What happens when the algorithm doesn’t deliver? In this honest, behind-the-scenes session, we unpack the technical,
organisational & human challenges that led to a failed recommender system project. From messy data to misaligned goals, learn
what went wrong & what we’d do differently next time.

First presented at DataFest Cape Town 2025
About 20% technical talk about the underlying computational issues, majority of the content is about human issues, biases, organisational challenges, what we learned and how to lead through something like this.
20-30 minutes, simple slides, no audio or video needed.
Target audience is data teams and leaders of data teams or departments.