33 posts found
How to prepare your data to work with artificial intelligence tools from a legal point of view
The idea of conceiving artificial intelligence (AI) as a service for immediate consumption or utility, under the premise that it is enough to "buy an application and start using it", is gaining more and more ground. However, getting on board with AI isn't like buying conventional software and gettin…
Data governance in smart grids: from the meter to the energy strategy
Energy is the engine of our society, a vital resource that powers our lives and the global economy. However, the traditional energy model faces monumental challenges: growing demand, climate urgency, and the prevailing need for a transition to cleaner and more sustainable sources. In this panorama o…
Federated machine learning: generating value from shared data while maintaining privacy
Data is a fundamental resource for improving our quality of life because it enables better decision-making processes to create personalised products and services, both in the public and private sectors. In contexts such as health, mobility, energy or education, the use of data facilitates more effic…
Industrial data governance: the basis for more efficient and sustainable production
Today's industry is facing one of the biggest challenges in its recent history. Market demands, pressure to meet climate targets, consumer demand for transparency and technological acceleration are converging in a profound transformation of the production model. This transformation is not only aimed…
Data Mesh and Data Fabric: New Perspectives in Enterprise Data Architectures
Over the last decade, the amount of data that organisations generate and need to manage has grown exponentially. With the rise of the cloud, Internet of Things (IoT), edge computing and artificial intelligence (AI), enterprises face the challenge of integrating and governing data from multiple sourc…
The role of open data in the evolution of SLM and LLM: efficiency vs. power
Language models are at the epicentre of the technological paradigm shift that has been taking place in generative artificial intelligence (AI) over the last two years. From the tools with which we interact in natural language to generate text, images or videos and which we use to create creativ…
Common mistakes in the development of a data strategy
In an increasingly data-driven world, all organisations, both private companies and public bodies, are looking to leverage their information to make better decisions, improve the efficiency of their processes and meet their strategic objectives. However, creating an effective data strategy is a chal…
The obligation to provide data to public bodies in exceptional situations in the Data Regulations (Data Act)
The recent Regulation (EU) 2023/2854 of the European Parliament and of the Council of 13 December 2023 on harmonised rules for fair access to and use of data (Data Act) introduces important new developments in European legislation to facilitate access to data generated by connected products and rela…
Linguistic corpora: the knowledge engine for AI
The transfer of human knowledge to machine learning models is the basis of all current artificial intelligence. If we want AI models to be able to solve tasks, we first have to encode and transmit solved tasks to them in a formal language that they can process. We understand as a solved task informa…
User access to data from connected products and related services in the new European Data Regulation ( Data Act)
The adoption of the Regulation (EU) of the European Parliament and of the Council of 13 December 2023 on harmonised rules for fair access to and use of data (Data Law) is an important step forward in the regulation of the European Union to facilitate data accessibility. This is an initiative already…
