The language layer your AI strategy needs

AI readiness isn’t a technology problem—it’s a language problem. As Amica Insurance’s Sr. Data Governance Manager Steffanie Archer explains, this has less to do with algorithms and more to do with trust. So how do you ensure data is high-quality, easy to find, clearly owned, and consistently understood across the business?Steffanie points to curated data products as the next major driver of adoption, giving teams trusted, ready-to-use datasets that streamline strategic work and remove guesswork. As demand grows, the focus shifts to scaling capacity, supported by an engaged steward network and a change-management approach that treats governance as something built with the business—not imposed on it.Three reasons you should listen to this episode:1. Build AI readiness from the ground up. Hear how data leaders cut through ambiguity by unifying definitions, owners, and access so every team works from the same source of truth.2. Turn governance into demand. Use an engaged steward network and collaborative operating model to shift data governance from a compliance task to something business teams actively seek out.3. Accelerate insights with curated data products. Pre-package trusted datasets that eliminate manual hunting, reduce rework, and give strategic initiatives a running start.ResourcesConnect with ThomasConnect with SteffanieEnjoyed this episode?Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach.Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.

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