ALMAVIVA
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TEADAL Unveils AI-Driven Performance Monitoring System to Optimise IT Resource Utilisation

TEADAL has introduced a cutting-edge AI-Driven Performance Monitoring (AI-DPM) system aimed at revolutionising how IT systems are monitored and optimised. This new approach leverages AIOps to provide real-time anomaly detection and predictive insights into resource utilisation, particularly focused on enhancing efficiency and system performance.

Unlocking the Future of Privacy-Aware Federated Data Lakes: Insights from TEADAL
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Unlocking the Future of Privacy-Aware Federated Data Lakes: Insights from TEADAL

In the era of data-driven applications, safeguarding sensitive information is paramount, giving rise to privacy and confidentiality requirements in large data processing scenarios. Tackling these issues is at the forefront of the TEADAL project, which is dedicated to the development of trustworthy and privacy-aware federated data lakes.

AMTS Catania
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Data Analysis at the service of public mobility

Digitalisation and data sharing are essential processes for the implementation of new mobility information services. The European Commission, through specific directives, is requesting the implementation of National Access Points (NAPs) from the transport authorities of each EU country to facilitate the sharing and re-use of transport and mobility data.

ALMAVIVA
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Leveraging Blockchain for Federated Data Lakes: An overview

Blockchain technology, once synonymous only with cryptocurrencies, has now permeated various sectors, including data management. This article introduces the benefits of incorporating blockchain technology in federated data lakes for data sharing, the differences between public and private blockchains, and the concept of Layer 2 solutions with some examples.