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https://pages.awscloud.com/AWS-Online-Tech-Talks_August-2021.html?webinar=2021_0817-ABD&trk=ep_card-el_a134p000007C6sEA...
Submission: On August 25 via api from US
Submission: On August 25 via api from US
Form analysis 3 forms found in the DOM
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<option value="DM">Dominica</option>
<option value="DO">Dominican Republic</option>
<option value="EC">Ecuador</option>
<option value="EG">Egypt</option>
<option value="SV">El Salvador</option>
<option value="GQ">Equatorial Guinea</option>
<option value="ER">Eritrea</option>
<option value="EE">Estonia</option>
<option value="ET">Ethiopia</option>
<option value="FK">Falkland Islands (Malvinas)</option>
<option value="FO">Faroe Islands</option>
<option value="FJ">Fiji</option>
<option value="FI">Finland</option>
<option value="FR">France</option>
<option value="GF">French Guiana</option>
<option value="PF">French Polynesia</option>
<option value="TF">French Southern Territories</option>
<option value="GA">Gabon</option>
<option value="GM">Gambia</option>
<option value="GE">Georgia</option>
<option value="DE">Germany</option>
<option value="GH">Ghana</option>
<option value="GI">Gibraltar</option>
<option value="GR">Greece</option>
<option value="GL">Greenland</option>
<option value="GD">Grenada</option>
<option value="GP">Guadeloupe</option>
<option value="GU">Guam</option>
<option value="GT">Guatemala</option>
<option value="GG">Guernsey</option>
<option value="GN">Guinea</option>
<option value="GW">Guinea-bissau</option>
<option value="GY">Guyana</option>
<option value="HT">Haiti</option>
<option value="HM">Heard Island and Mcdonald Islands</option>
<option value="VA">Holy See (Vatican City State)</option>
<option value="HN">Honduras</option>
<option value="HK">Hong Kong</option>
<option value="HU">Hungary</option>
<option value="IS">Iceland</option>
<option value="IN">India</option>
<option value="ID">Indonesia</option>
<option value="IR">Iran, Islamic Republic of</option>
<option value="IQ">Iraq</option>
<option value="IE">Ireland</option>
<option value="IM">Isle of Man</option>
<option value="IL">Israel</option>
<option value="IT">Italy</option>
<option value="JM">Jamaica</option>
<option value="JP">Japan</option>
<option value="JE">Jersey</option>
<option value="JO">Jordan</option>
<option value="KZ">Kazakhstan</option>
<option value="KE">Kenya</option>
<option value="KI">Kiribati</option>
<option value="KP">Korea, Democratic People's Republic of</option>
<option value="KR">Korea, Republic of</option>
<option value="KW">Kuwait</option>
<option value="KG">Kyrgyzstan</option>
<option value="LA">Lao People's Democratic Republic</option>
<option value="LV">Latvia</option>
<option value="LB">Lebanon</option>
<option value="LS">Lesotho</option>
<option value="LR">Liberia</option>
<option value="LY">Libyan Arab Jamahiriya</option>
<option value="LI">Liechtenstein</option>
<option value="LT">Lithuania</option>
<option value="LU">Luxembourg</option>
<option value="MO">Macau</option>
<option value="MK">Macedonia, The Former Yugoslav Republic of</option>
<option value="MG">Madagascar</option>
<option value="MW">Malawi</option>
<option value="MY">Malaysia</option>
<option value="MV">Maldives</option>
<option value="ML">Mali</option>
<option value="MT">Malta</option>
<option value="MH">Marshall Islands</option>
<option value="MQ">Martinique</option>
<option value="MR">Mauritania</option>
<option value="MU">Mauritius</option>
<option value="YT">Mayotte</option>
<option value="MX">Mexico</option>
<option value="FM">Micronesia, Federated States of</option>
<option value="MD">Moldova, Republic of</option>
<option value="MC">Monaco</option>
<option value="MN">Mongolia</option>
<option value="ME">Montenegro</option>
<option value="MS">Montserrat</option>
<option value="MA">Morocco</option>
<option value="MZ">Mozambique</option>
<option value="MM">Myanmar</option>
<option value="NA">Namibia</option>
<option value="NR">Nauru</option>
<option value="NP">Nepal</option>
<option value="NL">Netherlands</option>
<option value="AN">Netherlands Antilles</option>
<option value="NC">New Caledonia</option>
<option value="NZ">New Zealand</option>
<option value="NI">Nicaragua</option>
<option value="NE">Niger</option>
<option value="NG">Nigeria</option>
<option value="NU">Niue</option>
<option value="NF">Norfolk Island</option>
<option value="MP">Northern Mariana Islands</option>
<option value="NO">Norway</option>
<option value="OM">Oman</option>
<option value="PK">Pakistan</option>
<option value="PW">Palau</option>
<option value="PS">Palestinian Territory, Occupied</option>
<option value="PA">Panama</option>
<option value="PG">Papua New Guinea</option>
<option value="PY">Paraguay</option>
<option value="PE">Peru</option>
<option value="PH">Philippines</option>
<option value="PN">Pitcairn</option>
<option value="PL">Poland</option>
<option value="PT">Portugal</option>
<option value="PR">Puerto Rico</option>
<option value="QA">Qatar</option>
<option value="RE">Reunion</option>
<option value="RO">Romania</option>
<option value="RU">Russian Federation</option>
<option value="RW">Rwanda</option>
<option value="SH">Saint Helena</option>
<option value="KN">Saint Kitts and Nevis</option>
<option value="LC">Saint Lucia</option>
<option value="PM">Saint Pierre and Miquelon</option>
<option value="VC">Saint Vincent and The Grenadines</option>
<option value="WS">Samoa</option>
<option value="SM">San Marino</option>
<option value="ST">Sao Tome and Principe</option>
<option value="SA">Saudi Arabia</option>
<option value="SN">Senegal</option>
<option value="RS">Serbia</option>
<option value="SC">Seychelles</option>
<option value="SL">Sierra Leone</option>
<option value="SG">Singapore</option>
<option value="SK">Slovakia</option>
<option value="SI">Slovenia</option>
<option value="SB">Solomon Islands</option>
<option value="SO">Somalia</option>
<option value="ZA">South Africa</option>
<option value="GS">South Georgia and The South Sandwich Islands</option>
<option value="ES">Spain</option>
<option value="LK">Sri Lanka</option>
<option value="SD">Sudan</option>
<option value="SR">Suriname</option>
<option value="SJ">Svalbard and Jan Mayen</option>
<option value="SZ">Swaziland</option>
<option value="SE">Sweden</option>
<option value="CH">Switzerland</option>
<option value="SY">Syrian Arab Republic</option>
<option value="TW">Taiwan</option>
<option value="TJ">Tajikistan</option>
<option value="TZ">Tanzania, United Republic of</option>
<option value="TH">Thailand</option>
<option value="TL">Timor-leste</option>
<option value="TG">Togo</option>
<option value="TK">Tokelau</option>
<option value="TO">Tonga</option>
<option value="TT">Trinidad and Tobago</option>
<option value="TN">Tunisia</option>
<option value="TR">Turkey</option>
<option value="TM">Turkmenistan</option>
<option value="TC">Turks and Caicos Islands</option>
<option value="TV">Tuvalu</option>
<option value="UG">Uganda</option>
<option value="UA">Ukraine</option>
<option value="AE">United Arab Emirates</option>
