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Subject: AWS Media & Entertainment : Quoi de Neuf
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From: "Marchand, Guillaume" <gmarchan@amazon.fr>
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Date: Fri, 28 Jun 2024 17:18:41 +0200
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                       <div><span>Newsletter Media & Entertainment du lundi  9 mars 2026 au vendredi 20 mars 2026</span>
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                       <div><span>Innovations AWS : IA générative, streaming sportif et architectures Cloud sécurisées</span>
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                                <span>#Compute</span>
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                                <span>#GenAI</span>
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                                <span>#ML</span>
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                                <span>#Network</span>
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                                <span>#Security</span>
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          <!-- END MODULE: Link Menu -->

 
          <!-- BEGIN MODULE: Subtitle -->
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                    <div><span>Cette newsletter présente les dernières avancées AWS couvrant la personnalisation publicitaire dans le streaming sportif, la construction de data lakes transactionnels avec Apache Iceberg, l'expansion de l'infrastructure IA avec NVIDIA, les innovations en Generative AI incluant agents autonomes et génération vidéo intelligente, les nouveaux outils de personnalisation des modèles Amazon Nova, les architectures multi-comptes pour API Gateway privées, et les mécanismes de sécurisation des agents IA avec Policy dans Amazon Bedrock AgentCore.</span>
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          <!-- BEGIN MODULE: Content 17 -->
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                       <div><span>Media, Sport and Video</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=I9J2aRbZ3ls" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Preparation Station : Utilisation de TOURCAST | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=I9J2aRbZ3ls" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>L'épisode 1 de cette série en 4 parties explore comment TOURCAST, propulsé par AWS, permet aux joueurs et caddies du PGA TOUR de se préparer efficacement aux différents parcours et conditions de jeu grâce à l'analyse de données avancée.</span>
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                       <div><span>Media, Sport and Video</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/how-sony-pictures-networks-india-delivered-personalized-ad-insertion-at-scale-on-aws/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Comment Sony Pictures Networks India a fourni l'insertion publicitaire personnalisée à grande échelle sur AWS</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/how-sony-pictures-networks-india-delivered-personalized-ad-insertion-at-scale-on-aws/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Sony Pictures Networks India successfully delivered personalized advertisements to over 10 million concurrent viewers during the Asia Cup Cricket 2025 by leveraging AWS Elemental MediaTailor's pre-fetch optimization and PING-based tracking capabilities, integrated with Google Ad Manager in a multi-CDN architecture that maintained broadcast-grade reliability while serving billions of ads across 19 matches.</span>
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                       <div><span>Media, Sport and Video</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=baC3yoz7BaA" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Dans les coulisses avec le @PGATOUR Épisode 2 : PGA TOUR Studios | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=baC3yoz7BaA" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amanda Balionis visite les nouveaux PGA TOUR Studios à Ponte Vedra, en Floride, un centre de production de nouvelle génération alimenté par AWS qui redéfinit la façon dont le golf est capturé, analysé et diffusé à des millions de fans dans le monde entier.</span>
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                     <a name="Media" id="Media"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Media, Sport and Video</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/mediaconnect-ndi-inputs/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS Elemental MediaConnect ajoute la prise en charge des entrées NDI®</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/mediaconnect-ndi-inputs/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS Elemental MediaConnect prend désormais en charge les entrées NDI®, permettant aux équipes de production en direct d'intégrer des flux NDI dans des workflows de distribution Cloud basés sur des standards comme SRT sans infrastructure de transcodage personnalisée.</span>
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                     <a name="Analytics" id="Analytics"></a>
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                       <div><span>Analytics</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/big-data/building-a-scalable-transactional-data-lake-using-dbt-amazon-emr-and-apache-iceberg/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Construire un data lake transactionnel et évolutif en utilisant dbt, Amazon EMR et Apache Iceberg</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/big-data/building-a-scalable-transactional-data-lake-using-dbt-amazon-emr-and-apache-iceberg/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Ce blog post explique comment construire un data lake transactionnel et évolutif en combinant Apache Iceberg pour la conformité ACID, dbt pour les transformations SQL versionnées, et Amazon EMR pour le traitement distribué, permettant ainsi de gérer des transactions et des analyses simultanées tout en maintenant l'intégrité des données et des insights en temps réel.</span>
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                     <a name="Compute" id="Compute"></a>
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                       <div><span>Compute</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-ec2-m8i-m8i-flex-additional-regions/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Les instances Amazon EC2 M8i et M8i-flex sont désormais disponibles dans des Régions AWS supplémentaires</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-ec2-m8i-m8i-flex-additional-regions/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Les instances Amazon EC2 M8i et M8i-flex, propulsées par des processeurs Intel Xeon 6 personnalisés exclusifs à AWS, sont désormais disponibles dans les régions Europe (Irlande) et Europe (Londres), offrant jusqu'à 15% de meilleure performance-prix et des gains de performance allant jusqu'à 60% pour certains workloads par rapport aux générations précédentes.</span>
