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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  8 septembre 2025 au vendredi 19 septembre 2025</span>
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                       <div><span>Innovations AWS : IA Generative, architectures Kubernetes et solutions de développement avancées</span>
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          <!-- BEGIN MODULE: Link Menu -->
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                   <table class="pc-width-hug pc-w620-gridCollapsed-0 pc-w620-dir-ltr" align="center" border="0" cellpadding="0" cellspacing="0" role="presentation">
                    <tr class="pc-grid-tr-first pc-grid-tr-last">

                     <td class="pc-grid-td-lastpc-w620-itemsSpacings-20-0" valign="middle" style="padding-top: 0px; padding-right: 0px; padding-bottom: 0px; padding-left: 5px;">
                      <table border="0" cellpadding="0" cellspacing="0" role="presentation" style="border-collapse: separate; border-spacing: 0;">
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                         <table align="center" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                               <a class="pc-font-alt" href="#Media" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#Media</span>
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                               <a class="pc-font-alt" href="#Analytics" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#Analytics</span>
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                               <a class="pc-font-alt" href="#ContainerK8s" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#ContainerK8s</span>
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                         <table align="center" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                               <a class="pc-font-alt" href="#DevTools" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#DevTools</span>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
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                      <table border="0" cellpadding="0" cellspacing="0" role="presentation" style="border-collapse: separate; border-spacing: 0;">
                       <tr>
                        <td align="center" valign="middle">
                         <table align="center" border="0" cellpadding="0" cellspacing="0" role="presentation">
                          <tr>
                           <td align="center" valign="top">
                            <table border="0" cellpadding="0" cellspacing="0" role="presentation" align="center" style="border-collapse: separate; border-spacing: 0;">
                             <tr>
                              <td valign="top" align="center">
                               <a class="pc-font-alt" href="#GenAI" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#GenAI</span>
                               </a>
                              </td>
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                      <table border="0" cellpadding="0" cellspacing="0" role="presentation" style="border-collapse: separate; border-spacing: 0;">
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                        <td align="center" valign="middle">
                         <table align="center" border="0" cellpadding="0" cellspacing="0" role="presentation">
                          <tr>
                           <td align="center" valign="top">
                            <table border="0" cellpadding="0" cellspacing="0" role="presentation" align="center" style="border-collapse: separate; border-spacing: 0;">
                             <tr>
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                               <a class="pc-font-alt" href="#ML" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#ML</span>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
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                       </tr>
                      </table>
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                      <table border="0" cellpadding="0" cellspacing="0" role="presentation" style="border-collapse: separate; border-spacing: 0;">
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                        <td align="center" valign="middle">
                         <table align="center" border="0" cellpadding="0" cellspacing="0" role="presentation">
                          <tr>
                           <td align="center" valign="top">
                            <table border="0" cellpadding="0" cellspacing="0" role="presentation" align="center" style="border-collapse: separate; border-spacing: 0;">
                             <tr>
                              <td valign="top" align="center">
                               <a class="pc-font-alt" href="#Network" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#Network</span>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
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                      <table border="0" cellpadding="0" cellspacing="0" role="presentation" style="border-collapse: separate; border-spacing: 0;">
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                        <td align="center" valign="middle">
                         <table align="center" border="0" cellpadding="0" cellspacing="0" role="presentation">
                          <tr>
                           <td align="center" valign="top">
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                               <a class="pc-font-alt" href="#Security" style="text-decoration: none; line-height: 150%; 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: center; text-align-last: center;">
                                <span>#Security</span>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
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                   </table>
                  </td>
                 </tr>
                </table>
               </td>
              </tr>
             </table>
            </td>
           </tr>
          </table>
          <!-- END MODULE: Link Menu -->

 
          <!-- BEGIN MODULE: Subtitle -->
          <table width="100%" border="0" cellspacing="0" cellpadding="0" role="presentation">
           <tr>
            <td style="padding: 0px 0px 0px 0px;">
             <table width="100%" border="0" cellspacing="0" cellpadding="0" role="presentation" style="border-collapse: separate; border-spacing: 0px;">