<option value="GB">United Kingdom</option>
<option value="UM">United States Minor Outlying Islands</option>
<option value="UY">Uruguay</option>
<option value="UZ">Uzbekistan</option>
<option value="VU">Vanuatu</option>
<option value="VE">Venezuela</option>
<option value="VN">Viet Nam</option>
<option value="VG">Virgin Islands, British</option>
<option value="VI">Virgin Islands, U.S.</option>
<option value="WF">Wallis and Futuna</option>
<option value="EH">Western Sahara</option>
<option value="YE">Yemen</option>
<option value="ZM">Zambia</option>
<option value="ZW">Zimbabwe</option>
</select><span id="InstructzOPprogressiveprofilingcntry" tabindex="-1" class="mktoInstruction"></span>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoFormRow">
<div class="mktoPlaceholder mktoPlaceholderzOPprogressiveprofilingsprov"></div>
<div class="mktoClear"></div>
</div>
<div class="mktoFormRow">
<div class="mktoFieldDescriptor mktoFormCol" style="margin-bottom: 5px;">
<div class="mktoOffset" style="width: 5px;"></div>
<div class="mktoFieldWrap mktoRequiredField"><label for="zOPprogressiveprofilingpnum" id="LblzOPprogressiveprofilingpnum" class="mktoLabel mktoHasWidth" style="width: 200px;">
<div class="mktoAsterix">*</div>Phone Number
</label>
<div class="mktoGutter mktoHasWidth" style="width: 5px;"></div><input id="zOPprogressiveprofilingpnum" name="zOPprogressiveprofilingpnum" maxlength="255" aria-labelledby="LblzOPprogressiveprofilingpnum InstructzOPprogressiveprofilingpnum"
type="tel" class="mktoField mktoTelField mktoHasWidth mktoRequired" aria-required="true" style="width: 350px;"><span id="InstructzOPprogressiveprofilingpnum" tabindex="-1" class="mktoInstruction"></span>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoFormRow">
<div class="mktoFieldDescriptor mktoFormCol" style="margin-bottom: 5px;">
<div class="mktoOffset" style="width: 5px;"></div>
<div class="mktoFieldWrap mktoRequiredField"><label for="zOPprogressiveprofilingpcode" id="LblzOPprogressiveprofilingpcode" class="mktoLabel mktoHasWidth" style="width: 200px;">
<div class="mktoAsterix">*</div>Postal Code:
</label>
<div class="mktoGutter mktoHasWidth" style="width: 5px;"></div><input id="zOPprogressiveprofilingpcode" name="zOPprogressiveprofilingpcode" maxlength="255" aria-labelledby="LblzOPprogressiveprofilingpcode InstructzOPprogressiveprofilingpcode"
type="text" class="mktoField mktoTextField mktoHasWidth mktoRequired" aria-required="true" style="width: 350px;"><span id="InstructzOPprogressiveprofilingpcode" tabindex="-1" class="mktoInstruction"></span>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoFormRow">
<div class="mktoFieldDescriptor mktoFormCol" style="margin-bottom: 5px;">
<div class="mktoOffset" style="width: 5px;"></div>
<div class="mktoFieldWrap mktoRequiredField"><label for="zOPprogressiveprofilingind" id="LblzOPprogressiveprofilingind" class="mktoLabel mktoHasWidth" style="width: 200px;">
<div class="mktoAsterix">*</div>Industry:
</label>
<div class="mktoGutter mktoHasWidth" style="width: 5px;"></div><select id="zOPprogressiveprofilingind" name="zOPprogressiveprofilingind" aria-labelledby="LblzOPprogressiveprofilingind InstructzOPprogressiveprofilingind"
class="mktoField mktoHasWidth mktoRequired" aria-required="true" style="width: 350px;">
<option value="">Select...</option>
<option value="Agriculture & Mining">Agriculture & Mining </option>
<option value="Computers & Electronics">Computers & Electronics </option>
<option value="Consumer Goods">Consumer Goods </option>
<option value="Education">Education </option>
<option value="Energy & Utilities">Energy & Utilities </option>
<option value="Financial Services">Financial Services </option>
<option value="Gaming">Gaming </option>
<option value="Government">Government </option>
<option value="Healthcare">Healthcare </option>
<option value="Life Sciences">Life Sciences </option>
<option value="Manufacturing">Manufacturing </option>
<option value="Media & Entertainment">Media & Entertainment </option>
<option value="Non-Profit Organization">Non-Profit Organization </option>
<option value="Professional Services">Professional Services </option>
<option value="Real Estate & Construction">Real Estate & Construction </option>
<option value="Retail">Retail </option>
<option value="Software & Internet">Software & Internet </option>
<option value="Telecommunications">Telecommunications </option>
<option value="Transportation & Logistics">Transportation & Logistics </option>
<option value="Travel & Hospitality">Travel & Hospitality </option>
<option value="Wholesale & Distribution">Wholesale & Distribution </option>
<option value="Other">Other </option>
</select><span id="InstructzOPprogressiveprofilingind" tabindex="-1" class="mktoInstruction"></span>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoFormRow">
<div class="mktoFieldDescriptor mktoFormCol" style="margin-bottom: 5px;">
<div class="mktoOffset" style="width: 5px;"></div>
<div class="mktoFieldWrap mktoRequiredField"><label for="Compliance_Requester_Type__c" id="LblCompliance_Requester_Type__c" class="mktoLabel mktoHasWidth" style="width: 350px;">
<div class="mktoAsterix">*</div>I am completing this form in connection with my:
</label>
<div class="mktoGutter mktoHasWidth" style="width: 5px;"></div>
<div class="mktoRadioList mktoHasWidth mktoRequired" style="width: 350px;"><input name="Compliance_Requester_Type__c" id="mktoRadio_2095130_0" value="Business" aria-required="true"
aria-labelledby="LblCompliance_Requester_Type__c LblmktoRadio_2095130_0 InstructCompliance_Requester_Type__c" type="radio" class="mktoField"><label for="mktoRadio_2095130_0" id="LblmktoRadio_2095130_0">Business interests</label><input
name="Compliance_Requester_Type__c" id="mktoRadio_2095130_1" value="Personal" aria-required="true" aria-labelledby="LblCompliance_Requester_Type__c LblmktoRadio_2095130_1 InstructCompliance_Requester_Type__c" type="radio"
class="mktoField"><label for="mktoRadio_2095130_1" id="LblmktoRadio_2095130_1">Personal interests</label></div><span id="InstructCompliance_Requester_Type__c" tabindex="-1" class="mktoInstruction"></span>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoFormRow">
<div class="mktoPlaceholder mktoPlaceholderCompliance_Optin__c"></div>
<div class="mktoClear"></div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol" style="margin-bottom: 5px;">
<div class="mktoOffset mktoHasWidth" style="width: 5px;"></div>
<div class="mktoFieldWrap">
<div class="mktoHtmlText mktoHasWidth" style="width: 350px;"><input type="hidden" name="AWS_Event_Terms">By registering, you agree to the
<a href="https://aws.amazon.com/events/terms/" target="_blank" id="" rel="noopener noreferrer">AWS Event Terms and Conditions</a> and the
<a href="https://aws.amazon.com/codesofconduct/" target="_blank" id="" rel="noopener noreferrer">AWS Community Codes of Conduct.</a></div>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoClear"></div>
</div>
