We are a Microsoft Solution Partner for Data & AI
Euranova’s team is thrilled to partner with Microsoft, combining our expertise in data engineering, governance and artificial intelligence with Azure’s advanced technologies to empower our clients.
How to turn KPIs into data governance allies?
Can KPIs enhance the management of your data governance program? We explore the pros and cons, and share practical strategies to integrate KPIs across all organisational levels.
The critical role of governance in ensuring sustainable success for AI adoption
From creating comprehensive inventories of AI systems to navigating complex legal landscapes and adopting risk-based assessment approaches, our data governance expert Carmen Cercelescu explores for you the multifaceted challenges and strategies essential for implementing robust AI governance frameworks.
AI Governance beyond compliance: lessons from IAPP Global 2024
Early June, Euranova's CTO, Sabri Skhiri, attended the IAPP AI Governance Global 2024 conference in Brussels. In this article, we delve into the key takeaways such as the necessity for standardised AI practices, the intricacies of navigating the AI Act, and the critical role of AI governance in enhancing organisational productivity and compliance.
Tech insights from IAPP AI Governance Global 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.
Navigating the future of AI governance
Beyond the obligation for high risk systems to conduct a data protection impact assessment, the value added of impact assessments for IA models would rely on the risks covered, the economic dimension of such assessment and its interest in terms of IA governance. The panel at CPDP conference discuss the content and benefits of user-centric impact assessments for IA across the value chain.
Tech Insights from the PET Summit 2024
The recent Privacy Enhancing Technologies (PETs) London Conference convened stakeholders across Legal, IT, and various business domains to delve into the evolving data privacy and security landscape. Here, we distil the key themes and insights shared during the conference, shedding light on the interesting talks.
The Building Blocks of a Responsible AI Practice: An Outlook on the Current Landscape
Responsible AI comes with the challenge of implementation. This survey aims to bridge the gap between principles and practice through a study of different approaches taken in the literature and the proposition of a foundational framework.
Explore the nuances of the European AI Act
This conversation offers an in-depth examination of the #EuropeanAIAct and its potential impact on the world for ethical AI. An important discussion with Maria Leitão Marques, Member of the European Parliament; Bianca Manelli, Officer for AI and Data Policy at Digital Europe; Eric Delacroix, Partner at Euranova and Daniela Braga, founder and CEO of Defined.AI.
Tech Insights from the PET Summit 23
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).
Breaking data barriers
A major automaker pursued a rapid digital overhaul, requiring strong data governance to break silos, ensure GDPR compliance, and enable a scalable data‑mesh foundation.
A reference data governance framework
Find out how to implement a robust and agile approach to end-to-end data governance (part 4).
Efficiency through data governance
A transport company struggled with scattered data and legacy systems, slowing collaboration and critical projects. They needed a centralized platform and operating model to unify governance, improve visibility, and streamline secure, business‑aligned data delivery.
Assess your data maturity with our data maturity model
Read how to evaluate your current company maturity in terms of data management and advanced analytics and how to move forward with our Data Maturity Model.
An agile end-to-end data governance approach
Find out how to implement a robust and agile approach to end-to-end data governance.
Why is data governance important?
Read why you need data governance to bring your data to the rank of a strategic asset.
Data driven- IT operations in banking
A Belgian bank sought to become data‑driven by unifying fragmented IT data, automating reporting, and building secure pipelines to deliver reliable KPIs, faster decisions, and GDPR‑compliant insights across its IT operations.
Creating a culture of privacy
Find out how to mainstream privacy and create a culture of data protection.
A Combined Rule-Based and Machine Learning Approach for Automated GDPR Compliance Checking
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).