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                     <a name="Compute" id="Compute"></a>
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                       <div><span>Compute</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/aws-and-nvidia-deepen-strategic-collaboration-to-accelerate-ai-from-pilot-to-production/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS et NVIDIA approfondissent leur collaboration stratégique pour accélérer l'IA du pilote à la production</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/aws-and-nvidia-deepen-strategic-collaboration-to-accelerate-ai-from-pilot-to-production/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS et NVIDIA étendent leur collaboration stratégique avec le déploiement de plus d'un million de GPU NVIDIA à partir de 2026, l'intégration de nouvelles instances Amazon EC2 avec GPU RTX PRO 4500 Blackwell Server Edition, l'accélération de l'interconnexion pour l'inférence LLM avec NVIDIA NIXL sur AWS EFA, des performances Apache Spark 3x plus rapides avec Amazon EMR sur Amazon EKS utilisant des instances G7e, et un support étendu des modèles NVIDIA Nemotron sur Amazon Bedrock pour permettre aux entreprises de déployer des solutions IA en production à grande échelle.</span>
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                     <a name="DeveloperTools" id="DeveloperTools"></a>
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                       <div><span>Developer Tools</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=27xgil6P20w" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Kiro PBT | Vérifiez que votre code correspond à votre spécification | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=27xgil6P20w" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Kiro utilise le property-based testing pour vérifier automatiquement que votre code correspond à vos spécifications en traduisant les exigences au format EARS en propriétés universelles, en générant des entrées stratégiques via le framework Hypothesis, et en assurant une traçabilité complète entre chaque propriété et les exigences de votre spécification.</span>
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                     <a name="GenAI" id="GenAI"></a>
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                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/run-nvidia-nemotron-3-nano-as-a-fully-managed-serverless-model-on-amazon-bedrock/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Exécutez NVIDIA Nemotron 3 Nano en tant que modèle serverless entièrement géré sur Amazon Bedrock</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/run-nvidia-nemotron-3-nano-as-a-fully-managed-serverless-model-on-amazon-bedrock/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>NVIDIA Nemotron 3 Nano, un petit modèle de langage avec architecture hybride Mixture-of-Experts, est désormais disponible en tant que modèle serverless entièrement géré sur Amazon Bedrock, offrant une précision de pointe pour le codage et le raisonnement avec 30 milliards de paramètres (3 milliards actifs), une longueur de contexte de 256K, et une intégration native avec Amazon Bedrock Guardrails et Amazon Bedrock Knowledge Bases pour créer des applications d'IA générative sécurisées et performantes.</span>
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                     <a name="GenAI" id="GenAI"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-bedrock-observability-ttft-quota/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Amazon Bedrock prend désormais en charge l'observabilité de la First Token Latency et de la Quota Consumption</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-bedrock-observability-ttft-quota/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amazon Bedrock introduit deux nouvelles métriques CloudWatch pour améliorer l'observabilité des applications Generative AI : TimeToFirstToken pour surveiller la latence du premier token dans les APIs streaming, et EstimatedTPMQuotaUsage pour suivre la consommation de quota en tokens par minute.</span>
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                     <a name="GenAI" id="GenAI"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/accelerating-sports-content-creation-usingagentic-ai-pga-tour/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Accélérer la création de contenu sportif en utilisant l'IA agentique : PGA TOUR</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/accelerating-sports-content-creation-usingagentic-ai-pga-tour/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Le PGA TOUR utilise Amazon Bedrock pour générer automatiquement plus de 1200 contenus sportifs par semaine grâce à un système multi-agents spécialisés qui collaborent de manière autonome pour rechercher, créer, valider et publier du contenu en quelques minutes après les événements en direct, réduisant les coûts de 95% tout en maintenant la précision des données et les standards de marque.</span>
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                     <a name="GenAI" id="GenAI"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/build-an-ai-powered-a-b-testing-engine-using-amazon-bedrock/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Créer un moteur de tests A/B alimenté par l'IA en utilisant Amazon Bedrock</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/build-an-ai-powered-a-b-testing-engine-using-amazon-bedrock/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Ce blog post explique comment construire un moteur de tests A/B alimenté par l'IA en utilisant Amazon Bedrock, Amazon ECS, Amazon DynamoDB et le Model Context Protocol pour améliorer l'expérimentation traditionnelle grâce à l'analyse du contexte utilisateur en temps réel, l'attribution intelligente de variantes et l'apprentissage continu des comportements, permettant d'atteindre des résultats statistiquement significatifs plus rapidement tout en réduisant le bruit et en personnalisant l'expérience utilisateur via une architecture serverless évolutive.</span>
