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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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                    <v:textbox style="mso-fit-shape-to-text: true;" inset="0,0,0,0">
                        <div style="font-size: 0; line-height: 0;">
                            <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
                                <tr>
                                    <td style="font-size: 14px; line-height: 1.5;" valign="top">
                                        <p style="margin:0;mso-hide:all"><o:p xmlns:o="urn:schemas-microsoft-com:office:office">&nbsp;</o:p></p>
                                        <table width="100%" border="0" cellspacing="0" cellpadding="0" role="presentation">
                                            <tr>
                                                <td colspan="3" height="20" style="line-height: 1px; font-size: 1px;">&nbsp;</td>
                                            </tr>
                                            <tr>
                                                <td width="40" valign="top" style="line-height: 1px; font-size: 1px;">&nbsp;</td>
                                                <td valign="top" align="left">
                <![endif]-->
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
                 <tr>
                  <td align="center" valign="top" style="padding: 0px 0px 17px 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="center">
                      <div class="pc-font-alt" style="line-height: 121%; letter-spacing: -0.2px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 14px; font-weight: 500; font-variant-ligatures: normal; color: #ffb800; text-align: center; text-align-last: center;">
                       <div><span>Newsletter Media & Entertainment du lundi  7 juillet 2025 au vendredi 18 juillet 2025</span>
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                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
                 <tr>
                  <td align="center" valign="top" style="padding: 0px 0px 10px 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="center">
                      <div class="pc-font-alt pc-w620-fontSize-30 pc-w620-lineHeight-40" style="line-height: 128%; letter-spacing: -0.6px; font-family: 'Fira Sans', Arial, Helvetica, sans-serif; font-size: 32px; font-weight: 800; font-variant-ligatures: normal; color: #ffffff; text-align: center; text-align-last: center;">
                       <div><span>Innovations AWS : IA générative, streaming multimédia et optimisation des workloads Cloud</span>
                       </div>
                      </div>
                     </td>
                    </tr>
                   </table>
                  </td>
                 </tr>
                </table>
                <!--[if gte mso 9]>
                                                </td>
                                                <td width="40" style="line-height: 1px; font-size: 1px;" valign="top">&nbsp;</td>
                                            </tr>
                                            <tr>
                                                <td colspan="3" height="20" style="line-height: 1px; font-size: 1px;">&nbsp;</td>
                                            </tr>
                                        </table>
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               </td>
              </tr>
             </table>
            </td>
           </tr>
          </table>
          <!-- END MODULE: Header 2 -->

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

 
 
          <!-- BEGIN MODULE: Link Menu -->
          <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;">
              <tr>
               <td valign="top" class="pc-w520-padding-25-25-25-25 pc-w620-padding-25-30-25-30" style="padding: 10px 40px 10px 40px; background-color: #ffffff;" bgcolor="#ffffff">
                <table width="100%" border="0" cellpadding="0" cellspacing="0" role="presentation">
                 <tr>
                  <td align="center">
                   <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;">
                       <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="#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>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#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>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#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>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#DB" 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>#DB</span>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#DevOps" 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>#DevOps</span>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#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>
                      </table>
                     </td>

                     <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;">
                       <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>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#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>
                        </td>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#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>
                       </tr>
                      </table>
                     </td>

                     <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;">
                       <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="#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>
                     </td>

                     <td class="pc-w620-itemsSpacings-20-0" valign="middle" style="padding-top: 0px; padding-right: 5px; padding-bottom: 0px; padding-left: 5px;">
                      <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="#Storage" 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>#Storage</span>