<div class="mktoButtonRow"><span class="mktoButtonWrap mktoMinimal" style="margin-left: 110px;"><button type="submit" class="mktoButton">Submit </button></span></div><input type="hidden" name="formid" class="mktoField mktoFieldDescriptor"
value="49612"><input type="hidden" name="lpId" class="mktoField mktoFieldDescriptor" value="628266"><input type="hidden" name="subId" class="mktoField mktoFieldDescriptor" value="6"><input type="hidden" name="munchkinId"
class="mktoField mktoFieldDescriptor" value="112-TZM-766"><input type="hidden" name="lpurl" class="mktoField mktoFieldDescriptor" value="//pages.awscloud.com/AWS-Online-Tech-Talks_August-2021.html?cr={creative}&kw={keyword}"><input
type="hidden" name="cr" class="mktoField mktoFieldDescriptor" value=""><input type="hidden" name="kw" class="mktoField mktoFieldDescriptor" value=""><input type="hidden" name="q" class="mktoField mktoFieldDescriptor" value="">
</form>POST /index.php/leadCapture/save3
<form class="mktoForm mktoNoJS" action="/index.php/leadCapture/save3" method="post">
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="Website_Referral_Code__c"> Website Referral Code: </label>
<input type="text" class="mktoField mktoTextField" name="Website_Referral_Code__c" id="Website_Referral_Code__c">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPFormValidationBotVerification"> Z-[OP]-Form Validation Bot Verification: </label>
<input type="text" class="mktoField mktoTextField" name="zOPFormValidationBotVerification" id="zOPFormValidationBotVerification">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="Last_Web_Form_Update__c"> Last Web Form Update: </label>
<input type="text" class="mktoField mktoTextField" name="Last_Web_Form_Update__c" id="Last_Web_Form_Update__c">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="Munchkin_ID__c"> _mkto_trk </label>
<input type="text" class="mktoField mktoTextField" name="Munchkin_ID__c" id="Munchkin_ID__c">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="Suppress_SFDC_Auto_Response_Email__c"> Suppress SFDC Auto-Response Email: </label>
<input type="text" class="mktoField mktoTextField" name="Suppress_SFDC_Auto_Response_Email__c" id="Suppress_SFDC_Auto_Response_Email__c">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingTRKCampaign"> Z-[OP]-URL Tracking TRK Campaign: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingTRKCampaign" id="zOPURLTrackingTRKCampaign">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystCampaign"> Z-[OP]-URL Tracking SiteCatalyst Campaign: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystCampaign" id="zOPURLTrackingSiteCatalystCampaign">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystSegment"> Z-[OP]-URL Tracking SiteCatalyst Segment: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystSegment" id="zOPURLTrackingSiteCatalystSegment">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystChannel"> Z-[OP]-URL Tracking SiteCatalyst Channel: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystChannel" id="zOPURLTrackingSiteCatalystChannel">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystGeo"> Z-[OP]-URL Tracking SiteCatalyst Geo: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystGeo" id="zOPURLTrackingSiteCatalystGeo">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystContent"> Z-[OP]-URL Tracking SiteCatalyst Content: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystContent" id="zOPURLTrackingSiteCatalystContent">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystMedium"> Z-[OP]-URL Tracking SiteCatalyst Medium: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystMedium" id="zOPURLTrackingSiteCatalystMedium">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystOutcome"> Z-[OP]-URL Tracking SiteCatalyst Outcome: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystOutcome" id="zOPURLTrackingSiteCatalystOutcome">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystPublisher"> Z-[OP]-URL Tracking SiteCatalyst Publisher: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystPublisher" id="zOPURLTrackingSiteCatalystPublisher">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingSiteCatalystSFID"> Z-[OP]-URL Tracking SiteCatalyst S_FID: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingSiteCatalystSFID" id="zOPURLTrackingSiteCatalystSFID">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPFormTermsandConditionsCopy"> Z-[OP]-Form Terms and Conditions Copy: </label>
<input type="text" class="mktoField mktoTextField" name="zOPFormTermsandConditionsCopy" id="zOPFormTermsandConditionsCopy">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPEmailValidationHygiene"> Z-[OP]-Email Validation Hygiene: </label>
<input type="text" class="mktoField mktoTextField" name="zOPEmailValidationHygiene" id="zOPEmailValidationHygiene">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPURLTrackingLeadID"> Z-[OP]-URL Tracking Lead ID: </label>
<input type="text" class="mktoField mktoTextField" name="zOPURLTrackingLeadID" id="zOPURLTrackingLeadID">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBAnnualRevenue"> Z-[OP]-DB-Annual Revenue: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBAnnualRevenue" id="zOPDBAnnualRevenue">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBCity"> Z-[OP]-DB-City: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBCity" id="zOPDBCity">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBCompanySize"> Z-[OP]-DB-Company Size: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBCompanySize" id="zOPDBCompanySize">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBCompany"> Z-[OP]-DB-Company: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBCompany" id="zOPDBCompany">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBCountry"> Z-[OP]-DB-Country: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBCountry" id="zOPDBCountry">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBEmployeeRange"> Z-[OP]-DB-Employee Range: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBEmployeeRange" id="zOPDBEmployeeRange">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBIndustry"> Z-[OP]-DB-Industry: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBIndustry" id="zOPDBIndustry">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBInternetServiceProvider"> Z-[OP]-DB-Internet Service Provider: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBInternetServiceProvider" id="zOPDBInternetServiceProvider">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBIPAddress"> Z-[OP]-DB-IP Address: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBIPAddress" id="zOPDBIPAddress">
</div>
</div>
<div class="mktoFormRow">
<div class="mktoFormCol">
<label class="mktoLabel" for="zOPDBLeadID"> Z-[OP]-DB-Lead ID: </label>
<input type="text" class="mktoField mktoTextField" name="zOPDBLeadID" id="zOPDBLeadID">
</div>
</div>
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August 18, 2021 | 1hr
11:00 AM (PT)
* AWS ONLINE TECH TALKS
What's New / Cloud Innovation
LEVEL 200
What's New with AWS Lake Formation: Securing and Governing Your Data Lake
Speaker(s): Sanjay Srivastava, Prin. Product Manager, AWS
Learn about what's new with AWS Lake Formation.