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                     <a name="GenAI" id="GenAI"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Generative AI</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/introducing-v-rag-revolutionizing-ai-powered-video-production-with-retrieval-augmented-generation/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Présentation de V-RAG : révolutionner la production vidéo alimentée par l'IA avec Retrieval Augmented Generation</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/introducing-v-rag-revolutionizing-ai-powered-video-production-with-retrieval-augmented-generation/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Video Retrieval-Augmented Generation (V-RAG) combine la technologie de récupération d'images à partir de bases de données vectorielles avec des modèles de génération vidéo pour créer du contenu vidéo personnalisé, précis et traçable sans nécessiter de fine-tuning coûteux, offrant ainsi une solution évolutive pour la production vidéo basée sur l'IA dans des domaines tels que l'éducation, le marketing et la création de contenu personnalisé.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-bedrock-agentcore-runtime-stateful-mcp/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Amazon Bedrock AgentCore Runtime prend désormais en charge les fonctionnalités de serveur MCP avec état</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-bedrock-agentcore-runtime-stateful-mcp/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amazon Bedrock AgentCore Runtime prend désormais en charge les fonctionnalités stateful du Model Context Protocol (MCP), permettant aux développeurs de créer des serveurs MCP capables de collecter des informations utilisateur de manière interactive, de demander du contenu généré par LLM et de fournir des notifications de progression en temps réel pour des workflows d'agents complexes et interactifs.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/agentcore-memory-streaming-ltm/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Amazon Bedrock AgentCore Memory annonce des notifications streaming pour la mémoire à long terme</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2026/03/agentcore-memory-streaming-ltm/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amazon Bedrock AgentCore Memory propose désormais des notifications en streaming pour la mémoire à long terme, permettant aux développeurs de recevoir automatiquement des mises à jour via Amazon Kinesis sans avoir à interroger le système pour détecter les changements.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=_3IYcMd2gqA" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>AWS et Cerebras s'associent pour créer l'inférence IA la plus rapide possible | Amazon Web Services</span>
                      </a>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=_3IYcMd2gqA" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>AWS et Cerebras collaborent pour offrir l'inférence IA la plus rapide via Amazon Bedrock en combinant les serveurs Trainium3 et les systèmes CS-3, utilisant une technique de désagrégation qui sépare le traitement des requêtes et la génération de sortie pour optimiser les performances de chaque étape sur le matériel le plus adapté.</span>
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                     <a name="ML" id="ML"></a>
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: 500; font-variant-ligatures: normal; color: #40be65; text-align: left; text-align-last: left;">
                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/kick-off-nova-customization-experiments-using-nova-forge-sdk/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Lancez des expérimentations de personnalisation Nova en utilisant le SDK Nova Forge</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/kick-off-nova-customization-experiments-using-nova-forge-sdk/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Le Nova Forge SDK simplifie la personnalisation des modèles de langage Amazon Nova en automatisant l'infrastructure et la configuration, permettant aux équipes d'améliorer la précision de classification de 13% à 80,6% grâce à une approche itérative combinant Supervised Fine-Tuning (SFT) et Reinforcement Fine-Tuning (RFT), avec déploiement sur Amazon SageMaker AI ou Amazon Bedrock.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/evaluating-ai-agents-for-production-a-practical-guide-to-strands-evals/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Évaluer les agents IA pour la production : Un guide pratique de Strands Evals</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/evaluating-ai-agents-for-production-a-practical-guide-to-strands-evals/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Ce guide pratique présente Strands Evals, un framework d'évaluation systématique pour agents IA qui combine des évaluateurs basés sur des LLM, des simulations multi-tours avec ActorSimulator, et une architecture hiérarchique permettant d'évaluer la qualité des agents à différents niveaux (session, trace, et outil) pour faciliter le passage du prototype à la production.</span>
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                       <div><span>Network</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/networking-and-content-delivery/using-cross-account-cloudfront-vpc-origins-for-multi-account-private-api-gateway-architecture/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Utilisation des origines VPC CloudFront inter-comptes pour une architecture API Gateway privée multi-comptes</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/networking-and-content-delivery/using-cross-account-cloudfront-vpc-origins-for-multi-account-private-api-gateway-architecture/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Les origines VPC multi-comptes d'Amazon CloudFront permettent aux organisations de déployer des API Gateway privées à travers plusieurs comptes AWS tout en maintenant l'isolation de sécurité, l'autonomie des équipes et une gestion centralisée de la distribution grâce à une architecture basée sur des sous-domaines spécifiques par équipe et le partage de ressources via AWS RAM.</span>
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                       <div><span>Security</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/secure-ai-agents-with-policy-in-amazon-bedrock-agentcore/" style="text-decoration: none; line-height: 142%; letter-spacing: -0.4px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 18px; font-weight: bold; font-variant-ligatures: normal; color: #151515; text-align: left; text-align-last: left;">
                       <span>Sécurisez les agents IA avec Policy dans Amazon Bedrock AgentCore</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/secure-ai-agents-with-policy-in-amazon-bedrock-agentcore/" style="text-decoration: none; line-height: 156%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal; font-variant-ligatures: normal; color: #9b9b9b; text-align: left; text-align-last: left;">
                    <span>Amazon Bedrock AgentCore Policy utilise le langage Cedar pour appliquer des règles de sécurité déterministes et auditables aux agents IA en interceptant chaque requête au niveau de la Gateway, permettant ainsi un contrôle d'accès granulaire basé sur l'identité et l'application de règles métier indépendamment du raisonnement de l'agent, comme démontré par un agent de planification de rendez-vous médicaux qui protège les données sensibles des patients.</span>
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