(TO BE PUBLISHED SOON) This paper introduces a new service and security orchestration solution designed to help operators and security providers establish a trust-based relationship in a multi-stakeholder environment.

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 telecom sector continues its transition towards virtualizing infrastructure. The digitalization of assets and their commercialization in a marketplace is expected to play a central role in 6G networks.

In industrial environments, cloud services and the Internet of Things (IoT) converge, with the need to manage complex and diverse computing environments for service and infrastructure providers, a process called cloud continuum.

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.

The upcoming sixth-generation (6G) networks are expected to be more heterogeneous, scalable, reliable, secure and energy-efficient.

Telecommunication networks are undergoing a significant shift from closed and proprietary systems towards open and interoperable networks. This transition allows for greater flexibility and reduced dependence on single providers.

Artificial intelligence helps coordinate precision agriculture tasks

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 full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous technologies and devices, as well as support of latency and bandwidth demanding applications.

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.

Following the Industry 4.0 vision of a full digitization of the industry, time-critical services and applications, allowing network infrastructures to deliver information with determinism and reliability, are becoming more and more relevant for a set of vertical sectors.

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.