Source:University of Auckland
Date:1 November 2019, 9:00am - 1 November 2019, 1:00pm
Venue:University of Auckland, Decima Glenn, Room 310, Level 3, 12 Grafton Road, Auckland
Speakers:Prof. Michael D Myers and others
Link to Event:https://nvite.com/universityofauckland/fd1b2
University of Auckland Business School, Symposium
In our digital world, data is a precious commodity. Data is available in various formats (perceptual, transactional, social, textual, video, geo-spatial etc.). It is collected from different sources (web, social media, survey, company internal data) and through various devices and tools (chatbot, VR/AR, smart phone, IoT, etc.). It is then analysed with novel methodologies (data mining, machine learning etc.) and finally used by algorithms for automated decision-making.
The increasing volume of data, collected at high speed, can enable companies to segment and target their customers at the micro level. It allows then to offer ultra-personalised content and radically new products and services (smart cars, homes, service robots etc.). However, these technology-enabled opportunities also create challenges for companies and governments worldwide, and more importantly, they create increasing tension between managers, consumers and policy makers, which is the focus of this symposium.
Some of the issues the symposium will focus on include:
- How can our economy participate in the global markets where (private) data represents the new form of competitive advantage?
- How can algorithmic decision-making facilitate efficient decision-making without threatening people’s autonomy?
- How can companies find the right balance between human and technology-enabled consumer-firm interactions?