                               </a>
                              </td>
                             </tr>
                            </table>
                           </td>
                          </tr>
                         </table>
                        </td>
                       </tr>
                      </table>
                     </td>
                    </tr>
                   </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;">
              <tr>
               <td valign="top" class="pc-w520-padding-15-30-0-30 pc-w620-padding-15-35-0-35" style="padding: 10px 40px 10px 40px; border-radius: 0px; border-top: 1px dotted #e3e3e3; background-color: #ffffff;" bgcolor="#ffffff">
                <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">
                   <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>Ces blog posts présentent les dernières innovations AWS couvrant l'IA générative avec de nouveaux agents intelligents et modèles multimodaux, les solutions de streaming et gestion de contenu multimédia, l'optimisation des bases de données et workloads analytiques, ainsi que les améliorations en connectivité réseau et sécurité Cloud pour transformer les architectures d'entreprise.</span>
                    </div>
                   </div>
                  </td>
                 </tr>
                </table>
               </td>
              </tr>
             </table>
            </td>
           </tr>
          </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">
           <tr>
            <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;">
                    <tr>
                     <td valign="top" align="left">
                      <a class="pc-font-alt" href="https://mediakwest.com/bob-inaugure-un-nouveau-plateau-video/" 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>BOB inaugure un nouveau plateau vidéo</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>
                  <td valign="top" align="left">
                   <a class="pc-font-alt" href="https://mediakwest.com/bob-inaugure-un-nouveau-plateau-video/" 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>BOB (Boîte à Outils Broadcast) ouvre de nouveaux locaux équipés d'un plateau vidéo de 130 m² dédié à la production hybride et à la remote production, marquant une étape importante dans le développement de cette entreprise spécialisée en prestations techniques audiovisuelles.</span>
                   </a>
                  </td>
                 </tr>
                </table>
               </td>
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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/introducing-guidance-for-a-media-lake-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>Présentation : Guide pour un media lake sur AWS</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/introducing-guidance-for-a-media-lake-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>AWS présente une solution de media lake qui permet aux entreprises de centraliser et rechercher leurs fichiers média stockés dans plusieurs buckets Amazon S3 grâce à des workflows automatisés, une interface de recherche unifiée supportant la recherche sémantique par Generative AI, et des pipelines configurables via une interface glisser-déposer, le tout sans modifier l'infrastructure de stockage existante.</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://netflixtechblog.com/behind-the-streams-live-at-netflix-part-1-d23f917c2f40?source=rss----2615bd06b42e---4" 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 des Streams : En direct de Netflix. Partie 1</span>
                      </a>
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                   <a class="pc-font-alt" href="https://netflixtechblog.com/behind-the-streams-live-at-netflix-part-1-d23f917c2f40?source=rss----2615bd06b42e---4" 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>Netflix révèle l'architecture technique complète de sa plateforme de streaming en direct, développée en trois ans pour diffuser des événements majeurs comme les matchs NFL et la WWE, en s'appuyant sur des centres de diffusion dédiés, des pipelines de transcodage Cloud redondants, le CDN Open Connect avec plus de 18 000 serveurs dans 6 000 emplacements, et des services de contrôle centralisés capables de traiter jusqu'à 38 millions d'événements par seconde.</span>
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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/about-aws/whats-new/2025/07/aws-deadline-cloud-unreal-engine-service-managed-fleets" 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 Deadline Cloud prend désormais en charge Unreal Engine dans Service-Managed Fleets</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/aws-deadline-cloud-unreal-engine-service-managed-fleets" 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 Deadline Cloud étend désormais sa prise en charge d'Unreal Engine dans ses Service-Managed Fleets, permettant aux équipes de soumettre des projets Unreal Engine 5.4, 5.5 ou 5.6 pour le rendu sans avoir besoin de configurer ou gérer l'infrastructure de calcul.</span>
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                     <a name="Analytics" id="Analytics"></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>Analytics</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/aws-glue-supports-new-workers-larger-memory-intensive-workloads" 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 Glue prend désormais en charge de nouveaux workers pour des workloads plus importantes et intensives en mémoire</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/aws-glue-supports-new-workers-larger-memory-intensive-workloads" 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 Glue introduit de nouveaux types de workers G.12X, G.16X et des workers optimisés mémoire R.1X, R.2X, R.4X, R.8X pour traiter des workloads plus volumineux et intensifs en mémoire avec Apache Spark.</span>
