‍24 / 06 / 2020

Not all synthetic data is created equal

Not All Synthetic Data is Created Equal webinar: View On-Demand


Not All Synthetic Data is Created Equal webinar is part of the Equilibrium Webinar Series. A blend of thought-provoking panel discussions and inspiring speaker presentations.  Each month we will examine the data and privacy trends and developments impacting businesses in 2020 and beyond.

EquilibriumNot All Synthetic Data is Created Equal webinar – Quantifying Risk and Utility


Presenter:  Dr. Michael Fenton , Data Scientist, Truata


Key Areas Covered:

  • Privacy-enhancing technologies (PETs) enable analysis on data without falling foul of increasingly strict data protection regulations
  • Is it possible to quantify privacy and re-identification risk before and after the application of PETs to demonstrate whether privacy risk has been reduced?
  • Failing to objectively measure privacy risk in a dataset can leave companies exposed to regulator scrutiny, fines, and sanctions. This session will include a working example of quantifying privacy risk in synthetic data

Dr. Michael Fenton, Data Scientist at Truata

Michael Fenton is a member of the Data Science team at Truata and brings with him extensive experience in optimization, machine learning, data science, and engineering. He has lectured in engineering & business analytics at University College Dublin, has developed anomaly detection and user identification techniques at Corvil in the role of Senior Data Scientist, and has an affinity for designing and delivering ground-up solutions for data science problems.

Upcoming Topics
From the erosion of customer trust to the demand for personalization, our speakers will explore the intersection between the growing data-driven economy and the evolving global privacy landscape. Follow the link to view the full Equilibrium Webinar Series agenda.