Calcolare l'impatto ambientale di un sito web | Piano D
In Piano D siamo in prima linea nella riduzione dell’impatto ambientale del web. Se vogliamo raggiungere questo obiettivo, una delle fasi più importanti è la misurazione. In questo articolo vogliamo spiegare come noi calcoliamo l’impatto ambientale di un sito web, in particolare il consumo energetico, e come questa pratica sta evolvendo nel tempo. Metodologia Il […]
GreenOps through FinOps: How to kick-start your cloud sustainability journey with work you've already done (Guest blog from Greenpixie)
GreenOps means maximising the value of your cloud provisions for sustainability as well as typical considerations like performance, security, and cost.
Que sait-on des impacts environnementaux de la vidéo en ligne ? L’exemple de Netflix
Le numérique, par sa matérialité (impacts directs) et ses effets sur nos modes de production et de consommation (impacts indirects), contribue au franchissement des limites planétaires. Aurélie Bugeau, Gaël Guennebaud et Benjamin Ninassi nous éclairent sur la contribution de la vidéo à la demande (VoD) aux impacts environnementaux du numérique. Antoine Rouseau, Serge Abiteboul. Article … p class="link-more"a href="https://www.lemonde.fr/blog/binaire/2024/05/24/que-sait-on-des-impacts-environnementaux-de-la-video-en-ligne-lexemple-de-netflix/" class="more-link"Continuer la lecturespan class="screen-reader-text" de « Que sait-on des impacts environnementaux de la vidéo en ligne ? L’exemple de Netflix »/span/a/p
Analyse critique de la nouvelle version du Référentiel Général d'Éco-conception des Services Numériques (RGESN) - 3/3
Découvrez une analyse approfondie des critères de 6 à 9 du Référentiel Général d'Éco-conception des Services Numériques (RGESN) dans cette dernière partie de la série
Audit d'éco-conception et d'accessibilité des supports de communication - Rose Primaire
Évaluer les supports de communication (Réseaux-sociaux, newsletter, page intranet, vidéo et présentations PPT) du Crédit Agricole Technologies et Services (CA-TS)
Fonction et Unité Fonctionnelle
La norme ISO 14044, définit l’Unité Fonctionnelle comme :“Performance quantifiée d’un système de produits, destinée à être utilisée comme unité de référ (...)
Green and sustainable AI research: an integrated thematic and topic modeling analysis - Journal of Big Data
This investigation delves into Green AI and Sustainable AI literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad thematic clusters and nuanced emerging topics. It identifies three major thematic clusters: (1) Responsible AI for Sustainable Development, focusing on integrating sustainability and ethics within AI technologies; (2) Advancements in Green AI for Energy Optimization, centering on energy efficiency; and (3) Big Data-Driven Computational Advances, emphasizing AI’s influence on socio-economic and environmental aspects. Concurrently, BERTopic modeling uncovers five emerging topics: Ethical Eco-Intelligence, Sustainable Neural Computing, Ethical Healthcare Intelligence, AI Learning Quest, and Cognitive AI Innovation, indicating a trend toward embedding ethical and sustainability considerations into AI research. The study reveals novel intersections between Sustainable and Ethical AI and Green Computing, indicating significant research trends and identifying Ethical Healthcare Intelligence and AI Learning Quest as evolving areas within AI’s socio-economic and societal impacts. The study advocates for a unified approach to innovation in AI, promoting environmental sustainability and ethical integrity to foster responsible AI development. This aligns with the Sustainable Development Goals, emphasizing the need for ecological balance, societal welfare, and responsible innovation. This refined focus underscores the critical need for integrating ethical and environmental considerations into the AI development lifecycle, offering insights for future research directions and policy interventions.
Chez OCTO, nous sommes soucieux de l'environnement et de l'impact que nos activités peuvent avoir sur la planète. C'est pourquoi nous avons décidé de mettre en place une démarche d'éco-conception pour la refonte de notre site internet.
[WEBINAR] - Comment appliquer les bonnes pratiques du GreenIT avec le CMS Drupal - Juin2023
Au même titre que l’Accessibilité Numérique, le GreenIT 🌱 (ou éco-conception numérique) est une pratique qui devient essentiel d’inclure dans vos projets We...
Présentation du Référentiel général de l'écoconception des services numériques - RGESN version 2024 - presentation_referentiel_general_ecoconception_des_services_numeriques_version_2024.pdf
Greenspector’s Methodology How does Greenspector Robustly measure the environmental impacts of digital services ? - Methodology_Greenspector_full_EN-Version-202405.pdf
A material social view on data center waste heat: Novel uses and metrics
Today's data centers use substantial amounts of the world's electrical supply. However, in line with circular economy concepts, much of this energy can be reused. Such reuse includes the heating of buildings, but also commodity dehydration, electricity production and energy storage. This multi-disciplinary paper presents several novel applications for data center waste heat. Next, the paper accounts for three case studies, taken from three different societal contexts: urban Malaysia, rural Costa Rica and semi-urban Sweden. A discussion on data center energy metrics leads to the development of a new metric, Datacenter Energy Sustainability Score (DESS), which is evaluated within the three use cases. Last, it is shown how a material social view on metrics provides a way past a problem that has haunted the data center industry for the last 15 years, whilst benefitting both data center owners who want to compete through sustainability as well as stakeholders from governments on local, regional and national levels. The paper makes clear that a sustainability strategy should be based on a material social view and stretch beyond the building itself. In fact, and as demonstrated by the relevance of DESS, modern data centers are so energy-efficient that data center sustainability is no longer mainly an engineering issue, but a matter requiring multi-disciplinary insights, approaches and collaboration.