Data Collection

  1. Image showing the capture of video data on a mobile phone.
    Data Collection

    Video data collection: Best practices, applications and use cases

    Discover why video data collection is critical to training AI and machine learning models, best practices for collection, industry applications and more.

  2. Illustration of an autonomous car using its sensors to drive on a road.
    Data Collection

    Best practices for annotating mapping data for ADAS and AV systems

    Discover how high-definition maps provide the critical context autonomous systems need to make safe, confident decisions on the road.

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    Data Collection

    Why data neutrality is more critical than ever

    Discover the importance of data neutrality in today’s AI ecosystem, and why partnering with an ethical, trust worthy and impartial data provider has never been more important.

  4. Illustration of a lock on a shield, meant to convey security against fraud when crowdsourcing AI data
    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.

  5. Brochure cover in front of a fern leaf.
    Data Collection

    Fraud prevention in crowdsourcing AI training data

    Discover how TELUS Digital safeguards AI training data quality through a comprehensive fraud prevention framework.

  6. Data Collection

    Data Collection

    Discover how TELUS Digital delivers high-quality, multimodal data to improve your artificial intelligence and machine learning model outcomes.

  7. An autonomous vehicle shown driving on a busy highway.
    Case Study
    Data Collection

    Curating high-quality data for the training and validation of ADAS and AV models

    Discover how TELUS Digital used our proven field operations testing (FOT) experience to create a high-quality dataset for training advanced driver assistance systems (ADAS) and autonomous vehicles (AV).

  8. Futuristic illustration of a car in motion, meant to symbolize AI technology in the automotive industry
    Data Collection

    ADAS field operations testing: Four essential considerations for program success

    Discover the processes involved in field operations testing for enhancing advanced driver assistance systems and key considerations for program success.

  9. Data Collection

    Demystifying GA4 data: How to flatten nested structures in BigQuery

    Leverage the BigQuery integration for advanced data analysis in Google Analytics 4.

  10. 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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    Data Collection

    Five pitfalls to avoid before you start collecting data

    Discover five of the most common pitfalls brands encounter with data collection — and ways to successfully overcome them.

  12. Black free weight on a white background
    Data Collection

    How much AI training data do you need?

    It’s only logical to ask how much training data you need, but it can be a complicated question to answer. Let’s take a look at why.

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