Unified Customer View - Customer Master Record Solution (CMRS) and Data Management Platform (DMP)
City of Sydney desires to improve our understanding and the way we communicate with our customers and stakeholders. Initially this will be by development of a trusted Customer Master Record Solution (CMRS), bringing together our disparate customer records. This will allow us to make updates across all relevant systems, facilitating excellent customer service and streamlining internal processes. It is envisaged that the solution will be developed on a Data Management Platform (DMP), which should improve Data Quality and reinforce Data Governance.
Via an open Expression of Interest, companies will be invited to propose their capability and solutions. They will be evaluated by their proposals for inclusion in a subsequent paid engagement to demonstrate abilities, proof of concept and innovative value add. During this engagement, companies will have the opportunity to better understand the problems, request additional information, and identify opportunities for unique value add.
Selection for a final contract award will be by evaluating the deliverables at the end of the engagement.
If you are interested in being involved in this upcoming Expression of Interest, please provide your contact details in this link by the 18th of October 2019 to be notified when this event opens.
Chief Executive Officer.
The following talks and Q&A from the recent UTS event.
Passiona Cottee: https://youtu.be/0h3ekHQCK9M
Matthew Beard: https://youtu.be/Hk9bKuCRYsA
Elija Perrier: https://youtu.be/d8f34_ND2lc
Data is now seen as a key resource and artificial intelligence applications are being used more and more by businesses and governments for decision-making, optimization and automation. It is becoming increasingly clear that if these activities are badly managed, people can suffer harm as a result of bad decisions, thoughtless design, and embedded prejudices. This session will explore the practicalities of:
Passiona Cottee collaborates on projects at the nexus of data, automation, privacy and ethics across both public and private sectors. She currently works as data scientist at the CBA and a sessional lecturer in privacy law at UTS. Passiona fuses Bachelor, Graduate and Masters qualifications in law and data science to enable the ethical use of machine learning.
Dr Matt Beard is a husband, dad, pop culture nerd and moral philosopher with an academic background in applied and military ethics. He is an Associate Lecturer at the University of Notre Dame Australia. Matt is also a Fellow at The Ethics Centre, undertaking research into ethical principles for technology.
Elija Perrier is a PhD candidate in quantum machine learning & AI at UTS. He is also a professional support lawyer at Hall & Wilcox.
Tiberio Caetano is Chief Scientist at the Gradient Institute. He has spent the last 20 years working on machine learning in numerous roles as a student, researcher, academic, entrepreneur and practitioner. He spent 10 years at NICTA and in 2012 he co-founded Ambiata, a data science NICTA spin-off focusing on applying rigorous scientific methodologies for personalised decision-making using machine learning, causal inference and randomised controlled trials.