Tech insight Hazy synthetic data quality metrics explained Synthetic data generation is proven to be a better way to protect data privacy while preserving util… By Armando Vieira
Tech insight What is synthetic data? Learn how synthetic data enables firms to innovate without privacy risks By Harry Keen
Tech insight The Beauty of GANs: Sharing insights without sharing data Generative Adversarial Networks or GANs are the most forward-thinking machine learning framework tha… By Armando Vieira
Tech insight How to generate sequential, time-series synthetic data We share a way to dramatically increase the fidelity of sequential and time-series synthetic data. By Jennifer Riggins
Tech insight Generating synthetic data with referential integrity using GANs Most organizations want to get value out of consumer data, without risking customer privacy. By Armando Vieira
Tech insight How Hazy uses deep learning models to create synthetic datasets The generative adversarial network or GANs is changing the way we build on deep learning and is driv… By Johnny Kelsey
Tech insight Synthetic scooter journeys: How synthetic data and differential privacy work Using Hazy to generate synthetic geographical data By Emile Joubert
Tech insight How synthetic data bridges data science and traditional engineering Silos are dangerous to modern financial orgs. Understanding synthetic data can build collaboration b… By Armando Vieira
Tech insight Python implementation of synthpop Reimplementation in Python of the R package synthpop, a tool for producing synthetic data containing… By Georgi Ganev
Tech insight Business insight Anonymised Data What is data anonymisation, how do you put it to use and what are its strengths and weaknesses as a … By James Arthur
Tech insight Business insight Anonymisation vs Pseudonymisation vs Synthetic Data Comparison and analysis of the pros and cons of anonymisation, pseudonymisation and synthetic data a… By James Arthur
Tech insight Data anonymisation - what, why and how? Data anonymisation is a set of processes and methods applied to a dataset in order to ensure that da… By Sofiane Mahiou