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                     <a name="Analytics" id="Analytics"></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>Analytics</span>
                       </div>
                      </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/aws-glue-zero-etl-integrations-amazon-dynamodb-applications-s3-tables" 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 Glue prend désormais en charge les intégrations zero-ETL depuis Amazon DynamoDB et huit applications vers S3 Tables</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/aws-glue-zero-etl-integrations-amazon-dynamodb-applications-s3-tables" 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 Glue prend désormais en charge les intégrations zero-ETL depuis Amazon DynamoDB et huit applications vers S3 Tables, automatisant l'extraction et le chargement de données tabulaires à grande échelle avec le support Apache Iceberg intégré pour réduire la charge opérationnelle et économiser des semaines d'efforts d'ingénierie dans la construction de pipelines de données.</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/devops/gitops-continuous-delivery-with-argocd-and-eks-using-natural-language/" 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>GitOps continuous delivery avec ArgoCD et EKS en utilisant le langage naturel</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/devops/gitops-continuous-delivery-with-argocd-and-eks-using-natural-language/" 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 intégration d'Amazon Q CLI avec ArgoCD via le serveur MCP transforme la gestion GitOps en permettant aux équipes de contrôler les déploiements Kubernetes à travers des interactions en langage naturel, démocratisant l'accès aux workflows GitOps et simplifiant la gestion multi-cluster tout en réduisant la complexité opérationnelle.</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/aws/accelerate-safe-software-releases-with-new-built-in-blue-green-deployments-in-amazon-ecs/" 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>Accélérez les versions de logiciels sécurisées avec les nouveaux blue/green deployments intégrés dans Amazon ECS</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/accelerate-safe-software-releases-with-new-built-in-blue-green-deployments-in-amazon-ecs/" 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 ECS introduit désormais une capacité de déploiement blue/green intégrée qui permet aux équipes de développement d'effectuer des mises à jour d'applications conteneurisées plus sûres avec des hooks de cycle de vie de déploiement automatisés et des capacités de rollback instantané, éliminant le besoin de construire des outils de déploiement personnalisés.</span>
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                     <a name="DB" id="DB"></a>
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                       <div><span>Database</span>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/database/introducing-amazon-keyspaces-cdc-streams/" 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 Amazon Keyspaces CDC streams</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/database/introducing-amazon-keyspaces-cdc-streams/" 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 Keyspaces CDC streams capture les modifications de données en temps réel dans les tables Amazon Keyspaces (pour Apache Cassandra), permettant aux applications de suivre et répondre instantanément aux insertions, mises à jour et suppressions pour alimenter des architectures événementielles, synchroniser avec des data warehouses, et intégrer avec des services comme Amazon OpenSearch Service pour des capacités de recherche avancées et des cas d'usage Generative AI.</span>
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                     <a name="DB" id="DB"></a>
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                       <div><span>Database</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/introducing-oracle-databaseaws-for-simplified-oracle-exadata-migrations-to-the-aws-cloud/" 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'Oracle Database@AWS pour simplifier les migrations Oracle Exadata vers AWS Cloud</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/introducing-oracle-databaseaws-for-simplified-oracle-exadata-migrations-to-the-aws-cloud/" 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 annonce la disponibilité générale d'Oracle Database@AWS, une nouvelle offre qui permet aux clients de migrer leurs workloads Oracle Exadata vers le Cloud AWS avec des modifications minimales, tout en bénéficiant d'intégrations zero-ETL avec Amazon Redshift, de sauvegardes Amazon S3, et d'une facturation unifiée via AWS Marketplace dans les régions U.S. East et U.S. West, avec une expansion prévue vers 20 régions supplémentaires.</span>
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                     <a name="DevOps" id="DevOps"></a>
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                       <div><span>DevOps</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/enterprise-strategy/business-value-of-developer-experience-improvements-amazons-15-9-breakthrough/" 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>Quantifier l'impact de la Developer Experience : la percée de 15,9 % d'Amazon</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/enterprise-strategy/business-value-of-developer-experience-improvements-amazons-15-9-breakthrough/" 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 a développé un framework Cost to Serve Software (CTS-SW) qui mesure le coût total de livraison d'une unité de logiciel, permettant de quantifier l'impact économique des améliorations de l'expérience développeur avec une réduction de coûts de 15,9% en 2024, démontrant comment les investissements dans la productivité des développeurs se traduisent en valeur business mesurable.</span>
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                     <a name="DevTools" id="DevTools"></a>
