Memi Beltrame

Artificial intelligence is more and more becoming the core of digital products. Designing for Products based on AI requires Designers to know about Machine Learning. This talk is an easy walk through the most important elements of Machine Learning. It looks at the fundamental principles of using practical examples. It showcases applications of the different types of Machine Learning. The use-cases range from text categorization to image recognition, on to speech analysis. The goal is to show what is important for designers and why.

Language is a vital part of design, critical to the design itself but also to the process underneath. It affects companies on many levels: different roles, backgrounds and languages spoken within the team bring the need of a common vocabulary. Companies set up a vocabulary of some sort but often struggle to make it a part of the company culture. This talk looks at the challenges of controlled vocabularies and how they can be helpful in creating a shared understanding of the company.

An in-depth look at how interaction design, industrial design and service design are merging together to form a super-discipline and what this all means for designers.

This is a case study of 3 projects with a seemingly trivial task in common: how do we show users meaningful suggestions of what they can buy in a web store without knowing much about them? The first project is about us struggling to design meaningful suggestions using conventional patterns. In the second, we shifted to a conversational UI and saw its mechanics change the dynamics of interaction. In the third project, we had an epiphany where it became apparent just how much designing conversational UIs is tied to understanding language, speech acts and the psychology of human behaviour.