Machine Learning for Information Management
The commercial use of artificial intelligence techniques such as machine learning has exploded in the last few years. Hear from our speakers about their first-hand experience using this technology.
This session gets behind the hype and explores the reality of these tools:
- How do they work?
- How do you apply them to real-world problems?
- What are the challenges, risks and opportunities?
Each of our speakers brings insights from their hands-on experience with machine learning to this session.
Matthew Golab is the head of Legal Informatics at Gilbert + Tobin. He leads a specialised in-house multidisciplinary legal informatics team that utilises a variety of data analytics and eDiscovery, and other AI technology tools. Matthew has more than 20 years of experience in the legal technology industry, including two of Australia's preeminent law firms, Allens for 13 years and Gilbert + Tobin for seven years. Matthew is Chair of the Association of Litigation Support Managers (ALSM), NSW chapter, and an advisory board member of Information Governance ANZ.
Glen Humphries is currently a Senior Advisor, Transfer Planning at NSW State Archives and Records Authority. He has previously worked for Archives New Zealand from 2006 to 2014 where he gained a wide knowledge of archival practices before moving to Australia. Glen joined State Archives in August 2015 and has been working on a number of digital transfers of various sizes and ages.
Paul Kennedy is Director of the Biomedical Data Science Laboratory in the UTS Centre for Artificial Intelligence. Prof Kennedy has been a General Chair of the Australasian Data Mining Conference (AusDM) since 2007 and has been co-editor of the AusDM proceedings since 2006. He is an ARC Expert Assessor and has coauthored over 100 publications.
This session is part of Information Innovation @ UTS, a seminar series hosted by the Information Knowledge Management team at UTS.