected dots, meant to represent governance in AI data collection.
    Data Collection

    Data governance with AI data collection

    Robust data governance not only improves data quality, it offers a standard to ensure that data is consistent, complete and accurate. Find out more.

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