Building Thoughtful ML Experiences: User-Centered Machine Learning Applications

In recent years, machine learning has become crucial in shaping how we interact with devices and services. However, building machine learning applications that prioritize the needs and privacy of users can be a complex and challenging task. This talk will explore how to use Core ML and Create ML to develop user-centred machine learning experiences using Apple platforms. We will focus on the advantages of using on-device machine learning, including speed and privacy benefits over cloud-based approaches. We will also discuss making machine learning accessible and inclusive for all users, regardless of technical background. Additionally, we will delve into privacy in machine learning and how to design applications that respect user data and maintain trust. Join us to discover how to build thoughtful and user-centred machine-learning experiences for Apple platforms.

About the presenter

James Dale is an entrepreneur and developer specialising in iOS App Development. Currently, he is leading App Development studio, Friday Technologies. Previously, he cofounded US-based startup HAGS, backed by Google and BoxGroup (now acquired by Snapchat). James is the recipient of four Apple WWDC Scholarship awards, and a serial iOS app developer creating apps such as CleanSky and RulAR. He previously worked at Apple in the ISE Special Projects and Machine Learning Platform & Technology teams, contributing to the Create ML framework and macOS app. James speaks often at iOS and Swift industry conferences, and teaches online Swift courses with RMIT University. James is driven to create change in the mobile apps and machine learning spaces! Keep up to date with James on Twitter at @_JamesDale.

Session Recording