August 18, 2021 | 1hr
1:00 PM (PT)
* AWS ONLINE TECH TALKS
Service Intro
LEVEL 200
Introduction to Amazon Lightsail Object Storage
Speaker(s): Darko Meszaros, Sr. Developer Advocate, AWS
Learn about Lightsail's latest launch, object storage and how you can host
your static content for a predictable price.
August 19, 2021 | 1hr
9:00 AM (PT)
* AWS ONLINE TECH TALKS
Service Deep Dive
LEVEL 200
Standardize Application Delivery with AWS Proton
Speaker(s): Rafa Alvarez, Sr Product Manager, AWS Proton; Daisy Daivasagaya,
Containers Go-to-Market Specialist, AWS
Learn how AWS Proton helps to improve the application delivery process.
August 19, 2021 | 1hr
11:00 AM (PT)
* AWS ONLINE TECH TALKS
Use Case How To
LEVEL 300
Connect Your Machines and Improve Your Industrial Processes with AWS IoT and
Machine Learning
Speaker(s): Seibou Gounteni, IoT Specialist Solutions Architect, AWS
Learn best practices for improving production and quality processes using AWS
IoT and machine learning services.
August 19, 2021 | 1hr
1:00 PM (PT)
* AWS ONLINE TECH TALKS
Solutions Best Practices
LEVEL 200
Caching for Performance with Amazon ElastiCache and Amazon DocumentDB
Speaker(s): Cody Allen, Sr. DocumentDB Specialist SA, AWS; Georges Leschener,
Sr. Partner Solutions Architect, AWS
Learn how to get started building high performance applications with Amazon
ElastiCache and Amazon DocumentDB.
August 19, 2021 | 1hr
3:00 PM (PT)
* AWS ONLINE TECH TALKS
Service Intro
LEVEL 200
Improve Customer Experience and Agent Productivity with Amazon Transcribe
Call Analytics
Speaker(s): Andrew Kane, Principal AI/ML Specialist Solution Architect, AWS;
Chris Featherstone, AWS Contact Center Intelligence and Amazon Transcribe
WWSO; Kaustubh Khanke, Senior Product Manager, Amazon Transcribe
Learn how to use Amazon Transcribe Call Analytics to extract conversation
insights and produce rich call transcripts to improve customer experience
(CX) and agent productivity.
August 23, 2021 | 1hr
9:00 AM (PT)
* AWS ONLINE TECH TALKS
Solutions Best Practices
LEVEL 300
Enabling High Velocity, Secure, and Compliant Development Teams
Speaker(s): Darko Meszaros, Sr. Developer Advocate, AWS
Learn how to enable high velocity, secure, and compliant development
organizations without compromise.
August 23, 2021 | 1hr
11:00 AM (PT)
* AWS ONLINE TECH TALKS
Service Deep Dive
LEVEL 300
Streaming Analytics Made Easy: Kinesis Data Analytics Studio Run on Apache
Flink
Speaker(s): Deepthi Mohan, Senior Product Manager, Amazon Kinesis Data
Analytics; Jeremy Ber, Analytics Specialist Solutions Architect, AWS
Streaming analytics made easy with Amazon Kinesis Data Analytics Studio run
on Apache Flink: Learn how to interactively query data streams and rapidly
develop stream processing applications.
August 23, 2021 | 1hr
1:00 PM (PT)
* AWS ONLINE TECH TALKS
Use Case How To
LEVEL 300
How to Use IoT Data to Deliver Better Customer Experiences
Speaker(s): Adrian Valenzuela, Sr. Go-To-Market Specialist, IoT, AWS; Sanika
Natu, IoT Specialist Solutions Architect, AWS
Learn how you can use AWS and AWS IoT services to securely collect, leverage,
and manage IoT device data and use that data to build better consumer
products and experiences at scale.
August 24, 2021 | 1hr
9:00 AM (PT)
* AWS ONLINE TECH TALKS
Service How To
LEVEL 300
Architecting for High Availability and Disaster Recovery on AWS Outposts
Speaker(s): Chris Lunsford, Sr. Solution Architect, AWS; Scott Howe, Sr.
Solution Architect, AWS
Learn architecture considerations, recommended practices, and deployment
patterns that you can apply to architect AWS Outposts for high availability
and disaster recovery.
August 24, 2021 | 1hr
11:00 AM (PT)
* AWS ONLINE TECH TALKS
Service How To
LEVEL 300
Reduce Manual Efforts: Process Documents Faster Using AWS Machine Learning
Speaker(s): Raj Copparapu, Senior PM, Amazon Textract; Andrea Morton-Youmans,
Product Marketing, Intelligent Document Processing, AWS
Learn how to use AWS Machine Learning (ML) to extract information from
documents quickly.
August 24, 2021 | 1hr
1:00 PM (PT)
* AWS ONLINE TECH TALKS
Service How To
LEVEL 300
Drive Better Digital Customer Experiences with Amazon Connect
Speaker(s): Rob Pittfield, Sr. Specialist SA, Amazon Connect; Kun Qian, WW
CSAT Specialist SA, AWS
Learn how Amazon Connect helps you create a digital experience that is
quicker and more familiar for your customers.
August 24, 2021 | 1hr
7:00 AM (PT)
* AWS ONLINE TECH TALKS
CANCELLED
LEVEL 200
CANCELLED
Speaker(s): CANCELLED
CANCELLED
August 25, 2021 | 1hr
9:00 AM (PT)
* AWS ONLINE TECH TALKS
Service How To
LEVEL 300
Getting Started with Amazon Elasticsearch Service’s Cold Storage Tier
Speaker(s): Viraj Phanse, Sr. Product Manager, AWS; Jon Handler, Sr.
