06-20, 09:30–09:50 (Europe/Berlin), Maschinenhaus
Communicating technical knowledge effectively is a core skill for practitioners, but one which is often neglected. We’ll give practical advice on how to (and not to!) communicate technical ideas.
Practitioners and researchers alike share technical knowledge across a wide range of mediums; from blogs and conference talks, to internal presentations and slack messages. However, communicating technical information effectively is not an easy skill to learn, and every day we are bombarded with poorly communicated content. In this talk we’ll cover some common, but rarely recognised, anti-patterns in technical communication. We’ll dive into why they are an ineffective way to get a point across, and discuss how to avoid them in your content. You will leave the talk with a clear understanding of how to improve your technical communication, making your blogs, talks and day-to-day discussions more effective and impactful.
Sophie is a data scientist at Nvidia where she focuses on tools and techniques for accelerating data science and machine learning workflows and workloads. She has previously worked to help customers build machine learning systems in the hybrid cloud. She’s a frequent public speaker on topics including machine learning workflows on Kubernetes, recommendation engines, and MLOps. Sophie earned her PhD in Bayesian statistics.