The chapter explores the significance of data awareness, AI's influence on data utilization, and the prevalence of AI-driven personalization in businesses, with examples ranging from user behavior prediction to personalized user journeys. Various topics include training recommendation engines, the function of metadata in personalization, challenges in shared device recommendations, differentiating content personalization from system structure personalization, and the importance of balancing personalization with usability, illustrated by a personalization zoning model for desktop webpages and mobile apps, emphasizing a systematic approach for enhancing user experiences.
My guests today are Colin Eagan and Jeffrey MacIntyre. Although they work for different companies, Colin and Jeffrey share a common focus: how information technologies might offer more personalized experiences. They co-authored an article on the subject for A List Apart and Jeffrey gave an excellent presentation based on that material at this year’s IA Conference, which led to this interview.
See full show notes at:
https://theinformed.life/2024/07/14/episode-144-colin-eagan-jeffrey-macintyre/