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Category: Data governance

Insights from IAPP AI Governance Global 2024

3.07.2024
In early June, Euranova's CTO Sabri Skhiri, attended the IAPP AI Governance Global 2024 conference in Brussels. In this article, Sabri will delve into some of the keynotes, panels and talks that took place during the summit, highlighting the noteworthy insights and innovations shared by industry leaders.

Internships 2024

8.11.2023
This document presents internships supervised by our consulting department or by our research & development department. Each project is an opportunity to feel both empowered and responsible for your own professional development and for your contribution to the company.

Privacy Enhancing Technologies 2023: A Summary

5.05.2023
In March 2023, our research director Sabri Skhiri travelled to London to attend the Privacy Enhancing Technologies Summit 2023, dedicated to PETs and their uses (enhance data security, facilitate compliance, and create value).

Privacy Enhancing Technologies 2022: A Summary

10.05.2022
In April 2022, our research director Sabri Skhiri travelled to Zurich to attend the Privacy Enhancing Technologies Summit 2022, dedicated to PETs and their uses (enhance data security, facilitate compliance, and create value).

Policy-based Automated Compliance Checking

27.07.2021
Under the GDPR requirements and privacy-by-design guidelines, access control for personal data should not be limited to a simple role-based scenario. For the processing to be compliant, additional attributes, such as the purpose of processing or legal basis, should be verified against an established data processing agreement or policy.

A Combined Rule-Based and Machine Learning Approach for Automated GDPR Compliance Checking

19.04.2021
The General Data Protection Regulation (GDPR) requires data controllers to implement end-to-end compliance. Controllers must therefore ensure that the terms agreed with the data subject and their own obligations under GDPR are respected in the data flows from data subject to controllers, processors and sub-processors (i.e. data supply chain).

DMMM: Data Management Maturity Model

19.02.2021
The assessment of the digital transformation progress is essential to understand and undertake in order to evaluate the level of maturity of data-driven companies in terms of data capabilities and to plan for improvement actions.

A Survey of Maturity Models in Data Management

19.02.2021
Maturity models are helpful business tools that refine and develop how organizations conduct their businesses and benchmark their maturity status against a scale or with industry peers. They serve to prioritize the actions for improvement better and control the progress in reaching the target maturity stage.

Privacy Policy Classification with XLNet

24.08.2020
The popularisation of privacy policies has become an attractive subject of research in recent years, notably after the General Data Protection Regulation came into force in the European Union. While GDPR gives Data Subjects more rights and control over the use of their personal data, length and complexity of privacy policies can still prevent them from exercising those rights. An accepted way to improve the interpretability of privacy policies is...

Towards Privacy Policy Conceptual Modeling

21.08.2020
After GDPR enforcement in May 2018, the problem of implementing privacy by design and staying compliant with regulations has been more prominent than ever for businesses of all sizes, which is evident from frequent cases against companies and significant fines paid due to non-compliance. Consequently, numerous research works have been emerging in this area....
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