Why Trust in Enterprise AI Takes Time (and Breaks Fast) — Sébastien Robert

In this episode of Unscripted: Voices of Enterprise AI, our co-founder and CEO sits down with Sébastien Robert to explore what it really takes to build trust in data and AI. They unpack why trust is not just about data quality, but also how data is interpreted and used. From misleading comparisons to flawed assumptions, the conversation highlights how easy it is to generate the wrong insights, especially as AI makes analysis faster and more accessible. They also discuss how organizations can build trust in ML, why critical thinking is becoming a core skill, and what it takes to create a culture where teams can confidently use data and AI to make better decisions. Unscripted: Voices of Enterprise AI features candid conversations with CIOs and data leaders on enterprise AI, governance, and what it takes to lead at scale. To explore more about Dataiku, check out the rest of our content: DATAIKU: https://bit.ly/36XBlpK AI&Us: https://www.dataiku.com/stories/ai-and-us/ LinkedIn: https://bit.ly/3lXyRMb X: @dataiku Instagram: @dataiku