Principal Solutions Architect, AWS
Learn how to use Amazon Elasticsearch Service’s cold storage tier to reduce
the costs of retaining your historical data for log analytics and search.
August 25, 2021 | 1hr
11:00 AM (PT)
* AWS ONLINE TECH TALKS
Service Intro
LEVEL 200
Boost Performance of Global Applications with Aurora Global Database Read
Replicas
Speaker(s): Santosh Rao, Principal Product Manager, AWS
Learn how to increase local read throughput to support high-volume
application requests with Aurora Global Database read replicas.
August 26, 2021 | 1hr
9:00 AM (PT)
* AWS ONLINE TECH TALKS
Service Intro
LEVEL 200
An Introduction to PostgreSQL 13
Speaker(s): Shayon Sanyal, Sr. Database Specialist SA, AWS
Explore the latest capabilities and enhancements in the world's fastest
growing open source database with PostgreSQL 13.
August 26, 2021 | 1hr
1:00 PM (PT)
* AWS ONLINE TECH TALKS
Use Case How To
LEVEL 300
Optimize Numerical Weather Predictions on AWS Graviton2
Speaker(s): Matt Koop, Principal Solutions Architect, AWS
Learn how you can optimize price performance when running your weather
research and forecasting simulations on AWS with AWS Graviton2.
August 26, 2021 | 1hr
3:00 PM (PT)
X
Securely Store, Transform, Query and Analyze Health Data with Amazon HealthLake
When: August 16, 2021
9:00 AM (PT) | 12:00 PM (ET) | 6:00 PM (CET)
Add to Register
Type: Service Intro | Level: 200
Health data is frequently incomplete and inconsistent, and is often
unstructured, with information contained in clinical notes, laboratory reports,
insurance claims, medical images, and recorded conversations, across disparate
formats and systems. With Amazon HealthLake, healthcare and life science
companies can securely store, transform, query and analyze health data at scale,
unlocking new insights to improve clinical decision making, design better
clinical trials and operate more efficiently. In this tech talk, you will learn
how Amazon HealthLake can help you make sense of your health data and about the
resources to help you get started.
What you'll learn:
* Get an introduction to Amazon HealthLake
* Understand how Amazon HealthLake can be applied to common use cases
* Learn how to get started with Amazon HealthLake
Speaker(s): Satadal Bhattacharjee, Sr. Manager PMT, AWS
Who Should Attend: Technical leaders and practitioners in the Healthcare and
Life sciences space.
X
Cost Efficiently Train Deep Learning Models with Amazon EC2
When: August 16, 2021
11:00 AM (PT) | 2:00 PM (ET) | 8:00 PM (CET)
Add to Register
Type: Service Intro | Level: 300
Data scientists and developers are building increasingly large and complex
machine learning models for greater accuracy in their model’s predictions. This
results in increased compute resource utilization and is driving up the cost to
train ML models. AWS offers a range of accelerator powered Amazon EC2 instances
that deliver the optimal price performance for training your deep learning
models. Attend this tech talk to learn more about how you can effectively meet
your performance and budget needs using Amazon EC2 accelerated instances.
What you'll learn:
* Learn how to get started with training deep learning models with AWS
* Learn about better price performance for common deep learning models such as
BERT and ResNET
* Learn how you can easily build, train, and deploy your models using AWS ML
infrastructure and cloud services
Speaker(s): Leif Reinert, Sr. Product Manager, AWS
Who Should Attend: Data Scientists, ML Developers, IT Managers
X
Beyond Overall Equipment Effectiveness (OEE) with Machine Vision and Virtual
Andon
When: August 17, 2021
9:00 AM (PT) | 12:00 PM (ET) | 6:00 PM (CET)
Add to Register
Type: Use Case How To | Level: 300
Increasingly, manufacturers are leveraging new digital technologies to optimize
their business processes, speed innovation, and lower costs. In this tech talk,
you will discover how Overall Equipment Effectiveness (OEE) is only part of the
picture in successful manufacturing. Learn how augmenting industrial performance
metrics from AWS IoT SiteWise with machine vision using Amazon Kinesis Video
Streams and Amazon SageMaker Ground Truth to build highly accurate datasets for
machine learning, can deliver a virtual Andon system that gives factory workers
the power to quickly and easily spot and report production issues.
What you'll learn:
* Learn how to collect, organize, and analyze data from industrial equipment
* Learn how to compute industrial performance metrics
* Discover how to identify production issues on the factory floor using AWS and
AWS IoT services
Speaker(s): Andrew Delamare, Senior IoT Specialist Solutions Architect, AWS
Who Should Attend: Business Decision Makers, Line of Business Owners, Data
Architects and Engineers, Cloud Architects, Industrial Developers, Engineering
Teams and Leadership
X
Invent New Experiences and Reimagine Old Processes with Machine Learning and
Artificial Intelligence
When: August 17, 2021
11:00 AM (PT) | 2:00 PM (ET) | 8:00 PM (CET)
Add to Register
Type: Use Case How To | Level: 100
As part of your modern data strategy, Machine Learning (ML) is one of the most
disruptive technologies of our generation. It can help create entirely new
revenue opportunities, make better and faster decisions, or improve operational
efficiencies. In the fullness of time, virtually every application will be
infused with ML and Artificial Intelligence (AI). Come to this tech talk to hear
how AWS meets customers where they are in their journey and helps them achieve
specific business outcomes with the broadest and most complete set of ML and AI
services for builders of all levels of expertise.
What you'll learn:
* Learn how a modern data strategy incorporates machine learning
* Learn about how machine learning can help enhance your customer experience,
improve productivity and optimize business processes, or speed up and scale
up innovation
* Learn about AWS machine learning solutions
Speaker(s): Laura Jones, Senior Manager, AI Product Marketing, AWS
Who Should Attend: Technical Decision Makers, Data Scientists, Analytics Leaders
X
Amazon SageMaker for Healthcare and Life Sciences Use Cases
When: August 17, 2021
1:00 PM (PT) | 4:00 PM (ET) | 10:00 PM (CET)
Add to Register
Type: Service How To | Level: 300
The healthcare and life sciences (HCLS) industry faces mounting pressure to
deliver more personalized treatments, streamline processes, modernize every
aspect of the pharma value chain, and keep patient information private and
secure. Machine learning (ML) addresses these challenges by automatically
identifying anomalies in medical images, building personalized healthcare
treatment plans based on historical data and documents, and identifying
suspicious healthcare claims so HCLS organizations can offer higher quality,
more holistic treatment at lower costs. In this tech talk, you'll learn how
Amazon SageMaker enables patients, providers, payers, and researchers to
prepare, build, train, and deploy high quality ML models at lower cost and at
scale.