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                       <div><span>Developer Tools</span>
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                      <a class="pc-font-alt" href="https://www.youtube.com/shorts/q9_vtQJRBCo" 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 Thomson Reuters a accéléré la modernisation .NET avec AWS Transform | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/shorts/q9_vtQJRBCo" 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>Thomson Reuters a accéléré la modernisation de ses applications .NET grâce à AWS Transform, réduisant les délais de plusieurs mois à deux semaines, modernisant plus de 1,5 million de lignes de code par mois, et diminuant les coûts de 30% en migrant de Windows vers Linux tout en réduisant la dette technique de 50%.</span>
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                     <a name="DevTools" id="DevTools"></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>Developer Tools</span>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/aws-api-mcp-server-available" 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 API MCP Server maintenant disponible</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/aws-api-mcp-server-available" 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 en preview développeur le serveur AWS API MCP qui permet aux modèles de fondation d'interagir avec les API AWS via le langage naturel, simplifiant la gestion des workloads et des déploiements d'applications grâce à des commandes CLI générées automatiquement et un contrôle d'accès sécurisé via IAM.</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/enabling-customers-to-deliver-production-ready-ai-agents-at-scale/" 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>Permettre aux clients de fournir des agents IA prêts pour la production à grande échelle</span>
                      </a>
                       </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/enabling-customers-to-deliver-production-ready-ai-agents-at-scale/" 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 Amazon Bedrock AgentCore, une plateforme serverless complète pour déployer des agents IA en production à grande échelle, accompagnée de nouvelles capacités incluant la personnalisation d'Amazon Nova dans SageMaker AI, Amazon S3 Vectors pour réduire les coûts de stockage vectoriel de 90%, et un marketplace d'agents IA pré-construits pour transformer les flux de travail d'entreprise.</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/2025/07/image-to-video-generation-luma-ais-ray2-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>Prise en charge d'Image-to-video generation pour Luma AI's Ray2 désormais dans Amazon Bedrock</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/image-to-video-generation-luma-ais-ray2-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 intègre désormais la génération vidéo à partir d'images pour le modèle Ray2 de Luma AI, permettant aux développeurs de transformer des images statiques en contenu vidéo dynamique pour des secteurs comme la publicité, le divertissement et l'e-commerce.</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/about-aws/whats-new/2025/07/amazon-bedrock-data-automation-additional-aws-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 Bedrock Data Automation est maintenant disponible dans 5 AWS Regions supplémentaires</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-bedrock-data-automation-additional-aws-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 Bedrock Data Automation, qui permet aux développeurs d'automatiser la génération d'insights à partir de contenu multimodal non structuré pour créer des applications basées sur l'IA générative, est désormais disponible dans 5 nouvelles régions AWS en Europe et Asie-Pacifique.</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/media/glide-gaia-powers-responsible-newsroom-ai-with-amazon-bedrock-guardrails/" 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>Glide GAIA alimente l'AI responsable des salles de rédaction avec Amazon Bedrock Guardrails</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/glide-gaia-powers-responsible-newsroom-ai-with-amazon-bedrock-guardrails/" 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>Glide Publishing Platform intègre Amazon Bedrock Guardrails dans son système de gestion de contenu pour permettre aux salles de rédaction d'utiliser l'IA générative de manière responsable tout en maintenant des standards éditoriaux rigoureux grâce à des filtres de contenu configurables, une protection des données personnelles et des mesures de sécurité contre la désinformation.</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/about-aws/whats-new/2025/07/amazon-cloudwatch-generative-ai-observability-preview/" 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 ajoute l'observabilité Generative AI (Aperçu)</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-cloudwatch-generative-ai-observability-preview/" 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 introduit une nouvelle fonctionnalité d'observabilité pour les applications Generative AI qui permet aux développeurs de surveiller les performances, la santé et la précision de leurs workloads IA, incluant le tracing end-to-end des prompts et l'identification rapide des sources d'erreurs dans les composants comme les invocations de modèles et les agents.</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://www.youtube.com/watch?v=usFIb9aEd1U" 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 : Déployez et exploitez des AI Agents en quelques minutes | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=usFIb9aEd1U" 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 est un ensemble de services entièrement gérés et modulaires qui permet aux entreprises de déployer et d'opérer des agents IA prêts pour la production en quelques minutes, avec des fonctionnalités de sécurité, de monitoring et de gestion de la mémoire de niveau entreprise.