Breathe new life. Seize the opportunity.
With the advent of AI, data quality has never been more relevant to statisticians and organisations all over the world. While most organisations recognise data quality as a serious problem, rarely do they go beyond short-term “data cleaning” to find and address the root causes of poor quality data. This provides an enormous opportunity for practitioners and research statisticians alike to demonstrate how to improve data quality at the source. By holding this (very timely) conference, we hope to help form a community of practitioners and researchers with an interest in exploring the many aspects of data quality.
The programme will feature:
• Leading-edge research and applications
• Discussions of open topics
• Workshops to help individuals & groups spot opportunities for themselves
• Networking opportunities to interact with others passionate about data quality
Tom Redman and Roger Hoerl, authors of "Data Quality and Statistics: Perfect Together?", "AI and Statistics: Perfect Together", "To Create Value with AI, Improve the Quality of Your Unstructured Data", and many other publications.
Organised jointly by the RSS Edinburgh Local Group, the RSS AI Task Force and the RSS Medical Section. Contact Rosemary Tate
rosemary.tate@gmail.com
Concessionary RSS Fellows: £55
RSS Fellows: £80
Non-Fellows: £99
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