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                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                   <div class="pc-font-alt" style="line-height: 133%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 12px; font-weight: normal;font-style: italic; font-variant-ligatures: normal; color: #707070; text-align: left; text-align-last: left;">
                    <div><span>Cette newsletter présente les dernières innovations AWS couvrant les solutions de Generative AI avec Amazon Bedrock et Nova, l'optimisation d'architectures Kubernetes multi-régions, les nouveaux outils de développement Amazon Q Developer, ainsi que les avancées en monitoring réseau et sécurité des agents IA pour transformer les workflows d'entreprise.</span>
                    </div>
                   </div>
                  </td>
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                </table>
               </td>
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             </table>
            </td>
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          </table>
          <!-- END MODULE: Subtitle -->

         </td>
        </tr>
        <tr>
         <td valign="top">

 

          <!-- BEGIN MODULE: Content 17 -->
          <table width="100%" border="0" cellspacing="0" cellpadding="0" role="presentation">
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            <td style="padding: 0px 0px 0px 0px;">
             <table width="100%" border="0" cellspacing="0" cellpadding="0" role="presentation">
    
    
              <tr>
               <td valign="top" class="pc-w520-padding-30-30-30-30 pc-w620-padding-35-35-35-35" style="padding: 10px 40px 10px 40px; border-radius: 0px; background-color: #ffffff;" bgcolor="#ffffff">
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
                 <tr>
                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
                     <td valign="top" align="left">
                     <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>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
                 <tr>
                  <td align="left" valign="top" style="padding: 0px 0px 5px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/cires21-mediacopilot-streamlines-video-content-creation-with-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>Cires21 MediaCopilot rationalise la création de contenu vidéo avec AWS</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
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                </table>
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                 <tr>
                  <td valign="top" align="left">
                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/cires21-mediacopilot-streamlines-video-content-creation-with-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>Cires21 MediaCopilot exploite les services AWS pour démocratiser les workflows vidéo professionnels grâce à une plateforme serverless alimentée par l'IA qui automatise la transcription multilingue, le sous-titrage, la détection de scènes et la distribution de contenu pour les créateurs de tous secteurs.</span>
                   </a>
                  </td>
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              <tr>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
                     <td valign="top" align="left">
                     <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>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
                 <tr>
                  <td align="left" valign="top" style="padding: 0px 0px 5px 0px;">
                   <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                    <tr>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/guidance-for-a-media-lake-on-aws-accelerate-media-operations-with-agentic-ai/" 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>Guide pour un media lake sur AWS : Accélérer les opérations média avec l'agentic AI</span>
                      </a>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <table border="0" cellpadding="0" cellspacing="0" role="presentation" width="100%" style="border-collapse: separate; border-spacing: 0; margin-right: auto; margin-left: auto;">
                 <tr>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/guidance-for-a-media-lake-on-aws-accelerate-media-operations-with-agentic-ai/" 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 lance une mise à jour de son Guidance for a media lake intégrant des capacités d'IA agentique via Amazon Bedrock AgentCore, permettant aux équipes média d'exécuter des workflows complexes multi-étapes à travers des commandes en langage naturel, avec des intégrations démontrées avec des partenaires comme Nomad Media, MASV et TwelveLabs pour automatiser intelligemment la gestion d'actifs, l'analyse de contenu et la distribution.</span>
                   </a>
                  </td>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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                     <a name="Media" id="Media"></a>
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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/dazn-streams-2025-fifa-club-world-cup-to-billions-of-fans-with-m2a-media-and-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>DAZN streams la 2025 FIFA Club World Cup à des milliards de fans avec M2A Media et AWS</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/dazn-streams-2025-fifa-club-world-cup-to-billions-of-fans-with-m2a-media-and-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>DAZN s'est associé à M2A Media et AWS pour diffuser en streaming la Coupe du Monde des Clubs FIFA 2025 à des milliards de fans dans 200 territoires, orchestrant 312 encodeurs et des milliers de nœuds de packaging à travers quatre régions AWS pour gérer 48 canaux vidéo simultanés par région avec une qualité HD premium et audio Dolby immersif.</span>
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                     <a name="Analytics" id="Analytics"></a>
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                       <div><span>Analytics</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/mt/optimizing-metrics-ingestion-with-amazon-managed-service-for-prometheus/" 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>Optimiser la metrics ingestion avec Amazon Managed Service for Prometheus</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/mt/optimizing-metrics-ingestion-with-amazon-managed-service-for-prometheus/" 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 Managed Service for Prometheus introduit des limites de séries actives basées sur les labels et des métriques CloudWatch améliorées qui permettent aux organisations de contrôler l'ingestion de métriques à grande échelle, d'optimiser les coûts et de maintenir les performances des workspaces dans des environnements multi-comptes complexes.</span>
