On November 29 GLACIATION hosted a webinar to showcase its innovative approach to addressing two pressing challenges in the digital landscape: ensuring privacy and achieving sustainability. The session highlighted the GLACIATION platform’s transformative capabilities through its four use cases, offering practical examples of how AI and metadata-driven solutions can shape the future of data movement.
Introduction
Roberta Lotti, GLACIATION Project Coordinator from the Italian Ministry of Economy and Finance, opened the webinar with institutional...
As we transition into an era of rapid technological advancements and growing environmental concerns, our electrical grid is being phased out in favour of a smarter, more dynamic alternative: the smart grid. But what exactly is a smart grid, and why do we need it? How does this shift affect privacy, and how can cutting-edge solutions like GLACIATION mitigate these risks?
What is the Smart Grid and Why is it Necessary?
The electrical grid is akin to an orchestra, where large producers like hydroelectric or nuclear plants, and big...
On September 3, 2024, the Lisbon Council presented at the "Data-driven Applications for Exascale Supercomputers" workshop during the EMCIS Conference in Athens. This session featured the talk, "Data for Sustainability: Sustaining Economic and Environmental Security in the Era of Growing Data Volumes and the Advent of Multi-Scale AI," spotlighting the innovative GLACIATION project. Through advanced AI and high-performance computing (HPC), GLACIATION is pioneering sustainable data operations, aiming to secure both economic and environmental stability in an era of expanding...
Access to real-time renewable energy data can significantly enhance the GLACIATION platform, enabling it to shore up the intelligent management of data movement and operations using a novel metadata fabric and an AI-powered optimiser focused on green and privacy imperatives. By determining the energy profile of the electrical power supply, the GLACIATION platform can base some of its data movement and operation decisions, across the cloud-edge continuum, on the specific energy profile at any given time. For example, non-urgent data transfers and operations can be scheduled to coincide with...
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