What you'll learn:
* Discover challenges in the healthcare and life sciences industry and how ML
can address key use cases, such as fraud detection and anomaly detection
* Learn how SageMaker can help healthcare and life sciences companies prepare,
build, train, and deploy high quality ML models
* Walk through a demo to understand how to use SageMaker to automate medical
diagnosis
Speaker(s): Ujjwal Ratan, Principal AI/ML Solutions Architect, AWS
Who Should Attend: TDMs, Data Scientists, ML Developers
X
Move to Managed Amazon RDS Open Source to Increase Efficiency and Innovation
When: August 18, 2021
7:00 AM (PT) | 10:00 AM (ET) | 4:00 PM (CET)
Add to Register
Type: Service How To | Level: 200
For customers self-managing relational database infrastructure, provisioning,
operating, scaling, and managing databases is tedious, time-consuming, and
expensive. Amazon Relational Database Service allows you to simply launch an
optimally configured, secure, and highly available database using one of three
popular and familiar engines: MySQL, MariaDB, or PostgreSQL. In this tech talk,
learn about the benefits of moving to an open source engine with Amazon RDS, its
fully managed features, and dive deeper with a demo from one of our AWS Data
Heroes.
What you'll learn:
* Understand the benefits of migrating to fully managed Amazon RDS open source
databases
* Learn about some of Amazon RDS’s most important fully managed features
* Dive deeper on how to migrate to fully managed Amazon RDS with a demo from
one of our AWS Data Heroes
Speaker(s): Sneha Venkateswaran, Sr. Aurora MySQL WW GTM Spec, AWS; Álvaro
Hernández, CEO, OnGres
Who Should Attend: Developers, Architects, DBAs, DevOps roles, IT Leaders
X
Build Secure, Location-Based Applications on AWS
When: August 18, 2021
11:00 AM (PT) | 2:00 PM (ET) | 8:00 PM (CET)
Add to Register
Type: Use Case How To | Level: 300
Customers are building location-based applications across myriad use cases from
geomarketing to asset tracking and delivery. For example, a fire department may
build an application to increase the safety of their volunteers using geofences,
or muster points, to establish a designated safety zone in distress situations.
Amazon Location Service and AWS Amplify can help you build secure,
production-ready applications with location functionality, faster. In this tech
talk, we will walk you through a demo that uses geolocation data to determine if
a person is within a safety area or not by using Amazon Location Service with
the help of AWS Amplify and AWS AppSync for an event-driven solution that relies
on a managed, scalable, and secure architecture.
What you'll learn:
* Get an overview of Amazon Location Service and AWS Amplify
* Dive deeper into popular use cases for Amazon Location Service
* Learn how to implement Amazon Location's APIs to create geofences and track
users
Speaker(s): Fernando Rocha, Specialist Solutions Architect, Mobile and Location,
AWS
Who Should Attend: Front-End Application Developers; Full Stack Application
Developers; Application Developers; Solution Architects
X
What's New with AWS Lake Formation: Securing and Governing Your Data Lake
When: August 18, 2021
1:00 PM (PT) | 4:00 PM (ET) | 10:00 PM (CET)
Add to Register
Type: What's New / Cloud Innovation | Level: 200
AWS Lake Formation makes it easy to build and secure data lakes in AWS. In this
tech talk, we’ll cover exciting new features to make it easy to ingest data into
the data lake, manage and optimize the data and secure it with finer-grained
controls. We’ll explore how to use Governed Tables with ACID transactions to
reliably ingest data into the data lake. We’ll dive deeper into how to classify
and enforce permissions using Lake Formation tags and control access to data
using Data Filters for row and cell-level security. Lots more to cover.
What you'll learn:
* Hear about the latest updates to AWS Lake Formation
* Understand use cases for new AWS Lake Formation features
* Learn how to get started
Speaker(s): Sanjay Srivastava, Prin. Product Manager, AWS
Who Should Attend: IT, Data Engineers, Cloud Architects, DataOps Engineers
X
Introduction to Amazon Lightsail Object Storage
When: August 19, 2021
9:00 AM (PT) | 12:00 PM (ET) | 6:00 PM (CET)
Add to Register
Type: Service Intro | Level: 200
Developers use object storage to store static files for backups, website
content, and much more. In this tech talk, you will learn of a new, low cost way
to store your static content on Amazon Lightsail. You will also learn how you
can improve website performance and speed by using object storage and content
distribution networks on Lightsail.
What you'll learn:
* Learn of Lightsail's latest launch
* Learn general benefits of storage and different types of storage on AWS
* Learn how to use object storage with your website
Speaker(s): Darko Meszaros, Sr. Developer Advocate, AWS
Who Should Attend: Those new to the cloud looking to understand fundamental
storage concepts and website builders looking to improve their website,
Developers, Startups, Website builders
X
Standardize Application Delivery with AWS Proton
When: August 19, 2021
11:00 AM (PT) | 2:00 PM (ET) | 8:00 PM (CET)
Add to Register
Type: Service Deep Dive | Level: 200
Platform operators know how fast things move and how many services need to
coordinate when it comes to shipping code. Tracking the interdependencies
between services and infrastructure is time consuming and halts productivity in
its tracks. Meet AWS Proton: the first application delivery service for
container-based and serverless applications. Get an up-close look at how AWS
customers use AWS Proton to manage and maintain their platforms, free up their
time, and control costs. You’ll learn about new features released at GA, view a
demo of how to implement AWS Proton for your environment, and improve your
application delivery process as well as manageability of your architecture.
What you'll learn:
* Discover best practices for creating and managing infrastructure-as-code
templates
* Set up environment and service templates for developer teams self-service use
* Dive deep into multi-account and existing environment support
Speaker(s): Rafa Alvarez, Sr Product Manager, AWS Proton; Daisy Daivasagaya,
Containers Go-to-Market Specialist, AWS
Who Should Attend: Platform Teams, DevOps Engineers, Infrastructure Operations
X
Connect Your Machines and Improve Your Industrial Processes with AWS IoT and
Machine Learning
When: August 19, 2021
1:00 PM (PT) | 4:00 PM (ET) | 10:00 PM (CET)
Add to Register
Type: Use Case How To | Level: 300
As industrial customers connect their factories to the cloud, they are looking
to monitor equipment health, optimize line performance, eliminate unexpected
downtime, and hit production targets. In this tech talk, learn how AWS IoT
SiteWise can be used to easily connect to an industrial machine and calculate
equipment metrics that provide insights to assess equipment performance.