</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/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-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>Annonce de la personnalisation d'Amazon Nova dans Amazon SageMaker AI</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/announcing-amazon-nova-customization-in-amazon-sagemaker-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>Amazon annonce une suite complète de capacités de personnalisation pour les modèles Amazon Nova dans Amazon SageMaker AI, incluant le supervised fine-tuning, l'alignment, le continued pre-training et la knowledge distillation, permettant aux clients de personnaliser Nova Micro, Nova Lite et Nova Pro avec des recipes prêtes à l'emploi et un déploiement transparent vers Amazon Bedrock.</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://www.youtube.com/watch?v=awkKeCBAotI" 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 Summit Paris 2025 - AWS pour les Industries</span>
                      </a>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=awkKeCBAotI" 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'AWS Summit Paris 2025 propose des sessions à la demande couvrant l'IA générative, les données, la sécurité et le développement durable, avec accès à la keynote et aux présentations spécialisées par secteur.</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/storage/implementing-conversational-ai-for-s3-tables-using-model-context-protocol-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>Implémentation d'une conversational AI pour S3 Tables avec Model Context Protocol (MCP)</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/storage/implementing-conversational-ai-for-s3-tables-using-model-context-protocol-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>Ce blog post guide les développeurs et ingénieurs de données dans l'implémentation d'une solution d'IA conversationnelle utilisant le MCP Server pour Amazon S3 Tables, permettant d'interagir avec des données tabulaires Apache Iceberg par langage naturel sans écrire de requêtes SQL, incluant la création de tables, l'importation de données CSV, et l'analyse de revenus à travers des démonstrations pratiques avec l'assistant IA Cline.</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/building-enterprise-scale-rag-applications-with-amazon-s3-vectors-and-deepseek-r1-on-amazon-sagemaker-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>Construire des RAG applications enterprise-scale avec Amazon S3 Vectors et DeepSeek R1 sur Amazon SageMaker AI</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/building-enterprise-scale-rag-applications-with-amazon-s3-vectors-and-deepseek-r1-on-amazon-sagemaker-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>Ce blog post démontre comment construire des applications RAG d'échelle entreprise en combinant Amazon S3 Vectors pour un stockage de vecteurs serverless et économique, DeepSeek R1 sur Amazon SageMaker AI pour l'inférence, et SageMaker managed MLflow pour le suivi d'expériences et l'évaluation, offrant une alternative aux bases de données vectorielles traditionnelles avec des réductions de coûts jusqu'à 90% et une complexité opérationnelle simplifiée.</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/accenture-scales-video-analysis-with-amazon-nova-and-amazon-bedrock-agents/" 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>Accenture met à l'échelle l'analyse vidéo avec Amazon Nova et Amazon Bedrock Agents</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/accenture-scales-video-analysis-with-amazon-nova-and-amazon-bedrock-agents/" 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>Accenture Spotlight utilise Amazon Nova et Amazon Bedrock Agents pour automatiser la génération de highlights vidéo à grande échelle grâce à des agents IA spécialisés qui analysent le contenu long-format et créent des clips courts personnalisés en quelques minutes au lieu d'heures ou de jours, avec des économies de coûts de 10 fois supérieures aux méthodes traditionnelles.</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/agents-as-escalators-real-time-ai-video-monitoring-with-amazon-bedrock-agents-and-video-streams/" 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>Agents comme escalateurs : monitoring vidéo AI Real-time avec Amazon Bedrock Agents et video streams</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/agents-as-escalators-real-time-ai-video-monitoring-with-amazon-bedrock-agents-and-video-streams/" 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 de monitoring vidéo intelligente utilisant Amazon Bedrock Agents qui analyse les flux vidéo en temps réel pour distinguer les événements normaux des situations critiques, réduisant ainsi la fatigue d'alerte tout en maintenant une détection précise grâce à la compréhension contextuelle des scènes et un système de réponse graduée.</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/aws-doubles-investment-in-aws-generative-ai-innovation-center-marking-two-years-of-customer-success/" 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 double son investissement dans l'AWS Generative AI Innovation Center, marquant deux années de succès client</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/aws-doubles-investment-in-aws-generative-ai-innovation-center-marking-two-years-of-customer-success/" 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 double son investissement de 100 millions de dollars dans l'AWS Generative AI Innovation Center après deux années de succès clients, permettant à des milliers d'entreprises comme BMW, PGA TOUR et AstraZeneca de transformer leurs opérations grâce à l'IA Generative AI et aux systèmes d'agents autonomes, générant des millions de dollars de gains de productivité et des réductions de coûts jusqu'à 74%.