Welcome to the Statice blog,
your feed for everything synthetic data!

May 18, 2022
Synthetic data

8 types of data bias that can wreck your machine learning models

If you want to build a fair AI project and use data ethically, you have to know the types of data bias to spot them before they wreck your machine learning models.
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Data privacy
Pseudonymization vs anonymization
March 29, 2022

Pseudonymization and anonymization are closely related but fall under different categories according to the GDPR. If you want to use sensitive data while meeting all data protection obligations, make sure you understand all the nuances of those methods.

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Synthetic data
How to use synthetic data in Machine Learning and AI
March 7, 2022

From improving time to data to removing privacy constraints, learn how to use synthetic data in machine learning to enhance AI projects.

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Statice Software
Generate high-fidelity synthetic data with the Statice SDK
December 21, 2021

In this blog post, we walk through how to evaluate synthetic data quality and performance for Machine Learning using components from the Statice SDK.

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Use case
How healthcare enterprises can benefit from synthetic data
April 14, 2022

This article looks at the data challenges of healthcare companies and how to leverage synthetic health data to move past these obstacles with practical applications in healthcare.

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Synthetic data
The validity and impact of synthetic data in healthcare
November 24, 2021

In this post, we summarized the insights from the discussion between health data experts from AstraZeneca, Charité, InGef, and Statice during the panel session on synthetic data at the Medica conference 2021.

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Interview
About data privacy in insurance: Statice on the Digital Insu
November 17, 2021

Our CEO Omar was invited to the Digital Insurance Podcast to discuss with Jonas Piela about digital privacy, data use in insurance, and innovation. Check the episode highlights in this blog post.

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Interview
10 answers on privacy-preserving machine learning
September 16, 2021

In this interview, Machine Learning and privacy researcher Franziska Boenisch explains the logic behind privacy attacks and defense mechanisms for machine learning models. Learn about model vulnerability, Differential Privacy, DP-SGD algorithm, and privacy assessment.

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Data privacy
How to manage re-identification risks with synthetic data
July 27, 2021

This article covers the main privacy risks associated with anonymized data. We also describe the levels of re-identification protection of data protection techniques; the privacy-preservation properties of synthetic data.

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Interview
Synthetic data, real use-cases: a talk with our product team
July 16, 2021

This post is part of a series of discussions with the Statice team. Borbala and José from our product team shared their learnings on synthetic structured data generation.

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