Discover how to extend these insights with Amazon Lookout for Vision to spot
product defects and anomalies using computer vision that automates and improves
quality inspections on the production line.
What you'll learn:
* Learn how to collect, organize, and analyze data from industrial equipment
* Learn how to compute industrial performance metrics
* Discover powerful capabilities to improve manufacturing quality using AWS and
AWS IoT services
Speaker(s): Seibou Gounteni, IoT Specialist Solutions Architect, AWS
Who Should Attend: Business Decision Makers, Line of Business Owners, Data
Architects and Engineers, Cloud Architects, Industrial Developers, Engineering
Teams and Leadership
X
Caching for Performance with Amazon ElastiCache and Amazon DocumentDB
When: August 19, 2021
3:00 PM (PT) | 6:00 PM (ET) | 12:00 AM (CET)
Add to Register
Type: Solutions Best Practices | Level: 200
Every time you enter an e-commerce website, you expect immediate response from
the site with information like price, shopping history, and related products.
Today, customers expect real-time speed when they interact with applications.
Performance engineers and developers traditionally relied on specialized
hardware and workarounds to manage real-time data. Now developers build modern
applications using a cache to enable low latency, high throughput, and support
for millions of requests per second. Caching enables these extreme performance
requirements while also helping to reduce cost by offloading pressure from your
primary database. In this tech talk, you will learn how you can boost the
performance of real-time applications using Amazon ElastiCache for Redis, a
fully managed, in-memory caching service, and Amazon DocumentDB (with MongoDB
compatibility) for extreme performance, high scalability, availability, and
security.
What you'll learn:
* Learn common application use cases that can benefit from in-memory
acceleration
* Learn how to boost application performance with in-memory caching
* Hear about other benefits, such as potential cost savings
Speaker(s): Cody Allen, Sr. DocumentDB Specialist SA, AWS; Georges Leschener,
Sr. Partner Solutions Architect, AWS
Who Should Attend: Developers, Software Engineers, DevOps Engineers, IT,
Application Architects, CIOs, Tech Decision Makers
X
Improve Customer Experience and Agent Productivity with Amazon Transcribe Call
Analytics
When: August 23, 2021
9:00 AM (PT) | 12:00 PM (ET) | 6:00 PM (CET)
Add to Register
Type: Service Intro | Level: 200
Customer conversations contain valuable information about trending issues and
the efficiency and quality of your contact center operations. Unlocking these
insights is often manual, time consuming, and restricted to a single contact
center environment. Amazon Transcribe Call Analytics is a new ML-powered API
that extracts conversation insights to improve customer experience (CX) and
agent productivity. In this tech talk, you’ll learn how to produce rich call
transcripts, surface agent/customer sentiment, detect issues, and identify
non-talk time to help supervisors quickly find agent coaching opportunities. You
will also discover how to uncover emerging trends within any inbound or outbound
call application, and understand the needs of your customer faster.
What you'll learn:
* Discover how to unlock CX insights such as call categorization, issue
detection, and searchable transcripts
* Analyze agent performance to find coaching opportunities and automate
compliance review
* Explore how to uncover emerging issues and trends by analyzing inbound and
outbound customer calls
Speaker(s): Andrew Kane, Principal AI/ML Specialist Solution Architect, AWS;
Chris Featherstone, AWS Contact Center Intelligence and Amazon Transcribe WWSO;
Kaustubh Khanke, Senior Product Manager, Amazon Transcribe
Who Should Attend: Contact center manager, COO, Customer Experience manager,
Customer support manager, Developer, IT Professional, IT Leader, Business User
X
Enabling High Velocity, Secure, and Compliant Development Teams
When: August 23, 2021
11:00 AM (PT) | 2:00 PM (ET) | 8:00 PM (CET)
Add to Register
Type: Solutions Best Practices | Level: 300
Speed in software development requires being able to bootstrap development teams
with best practices for DevOps, security, and infrastructure configuration. But
too often teams find they have to make compromises with speed to ensure security
and compliance. Application development teams need freedom to iterate and make
adjustments without needing manual validation from the central teams. In this
tech talk we lay out how AWS DevOps services solve these problems for
organizations of various sizes and skill sets. We walk through best-practice
patterns with services such as AWS CDK, AWS CFN Guard, and AWS Config for
building speed, security, and compliance into your software delivery lifecycle.
What you'll learn:
* Learn how to build a DevOps workflow that prioritizes speed, security, and
compliance
* Learn how to use AWS CDK, AWS CFN Guard, and AWS CodePipeline
* Learn how to use AWS Proton for container-based platform teams
Speaker(s): Darko Meszaros, Sr. Developer Advocate, AWS
Who Should Attend: DevOps Engineers, Platform Engineers, Cloud Native
Development Leaders
X
Streaming Analytics Made Easy: Kinesis Data Analytics Studio Run on Apache Flink
When: August 23, 2021
1:00 PM (PT) | 4:00 PM (ET) | 10:00 PM (CET)
Add to Register
Type: Service Deep Dive | Level: 300
Businesses increasingly need to gain faster insights from their data to improve
their customer experiences, detect operational issues, and respond to emergent
trends. In this tech talk, we will walk through Amazon Kinesis Data Analytics
Studio, a recently launched feature of Amazon Kinesis Data Analytics, which
allows you to interactively query data streams and rapidly develop stream
processing applications using an interactive development environment powered by
Apache Zeppelin notebooks, run on Apache Flink. The session will include a demo
to help you easily build stream processing applications that can run at scale to
continuously produce real time insights.
What you'll learn:
* Learn how to simplify ad hoc querying of your streaming data using serverless
notebooks in Kinesis Data Analytics Studio.
* Understand how you can create a stream processing application in minutes
using Kinesis Data Analytics Studio powered by Apache Flink and Apache
Zeppelin.
* See a real-world example to perform analytics on a streaming data source
using simple SQL and Python.
Speaker(s): Deepthi Mohan, Senior Product Manager, Amazon Kinesis Data
Analytics; Jeremy Ber, Analytics Specialist Solutions Architect, AWS
Who Should Attend: Software Engineers, Data Engineers, Data Scientists
X
How to Use IoT Data to Deliver Better Customer Experiences
When: August 24, 2021
9:00 AM (PT) | 12:00 PM (ET) | 6:00 PM (CET)
Add to Register
Type: Use Case How To | Level: 300
Consumers are embracing innovative products and experiences that make their
lives easier, less expensive, and more personalized. To create these
experiences, device manufacturers turn to solutions that pair the data generated
by consumer products with technologies like IoT, AI/ML, analytics, and voice.
Yet, collecting and processing the data coming from thousands–or millions–of
devices, as well as managing device fleets, is no small undertaking. Join this
tech talk to learn how you can use IoT data to deliver personalized,
intelligent, and delightful consumer experiences at scale.
