Sarah
Sarah is a data engineering professional who believes the best technology conversations start with the foundations underneath the hype. With deep interest in how data moves through organisations — and all the subtle ways it can succeed or fail along the way — she brings a practical, technically grounded perspective to enterprise AI.
Warm, thoughtful, and unapologetically detail-oriented, Sarah has a knack for making complex concepts accessible without oversimplifying them. Whether she’s unpacking data observability, governance, architecture, or the hidden risks of poor-quality inputs, she helps listeners see why trust in data is essential for trust in AI.
On AI - Beyond the Hype, Sarah brings the technician’s lens: curious about how the machinery works, excited by the details, and always focused on what needs to be true behind the scenes for AI to deliver real value.