</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/accelerate-ai-development-with-amazon-bedrock-api-keys/" 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>Accélérez le développement AI avec Amazon Bedrock API keys</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/accelerate-ai-development-with-amazon-bedrock-api-keys/" 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 les clés API pour simplifier l'authentification des développeurs et accélérer l'intégration des modèles d'IA, offrant des options à court et long terme avec des exemples pratiques d'implémentation via SDK, curl et bibliothèques natives.</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/improve-conversational-ai-response-times-for-enterprise-applications-with-the-amazon-bedrock-streaming-api-and-aws-appsync/" 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>Améliorer les temps de réponse de l'IA conversationnel pour les applications d'entreprise avec l'API streaming Amazon Bedrock et AWS AppSync</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/improve-conversational-ai-response-times-for-enterprise-applications-with-the-amazon-bedrock-streaming-api-and-aws-appsync/" 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 qui combine l'API streaming d'Amazon Bedrock avec les subscriptions AWS AppSync pour améliorer les temps de réponse des applications d'IA conversationnelle d'entreprise, réduisant les délais de réponse initiale de 75% (de 10 à 2-3 secondes) en permettant aux utilisateurs de voir les réponses se générer en temps réel plutôt que d'attendre les réponses complètes.</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-generative-ai-use-cases-part-1-multi-tenant-hub-and-spoke-architecture-using-aws-transit-gateway/" 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 les cas d'usage Generative AI, Partie 1 : Architecture multi-tenant hub and spoke utilisant AWS Transit Gateway</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/scale-generative-ai-use-cases-part-1-multi-tenant-hub-and-spoke-architecture-using-aws-transit-gateway/" 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 hub and spoke multi-tenant utilisant AWS Transit Gateway pour faire évoluer les cas d'usage de Generative AI à travers plusieurs comptes AWS, avec un compte hub centralisé gérant l'authentification, l'autorisation et le routage, et des comptes spoke dédiés contenant les ressources spécifiques à chaque tenant pour assurer l'isolation et la sécurité.</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/5-ways-prime-video-improves-the-viewing-experience-with-generative-ai-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>5 façons dont Prime Video améliore l'expérience de visionnage avec generative AI sur AWS</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/media/5-ways-prime-video-improves-the-viewing-experience-with-generative-ai-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>Prime Video utilise Generative AI sur AWS à travers cinq innovations clés incluant des recommandations personnalisées, X-Ray Recaps pour résumer les contenus, Prime Insights pour enrichir les retransmissions sportives, Dialogue Boost pour améliorer l'accessibilité audio, et Media2Cloud pour optimiser la gestion des assets vidéo.</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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                       <span>Qu'est-ce que GraphRAG ? (…et comment vous pouvez construire une solution GraphRAG rapidement !) | Amazon Web Services</span>
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                   <a class="pc-font-alt" href="https://www.youtube.com/watch?v=Bz3z9CTPmoY" 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 présente les options d'implémentation GraphRAG sur AWS, permettant d'extraire des réponses significatives à partir de données organisationnelles via des interactions en langage naturel en utilisant Amazon Neptune.</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/build-a-conversational-data-assistant-part-1-text-to-sql-with-amazon-bedrock-agents/" 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 assistant conversationnel de données, Partie 1 : Text-to-SQL avec Amazon Bedrock Agents</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/build-a-conversational-data-assistant-part-1-text-to-sql-with-amazon-bedrock-agents/" 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's Worldwide Returns & ReCommerce organization développe Returns & ReCommerce Data Assist (RRDA), une solution conversationnelle alimentée par Generative AI utilisant Amazon Bedrock Agents qui transforme les questions en langage naturel en requêtes SQL validées, permettant à plus de 4000 utilisateurs non techniques d'accéder aux données avec une résolution 90% plus rapide et sans dépendance aux équipes de business intelligence.</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/building-intelligent-ai-voice-agents-with-pipecat-and-amazon-bedrock-part-2/" 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 agents vocaux AI intelligents avec Pipecat et Amazon Bedrock – Partie 2</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/building-intelligent-ai-voice-agents-with-pipecat-and-amazon-bedrock-part-2/" 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 (Partie 2) explore comment utiliser Amazon Nova Sonic, un modèle foundation speech-to-speech, avec le framework open source Pipecat pour créer des agents vocaux IA intelligents qui offrent des conversations en temps réel avec une latence réduite et des capacités d'utilisation d'outils, simplifiant l'implémentation par rapport à l'approche en cascade présentée dans la Partie 1.</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/intelligent-document-processing-at-scale-with-generative-ai-and-amazon-bedrock-data-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>Traitement intelligent de documents à grande échelle avec Generative AI et Amazon Bedrock Data Automation</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/intelligent-document-processing-at-scale-with-generative-ai-and-amazon-bedrock-data-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>Ce blog post présente une solution complète de traitement intelligent de documents à grande échelle utilisant Generative AI et Amazon Bedrock Data Automation, avec une architecture serverless déployable qui extrait automatiquement des informations structurées à partir de documents non structurés comme les états financiers et les emails clients, tout en offrant des alternatives de traitement via Amazon Textract et des modèles Amazon Bedrock personnalisés.