UNF#CK YOUR DATA

UNF#CK YOUR DATA is a German data and AI podcast that refuses to let fashionable terminology coast on vibes. The show is brisk, informal, and practical. Christian Krug interviews data professionals and adjacent specialists about the gap between what companies say about data and what their teams can actually use. Recent conversations put AI memory, token-heavy workflows, data platforms for mid-sized companies, Power BI limits, public speaking, Amazon reselling, and football-shaped data thinking into the same broad frame. The core question stays steady: what action follows from the data? That makes the show useful beyond pure data teams. It cares about platforms and models, but it also cares about controllers who still live in Excel, managers who need cost simulations, stakeholders who do not want a six-month platform promise, and professionals who need to speak clearly in meetings. The tone is skeptical without becoming detached. Guests get room to explain their domain, then the conversation pushes back on definitions, incentives, and failure modes. AI is treated as powerful but not magic. The show is especially sharp when discussing the discipline behind good AI output: project instructions, thinking time, hardened software, and the difference between assisted coding and shipping code nobody understands. It also has a taste for business reality outside the usual data circle, using Amazon reseller mechanics as another case study in how historical data, competition, and platform rules shape outcomes. The pacing can be winding, then suddenly blunt. That is part of the appeal. It sounds like people arguing toward clarity rather than performing certainty. For listeners who are tired of dashboard theater and synthetic enthusiasm, UNF#CK YOUR DATA offers a grounded, sometimes irreverent tour through the work required to make data matter.