Currently a Senior UX Researcher on Google’s Tensorflow Team, Michelle Carney is a computational neuroscientist turned UX researcher, whose practice focuses on the intersection of machine learning and UX. Her projects focus on combining Machine Learning and UX.
In this session, Michelle joins Hugo Bowne-Anderson, Outerbounds’ Head of Developer Relations, to discuss user experience and design thinking for machine learning products and how the combination is more than the sum of its parts when it comes to creating business value.
After attending, you will know:
- Why data scientists and machine learning practitioners need to start thinking more about UX
- The top 3-5 things data professionals should know about UX design to move the needle for their products
- How to measure the success of user experience and design thinking initiatives when it comes to ML products
- How UX design relates to other aspects of ML, such as usability, explainability, and ethics