</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/aws/twelvelabs-video-understanding-models-are-now-available-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>Les modèles de compréhension vidéo TwelveLabs sont maintenant disponibles dans Amazon Bedrock</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/twelvelabs-video-understanding-models-are-now-available-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>Les modèles de compréhension vidéo TwelveLabs Marengo et Pegasus sont désormais disponibles dans Amazon Bedrock, permettant aux développeurs de rechercher dans les vidéos en langage naturel, de classifier des scènes, de générer des résumés et d'extraire des insights précis à partir de contenus vidéo grâce à des embeddings vectoriels et à la génération de texte basée sur l'analyse vidéo.</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/build-an-mcp-application-with-mistral-models-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>Créer une application MCP avec les models Mistral sur AWS</span>
                      </a>
                       </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/build-an-mcp-application-with-mistral-models-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>Ce blog post démontre comment construire une application d'assistant IA intelligent en intégrant les modèles Mistral AI sur AWS avec le Model Context Protocol (MCP) pour connecter de manière transparente les modèles d'IA aux sources de données externes et aux systèmes, en présentant un exemple d'application de recommandation de restaurants qui utilise les services de localisation en temps réel, les données temporelles et la mémoire contextuelle via Amazon Bedrock, tout en offrant une approche alternative simplifiée avec le framework Strands Agent.</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/about-aws/whats-new/2025/07/fully-managed-mlflow-3-0-amazon-sagemaker-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>MLflow 3.0 entièrement géré maintenant disponible sur Amazon SageMaker AI</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/fully-managed-mlflow-3-0-amazon-sagemaker-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>Amazon SageMaker propose désormais un support entièrement géré pour MLflow 3.0 qui transforme le suivi d'expériences en observabilité complète de bout en bout, permettant aux équipes de développement d'accélérer leurs projets Generative AI grâce à des capacités de traçage avancées qui réduisent considérablement le temps de résolution des problèmes.</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/aws/top-announcements-of-the-aws-summit-in-new-york-2025/" 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>Principales annonces de l'AWS Summit à New York, 2025</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/aws/top-announcements-of-the-aws-summit-in-new-york-2025/" 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 Summit New York 2025 a dévoilé des innovations majeures incluant Amazon Bedrock AgentCore pour le déploiement sécurisé d'agents IA, la personnalisation d'Amazon Nova dans SageMaker AI, Amazon S3 Vectors avec support vectoriel natif, l'extension d'Amazon EKS jusqu'à 100 000 nœuds pour les workloads IA/ML massifs, et l'amélioration du programme AWS Free Tier avec jusqu'à 200$ de crédits pour les nouveaux utilisateurs.</span>
                   </a>
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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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                  </td>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/fr/blogs/france/strands-le-framework-python-qui-facilite-la-creation-dagents-ia/" 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 : Le framework Python qui facilite la création d'agents IA</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/fr/blogs/france/strands-le-framework-python-qui-facilite-la-creation-dagents-ia/" 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 est un SDK Python open source qui simplifie la création d'agents IA en combinant modèles de langage (LLM), outils personnalisés ou intégrés, et prompts en langage naturel, permettant aux développeurs de créer rapidement des agents sophistiqués capables de planification, raisonnement et exécution automatique de tâches.</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/opensource/introducing-strands-agents-1-0-production-ready-multi-agent-orchestration-made-simple/" 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 Strands Agents 1.0 : Multi-Agent Orchestration prête pour la production en toute simplicité</span>
                      </a>
                       </div>
                      </div>
                     </td>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/opensource/introducing-strands-agents-1-0-production-ready-multi-agent-orchestration-made-simple/" 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 1.0 introduit un SDK open source de production pour l'orchestration multi-agents avec quatre nouveaux design pattern (agents-as-tools, handoffs, swarms, et graphs), le support du protocole A2A, une gestion de session durable, un support async natif et une compatibilité étendue avec les fournisseurs de modèles comme Anthropic, Meta, OpenAI et Cohere.</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/2025/07/mcp-server-amazon-msk" 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>Annonce du Model Context Protocol (MCP) Server pour Amazon MSK</span>
