Is your organisation using AI and do you want to gain more insights into the AI models that are circulating within your organisation? And when you know which models are being used, is it also clear what data is being used for these models? And how do you make sure that the models that are […]
How to navigate the challenges & opportunities of AI Governance Read More »
How to prepare for the future with the Data Act? It is expected that the Data Act will be implemented in 2025. The Data Act is a key component of the digital strategy of the European Union. This act stimulates data exchange, innovation, and creates a fair digital marketplace. For companies, this means more transparency
Data Act: prepare yourself for the future of data Read More »
Why does Frugal AI need AI Governance? Frugal AI is an exciting new concept that is all about making artificial intelligence smarter, leaner, and more sustainable. Imagine getting the best possible results from AI while using minimal resources, that’s Frugal AI in a nutshell. It is about building AI that blows your mind without blowing
Navigating Sustainability: Understanding the CSRD and CSDDD In an era where sustainability is a critical business imperative, regulations like the Corporate Sustainability Reporting Directive (CSRD) and the Corporate Sustainability Due Diligence Directive (CSDDD) are shaping the future of corporate governance in Europe and beyond. These two directives, both pillars of the European Union’s Green Deal,
Introduction to Data Lineage In today’s data-driven landscape, understanding how data flows through various systems is essential for ensuring data accuracy, regulatory compliance, and business efficiency. As the volume and complexity of data continue to rise, organisations must turn to data lineage platforms to maintain control. This whitepaper, authored by Suzanne Backer, provides a comprehensive
Ensuring and maintaining Data Quality In the digital age, ensuring Data Quality is essential for businesses to make sound decisions and optimize operations. Inaccurate, incomplete, duplicate, and redundant data are all too common in businesses today. According to Gartner’s Data Quality Market Survey, poor Data Quality costs organisations an average of $15 million annually. At