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                     <a name="ContainerK8s" id="ContainerK8s"></a>
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                       <div><span>Container and Kubernetes</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/containers/implementing-granular-failover-in-multi-region-amazon-eks/" 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>Implémentation de failover granulaire dans Amazon EKS multi-Region</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/containers/implementing-granular-failover-in-multi-region-amazon-eks/" 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 présente une solution technique pour implémenter un failover granulaire au niveau applicatif dans les architectures multi-Region Amazon EKS multi-tenant, en utilisant des health checks Route 53 spécifiques à chaque application pour éviter les redirections inutiles de trafic vers d'autres régions lorsqu'une seule application échoue, permettant ainsi de maintenir les bénéfices de coût de l'infrastructure partagée tout en répondant aux exigences de disponibilité diversifiées.</span>
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                       <div><span>Container and Kubernetes</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/aws-named-as-a-leader-in-2025-gartner-magic-quadrant-for-cloud-native-application-platforms-and-container-management/" 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 nommé Leader dans le Gartner Magic Quadrant 2025 pour les Cloud-Native Application Platforms et Container Management</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/aws-named-as-a-leader-in-2025-gartner-magic-quadrant-for-cloud-native-application-platforms-and-container-management/" 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 a été reconnu Leader dans les rapports 2025 Gartner Magic Quadrant pour les plateformes d'applications Cloud-native et la gestion de conteneurs, se positionnant le plus haut sur la « capacité d'exécution » et la « complétude de vision » respectivement, grâce à son portfolio complet incluant AWS Lambda, Amazon ECS, Amazon EKS et des solutions serverless intégrées.</span>
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                     <a name="ContainerK8s" id="ContainerK8s"></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>Container and Kubernetes</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/containers/kubernetes-right-sizing-with-metrics-driven-gitops-automation/" 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>Kubernetes right-sizing avec automatisation GitOps pilotée par les metrics</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/containers/kubernetes-right-sizing-with-metrics-driven-gitops-automation/" 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>Cette solution automatise l'optimisation des ressources Kubernetes en utilisant Amazon Managed Service for Prometheus pour analyser les métriques historiques, Amazon Bedrock pour générer des descriptions intelligentes, et des workflows GitOps pour créer automatiquement des pull requests avec des recommandations de ressources sans nécessiter d'outils supplémentaires dans le cluster.</span>
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                     <a name="DevTools" id="DevTools"></a>
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                       <div><span>Developer Tools</span>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=VVzcMVDiouI" 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>Hackathon Incubateur Dailymotion AI Guilde avec AWS Guilde Compétences | Amazon Web Services</span>
                      </a>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=VVzcMVDiouI" 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>Dailymotion s'est associé à AWS Enterprise Skills Transformation pour organiser un hackathon AI Guild Incubator de 4 mois, utilisant l'apprentissage Cloud gamifié pour développer les compétences techniques des employés à travers une compétition par équipes de 12 semaines générant des solutions business innovantes.</span>
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                     <a name="DevTools" id="DevTools"></a>
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                       <div><span>Developer Tools</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/devops/introducing-an-interactive-code-review-experience-with-amazon-q-developer-in-github/" 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 d'une expérience de Code Review interactive avec Amazon Q Developer dans GitHub</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/devops/introducing-an-interactive-code-review-experience-with-amazon-q-developer-in-github/" 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 Q Developer introduit une expérience de révision de code interactive dans GitHub qui permet aux développeurs de poser des questions avec `/q`, d'obtenir des résumés concis avec des résultats organisés en fils de discussion, et d'appliquer des modifications suggérées directement dans les pull requests pour accélérer les cycles de révision et améliorer la qualité du code.</span>
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                     <a name="DevTools" id="DevTools"></a>
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                       <div><span>Developer Tools</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/amazon-q-developer-remote-mcp-servers/" 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 Q Developer CLI annonce la prise en charge des serveurs MCP distants</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/amazon-q-developer-remote-mcp-servers/" 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 Q Developer CLI prend désormais en charge les serveurs MCP distants, offrant une meilleure évolutivité et sécurité pour les outils de développement grâce à la centralisation des ressources et à l'authentification OAuth avec des plateformes comme Atlassian et GitHub.</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>
                       </div>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=BWds04Qqa5Q" 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>Bundesliga utilise Amazon Nova pour personnaliser le contenu des fans avec GenAI | Amazon Web Services</span>
