At the core of Prometheus-X’s mission to revolutionize data processing and AI processing is a breakthrough solution: Edge Computing AI Processing. This innovation is designed to harness the full potential of distributed edge computing infrastructure, a sophisticated framework typically managed by cloud providers. The core of this initiative is twofold: it focuses on privacy preservation and the efficiency of near-data processing.

Edge Computing AI Processing aims to address the growing concern about privacy by ensuring that data remains in a predefined privacy zone close to the user. This approach not only protects sensitive information, but also reduces the need for extensive data transfer, optimizing performance and resource utilization.

Moving processing functions closer to the data source and running them on-premises via Functions as a Service (FaaS) or Container as a Service (CaaS) orchestrated by platforms such as Kubernetes/Knative is revolutionizing the way data is processed and protected.

FaaS allows developers to write code in the form of individual functions that are executed only when needed, without having to manage a server infrastructure. This offers high flexibility and efficiency, especially in scenarios with variable demand. CaaS, on the other hand, is based on containerization, where applications and their dependencies are packaged in containers, enabling consistent operation across different computing environments. This method improves scalability and simplifies the deployment process, while further ensuring data integrity and security.

The benefits of this system go beyond mere data processing – it represents a significant leap towards a human-centric, decentralized and sustainable functional data space in various sectors, including education. In a world where the need for education and training is becoming increasingly important, as highlighted by a McKinsey study that 94 million Europeans need to learn new skills due to automation, this technology offers a robust solution. It enables secure, decentralized data sharing and connects services and data in a way that is accessible to all, improving learning opportunities, job options and skills.

What sets Edge Computing AI Processing apart is its ability to balance the need for data privacy with the need for efficiency and scalability in data processing. This is achieved within a human-centric framework that aligns with Prometheus-X’s vision of leveraging high-quality data for better decision making in public organizations, enterprises and research. This initiative not only facilitates the seamless flow of data within the EU and between sectors, but also respects the privacy and ownership of individual users and organizations.