Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Technology solutions for data analytics with privacy and data control

Stephen Hardy (National ICT Australia)
4:00pm–4:40pm Wednesday, 12/02/2015
Data Science and Advanced Analytics
Location: 321-322 Level: Intermediate
Average rating: ****.
(4.17, 6 ratings)
Slides:   1-PDF 

Prerequisite Knowledge

Introductory material will be generally accessible. Some use case descriptions will require knowledge of some predictive analytics algorithms such as non-linear regression, clustering, and model fitting.

Description

With the explosion of information collection and big data analytics, the inherent value of data is often diluted by being shared without constraint. This happens at the individual level with loss of privacy, and also at the business level with loss of confidentiality and control.

In this talk, we will give an overview of the different methods of combining data from multiple sources for analysis without sharing data – partially homomorphic encryption, secure multiparty computation, and new results on machine learning from aggregated data.

These techniques will be illustrated with real world examples from:

  • The enterprise – credit risk assessment and fraud detection by combining data sets from different organisations without them having to disclose their data to anyone
  • Personalised medicine – calculating dosages from a person’s genome without revealing the genome
  • The IoT – calculating predictive models from device data without learning the data itself

We will explain how these technologies, as they mature, will allow individuals, businesses, and governments to maintain the benefits of a data-driven society, without losing control of their information or diluting its value.

Stephen Hardy

National ICT Australia

Dr. Stephen Hardy is technology directory at National ICT Australia. He has extensive experience in applying data analytics to problems in industry and government. He was previously head of Canon’s Image and Video Research and Development Centre in Sydney, Australia. He holds a PhD in Astrophysics from the University of Sydney.