                      </a>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=BWds04Qqa5Q" 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>Bundesliga utilise Amazon Nova et AWS pour créer du contenu personnalisé multilingue à grande échelle pour plus d'un milliard de fans dans le monde, en générant automatiquement des résumés de matchs et des traductions tout en respectant le RGPD et les lois allemandes sur la confidentialité des données.</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/scale-visual-production-using-stability-ai-image-services-in-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>Faire évoluer la production visuelle en utilisant Stability AI Image Services dans Amazon Bedrock</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/scale-visual-production-using-stability-ai-image-services-in-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>Stability AI Image Services sont désormais disponibles dans Amazon Bedrock, offrant 9 outils d'édition d'images professionnels (suppression d'objets, recoloriage, transformation de croquis, transfert de style) qui permettent aux équipes créatives de modifier, améliorer et transformer des images existantes directement via l'API Amazon Bedrock sans recourir à des systèmes externes.</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>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/migrate-from-anthropics-claude-3-5-sonnet-to-claude-4-sonnet-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>Migrer de Anthropic's Claude 3.5 Sonnet vers Claude 4 Sonnet sur Amazon Bedrock</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/migrate-from-anthropics-claude-3-5-sonnet-to-claude-4-sonnet-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>Ce blog post fournit une approche systématique pour migrer d'Anthropic Claude 3.5 Sonnet vers Claude 4 Sonnet sur Amazon Bedrock, couvrant les différences clés du modèle comme la fenêtre de contexte étendue et les capacités de raisonnement natives, les changements d'API nécessaires, les nouvelles fonctionnalités de raisonnement étendu, et les meilleures pratiques pour une migration sûre incluant l'évaluation robuste et les stratégies de déploiement progressif.</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>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/build-agentic-workflows-with-openai-gpt-oss-on-amazon-sagemaker-ai-and-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>Créer des Agentic Workflows avec OpenAI GPT OSS sur Amazon SageMaker AI et Amazon Bedrock AgentCore</span>
                      </a>
                       </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/build-agentic-workflows-with-openai-gpt-oss-on-amazon-sagemaker-ai-and-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>Ce blog post démontre comment déployer les modèles open source GPT-OSS d'OpenAI sur Amazon SageMaker AI avec vLLM, construire un système multi-agent d'analyse boursière utilisant LangGraph, et déployer ces agents sur Amazon Bedrock AgentCore pour créer une solution serverless complète d'analyse financière automatisée.</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>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=6OgFTW6bfSk" 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>Créez des AI Agents plus rapidement avec MCP Servers - Partie 1/2 | Amazon Web Services</span>
                      </a>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=6OgFTW6bfSk" 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>Cette vidéo démontre comment utiliser les serveurs MCP avec Strands Agents pour construire rapidement un agent IA capable de créer un rapport détaillé sur l'ajustement fin des modèles Llama avec Amazon SageMaker AI, incluant les recommandations d'instances et les informations de tarification.</span>
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                  <td align="left" valign="top" style="padding: 0px 0px 6px 0px;">
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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>
                       </div>
                      </div>
                     </td>
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                      <a class="pc-font-alt" href="https://www.youtube.com/watch?v=i90qktbyOBE" 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>Multi‑Agent observabilité avec Strands Agents et Timestream pour InfluxDB | Amazon Web Services</span>
                      </a>
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                      </div>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=i90qktbyOBE" 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>Cette démonstration présente comment implémenter une observabilité complète pour les systèmes d'agents IA distribués en utilisant AWS Timestream et Grafana, permettant le monitoring en temps réel des performances, l'efficacité des tokens et l'analyse des causes root pour optimiser les déploiements d'IA multi-agents.</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>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/enhance-video-understanding-with-amazon-bedrock-data-automation-and-open-set-object-detection/" 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>Améliorez la compréhension vidéo avec Amazon Bedrock Data Automation et la détection d'objets open-set</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/enhance-video-understanding-with-amazon-bedrock-data-automation-and-open-set-object-detection/" 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 Data Automation utilise la détection d'objets open-set pour analyser des vidéos et identifier des objets connus et inconnus grâce à des requêtes textuelles flexibles, permettant aux entreprises d'extraire des insights exploitables pour la publicité, la sécurité, l'édition de contenu et l'analyse personnalisée sans nécessiter de réentraînement des modèles.</span>
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                     <a name="ML" id="ML"></a>
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                       <div><span>Machine Learning</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/" 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>Strands Agents et le Model-Driven Approach</span>
                      </a>
