This blogpost explains how the FAME Marketplace offers pre-built analytical tools for effective customer segmentation, and explore two use cases: improving financial recommendations and developing loyalty programs for parking in Athens.

Given nowadays increasing complexity of software systems, their architectural design prior to their actual implementation becomes quite complicated.

Chapter 8 of the book Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025. ISBN 978-1-63828-506-9. E-ISBN 978-1-63828-507-6.

In today’s ever-changing technological landscape, companies are constantly looking for innovative ways to increase efficiency and minimize costs, and even more nowadays with the advent of artificial intelligence and large language models.

The COVID-19 pandemic is an example of a temporary situation when critical infrastructure (CI) operators had to operate with continuously changing conditions. The role of cyber infrastructure during pandemics, for example for the remote work or access to critical systems, has also changed.

"Critical infrastructure operators across Europe must prepare their facilities, equipment, and personnel to operate under more strenuous conditions in a warming climate. 

The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.

It is widely known that we are living through a historic moment in the field of artificial intelligence (AI), capturing the attention of the entire world with spectacular results across multiple application fields, especially in text and image generation.

Artificial intelligence helps coordinate precision agriculture tasks

"Risk and resilience are interconnected concepts. In fact, one of our goals in SUNRISE is to integrate resilience metrics with risk metrics.

In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.

The CROSSCON is a research project that targets developing research ideas into practical techniques and supporting prototypes, and the level of ambition is to validate results in lab conditions that are representative of a complex IoT system (i.e., technology readiness levels TRL 4 and TRL5).

In recent years, the development and refinement of artificial intelligence (AI) technologies have revolutionised various fields, including computer vision.

As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.

Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.

The fact than more and more Cyber-Physical or IoT systems are integrated in vehicle fleets, coupled with the growing connectivity of these devices, poses a higher risk of cyber attacks, due to the increased attack surface.