                      </a>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/mcp-server-amazon-msk" 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 MSK lance un serveur basé sur le Model Context Protocol (MCP) qui permet aux clients d'interagir avec leurs clusters Amazon MSK via une interface en langage naturel standardisée et des applications agentiques, offrant aux agents IA une compréhension contextuelle des métriques de cluster, des configurations et des recommandations opérationnelles tout en respectant les politiques de sécurité définies par le client.</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>
                     </td>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/cohere-embed-4-multimodal-embeddings-model-is-now-available-on-amazon-sagemaker-jumpstart/" 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>Le modèle multimodal embeddings Cohere Embed 4 est maintenant disponible sur Amazon SageMaker JumpStart</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/machine-learning/cohere-embed-4-multimodal-embeddings-model-is-now-available-on-amazon-sagemaker-jumpstart/" 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 modèle d'embeddings multimodal Cohere Embed 4 est désormais disponible sur Amazon SageMaker JumpStart, offrant des capacités multilingues avancées pour plus de 100 langues, un traitement de documents jusqu'à 128 000 tokens, et des améliorations spécifiques pour les secteurs réglementés comme la finance, la santé et la fabrication, permettant aux entreprises de rechercher efficacement dans des documents texte, image et multimodaux sans pipelines de prétraitement complexes.</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>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-vpc-route-server-available-new-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 VPC Route Server est maintenant disponible dans 8 nouvelles régions en plus des 6 existantes</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-vpc-route-server-available-new-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 VPC Route Server, qui simplifie le routage dynamique entre les appliances virtuelles via le protocole BGP et met à jour automatiquement les tables de routage VPC, est désormais disponible dans 8 nouvelles régions AWS pour un total de 14 régions mondiales.</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>
                       </div>
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                      <a class="pc-font-alt" href="https://aws.amazon.com/blogs/networking-and-content-delivery/aws-direct-connect-layer-1-explained-from-data-centers-to-cloud-connectivity/" 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 Direct Connect Layer 1 expliqué : des data centers à la connectivité Cloud</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/networking-and-content-delivery/aws-direct-connect-layer-1-explained-from-data-centers-to-cloud-connectivity/" 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 les composants physiques et les configurations de couche 1 d'AWS Direct Connect, couvrant les types de connexions dédiées et hébergées, les scénarios d'implémentation courants avec les fournisseurs de services réseau et les partenaires, ainsi que les meilleures pratiques pour établir une connectivité résiliente entre l'infrastructure sur site et 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/blogs/networking-and-content-delivery/streamlining-multi-vpc-dns-management-with-amazon-route-53-profiles-and-interface-vpc-endpoint-integration/" 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>Rationalisation de la gestion DNS multi-VPC avec Amazon Route 53 Profiles et l'intégration d'interface VPC endpoint</span>
                      </a>
                       </div>
                      </div>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/blogs/networking-and-content-delivery/streamlining-multi-vpc-dns-management-with-amazon-route-53-profiles-and-interface-vpc-endpoint-integration/" 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 l'intégration native entre Amazon Route 53 Profiles et les interface VPC endpoints, qui simplifie la gestion DNS centralisée dans les architectures multi-VPC en éliminant le besoin de créer manuellement des Private Hosted Zones, et fournit des stratégies de migration détaillées pour passer des approches DNS traditionnelles vers cette nouvelle solution streamline.</span>
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                       <div><span>Security</span>
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                       <span>AWS re:Inforce 2025 - Quand chaque seconde compte : Agentic AI in cloud detection & response (TDR201)</span>
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                    <span>Cette session AWS re:Inforce 2025 examine comment l'IA agentique révolutionne la détection et la réponse aux cyberattaques Cloud en temps réel, face à des adversaires qui exploitent l'IA pour accélérer leurs attaques avec des temps de compromission record de 51 secondes, présentant les méthodologies modernes d'attaque et les approches défensives nécessaires pour combler l'écart entre les méthodes traditionnelles et les défenses alimentées par l'IA.</span>
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                       <div><span>Storage</span>
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                       <span>Amazon S3 Tables réduisent les coûts de compaction jusqu'à 90%</span>
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                   <a class="pc-font-alt" href="https://aws.amazon.com/about-aws/whats-new/2025/07/amazon-s3-tables-reduce-compaction-costs/" 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 S3 Tables réduisent désormais les coûts des opérations de compaction pour les tables Apache Iceberg jusqu'à 90%, avec trois stratégies automatisées (binpack, sort et z-order) optimisées pour différents pattern de requêtes analytiques, ces réductions tarifaires étant automatiquement appliquées depuis le 1er juillet 2025.</span>
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