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                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/opensource/strands-agents-and-the-model-driven-approach/" 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>Strands Agents SDK révolutionne le développement d'agents IA en adoptant une approche model-driven qui permet aux modèles de langage modernes d'orchestrer leur propre comportement et de prendre des décisions intelligentes sur l'utilisation d'outils, éliminant ainsi la complexité des frameworks d'orchestration traditionnels tout en offrant une interface simple pour le prototypage rapide et des capacités de configuration avancées pour les systèmes de production.</span>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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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>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/powering-innovation-at-scale-how-aws-is-tackling-ai-infrastructure-challenges/" 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>Alimenter l'innovation à grande échelle : Comment AWS relève les défis de l'infrastructure AI</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/powering-innovation-at-scale-how-aws-is-tackling-ai-infrastructure-challenges/" 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 présente ses innovations d'infrastructure AI incluant Amazon SageMaker HyperPod pour l'entraînement de modèles résilients, une architecture réseau 10p10u révolutionnaire avec le protocole SIDR pour des performances ultra-rapides, et les nouvelles instances P6 avec puces NVIDIA Blackwell ainsi que les puces personnalisées Trainium pour répondre aux défis computationnels croissants de l'intelligence artificielle à grande échelle.</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>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/twelvelabs-marengo-embed-synchronous-inference-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>TwelveLabs' Marengo Embed 2.7 peut désormais être utilisé pour synchronous inference dans Amazon Bedrock</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/twelvelabs-marengo-embed-synchronous-inference-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>Amazon Bedrock prend désormais en charge l'inférence synchrone pour le modèle d'embedding multimodal Marengo 2.7 de TwelveLabs, permettant aux développeurs de créer des expériences de recherche et de récupération plus réactives avec une latence réduite pour les entrées texte et image, tout en conservant les puissantes capacités de compréhension vidéo du modèle.</span>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
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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>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://dev.to/aws/building-scalable-multi-modal-ai-agents-with-strands-agents-and-amazon-s3-vectors-575b" 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>Construction de Scalable Multi-Modal AI Agents avec Strands Agents et Amazon S3 Vectors</span>
                      </a>
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                   <a class="pc-font-alt" href="https://dev.to/aws/building-scalable-multi-modal-ai-agents-with-strands-agents-and-amazon-s3-vectors-575b" 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 démontre comment construire des agents IA multi-modaux évolutifs en utilisant le framework open source Strands Agents avec Amazon S3 Vectors pour la mémoire persistante, permettant aux agents de traiter des images, documents et vidéos tout en maintenant le contexte conversationnel à travers les sessions avec des capacités de scaling d'entreprise.</span>
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                     <a name="Network" id="Network"></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>Network</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/amazon-cloudwatch-network-flow-visibility-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>Amazon CloudWatch Network Monitoring ajoute la visibilité des flow entre les Regions</span>
                      </a>
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                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/amazon-cloudwatch-network-flow-visibility-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>Amazon CloudWatch Network monitoring étend désormais sa visibilité des flux réseau entre les régions AWS, permettant aux entreprises de surveiller les performances réseau en temps quasi réel et d'identifier rapidement les problèmes affectant leurs workloads sur le réseau global AWS.</span>
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                     <a name="Network" id="Network"></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>Network</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/amazon-cloudfront-ipv6-origins/" 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 CloudFront annonce la prise en charge des origins IPv6</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/09/amazon-cloudfront-ipv6-origins/" 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 CloudFront étend ses capacités IPv6 en introduisant le support de la connectivité IPv6 vers les serveurs d'origine, permettant aux clients d'implémenter une livraison de contenu IPv6 de bout en bout pour leurs applications web tout en améliorant les performances réseau et en éliminant les préoccupations d'épuisement des adresses IPv4.</span>
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                     <a name="Network" id="Network"></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>Network</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/networking-and-content-delivery/redirecting-internet-bound-traffic-through-a-transparent-forward-proxy/" 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>Redirection du trafic destiné à Internet via un proxy forward transparent</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/networking-and-content-delivery/redirecting-internet-bound-traffic-through-a-transparent-forward-proxy/" 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 présente une architecture AWS utilisant Transit Gateway et des routeurs virtuels compatibles WCCP pour rediriger de manière transparente le trafic Internet sortant à travers des proxies forward et des firewalls centralisés, permettant l'inspection de sécurité sans configuration côté client.</span>
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                     <a name="Security" id="Security"></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>Security</span>
                       </div>
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                       <span>Sécurisez vos agent workflows avec AgentCore Identity | AWS Show & Tell</span>
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                    <span>Cet épisode d'AWS Show & Tell présente Amazon Bedrock AgentCore Identity avec des démonstrations pratiques d'authentification OAuth, d'intégration avec des systèmes externes comme GitHub, et des meilleures pratiques pour sécuriser la gestion d'identité dans les applications d'agents IA en production.</span>
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