What you'll learn:
* Learn how you can connect smart products and easily manage them and their
data at scale
* See use cases for using IoT data to deliver innovative consumer experiences
* Understand how to use AWS and AWS IoT services to make sense of and take
action on IoT data
Speaker(s): Adrian Valenzuela, Sr. Go-To-Market Specialist, IoT, AWS; Sanika
Natu, IoT Specialist Solutions Architect, AWS
Who Should Attend: IoT product owners, IoT architects, device manufacturers,
Line Of Business (LOB) Application Developers, Data Engineer, smart product
developers
X
Architecting for High Availability and Disaster Recovery on AWS Outposts
When: August 24, 2021
11:00 AM (PT) | 2:00 PM (ET) | 8:00 PM (CET)
Add to Register
Type: Service How To | Level: 300
AWS Outposts is a fully managed service that extends AWS infrastructure,
services, APIs, and tools to your on-premises facilities. Many AWS customers are
using AWS Outposts for workloads requiring local data processing, low latency,
data residency, and 2-step migration journeys. These workloads are often some of
the most demanding in terms of durability and availability requirements. Join
this tech talk to learn how you can architect AWS Outposts for high availability
(HA) and disaster recovery (DR). We will share architecture considerations,
recommended practices, and deployment patterns that you can apply.
What you'll learn:
* Find out about the updated Shared Responsibility Model with AWS Outposts and
networking, compute and storage failure modes you should plan for
* Learn how you can design and build highly available applications and
infrastructure solutions with AWS Outposts
* Understand how you can architect for disaster recovery on AWS Outposts
Speaker(s): Chris Lunsford, Sr. Solution Architect, AWS; Scott Howe, Sr.
Solution Architect, AWS
Who Should Attend: IT managers and system architects looking to deploy AWS
Outposts
X
Reduce Manual Efforts: Process Documents Faster Using AWS Machine Learning
When: August 24, 2021
1:00 PM (PT) | 4:00 PM (ET) | 10:00 PM (CET)
Add to Register
Type: Service How To | Level: 300
For most companies, documents are the foundation of how business gets done
whether it’s with contracts, insurance claims, invoices, receipts, or paper
applications. These documents contain valuable information about your business
or your customers. Using AWS Machine Learning (ML), you can harness the power of
Optical Character Recognition (OCR), to extract and process critical business
data from documents. In this tech talk, we will provide hands on examples of how
you can process documents using Amazon Textract with an emphasis on invoices and
receipts.
What you'll learn:
* Find out how to process invoices and receipts using Amazon Textract
* Learn about new features for processing documents that can help you discover
insights stuck in your documents
* Find ways you can take the information within your documents and use it in
downstream applications such as databases, analytics systems, or internal
systems to help you organize the information
Speaker(s): Raj Copparapu, Senior PM, Amazon Textract; Andrea Morton-Youmans,
Product Marketing, Intelligent Document Processing, AWS
Who Should Attend: BDM, TDM, developers
X
Drive Better Digital Customer Experiences with Amazon Connect
When: August 24, 2021
7:00 AM (PT) | 10:00 AM (ET) | 4:00 PM (CET)
Add to Register
Type: Service How To | Level: 300
Contact center leaders often strive towards one goal, providing their customers
with an efficient and convenient way to receive answers to their problems and
support. 71% of companies are expecting customers to lean more towards digital
channels, such as web and mobile chat, for quicker and more familiar
interactions. With the recent launch of Apple Business Chat for Amazon Connect,
companies can now provide their customers with a complete digital experience
that is simple to use, yet intelligent. Join this tech talk to learn about the
benefits of implementing digital channels, discover how Amazon Connect allows
you to create this experience within the same user interface, and follow our
demo to learn how you can easily get started.
What you'll learn:
* Explore ways that digital customer experiences can delight your customers by
providing them with quicker and more convenient support
* Discover how the recent launch of Apple Business Chat for Amazon Connect
empowers your customers to use channels most familiar to them
* Watch our demo to see how easy it is to set up your first digital channel
within your customer experience
Speaker(s): Rob Pittfield, Sr. Specialist SA, Amazon Connect; Kun Qian, WW CSAT
Specialist SA, AWS
Who Should Attend: IT Developers, Line of Business Leaders, CTO, CXO, CIO, COO,
Contact Center Managers, Customer Experience Leaders, Contact Center Agents,
Business Decision Makers
X
CANCELLED
When: August 25, 2021
9:00 AM (PT) | 12:00 PM (ET) | 6:00 PM (CET)
Add to Register
Type: CANCELLED | Level: 200
CANCELLED
What you'll learn:
* CANCELLED
* CANCELLED
* CANCELLED
Speaker(s): CANCELLED
Who Should Attend: CANCELLED
X
Getting Started with Amazon Elasticsearch Service’s Cold Storage Tier
When: August 25, 2021
11:00 AM (PT) | 2:00 PM (ET) | 8:00 PM (CET)
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Type: Service How To | Level: 300
Amazon Elasticsearch Service is a popular solution for log analytics and search.
Amazon Elasticsearch Service’s new cold storage tier enables you to retain
historical and infrequently-accessed data durably and analyze it on-demand at a
lower cost than other storage tiers. In this tech talk, learn how to use cold
storage to retain any amount of data while reducing cost per GB to near Amazon
S3 storage prices.
What you'll learn:
* Learn how to use Amazon Elasticsearch Service’s cold storage tier to reduce
the costs of retaining your historical data for log analytics and search
* Explore the capabilities of Amazon Elasticsearch Service’s cold storage tier
* Understand the use cases for Amazon Elasticsearch Service’s cold storage tier
Speaker(s): Viraj Phanse, Sr. Product Manager, AWS; Jon Handler, Sr. Principal
Solutions Architect, AWS
Who Should Attend: Developers, Software Engineers, DevOps Engineers, IT, Cloud
Engineers, users of Amazon Elasticsearch Service
X
Boost Performance of Global Applications with Aurora Global Database Read
Replicas
When: August 26, 2021
9:00 AM (PT) | 12:00 PM (ET) | 6:00 PM (CET)
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Type: Service Intro | Level: 200
It’s not uncommon for modern applications to serve users all over the world.
Maintaining high database performance for such globally distributed applications
is a challenge for traditional databases. With Amazon Aurora Global Database,
you can create up to 90 read replicas multiple AWS Regions to increase local
read throughput to support high-volume application requests. In this tech talk,
learn how to implement Aurora Global Database read replicas to boost performance
for globally distributed applications.
What you'll learn:
* Learn how Aurora Global Database read replicas work
* Learn which applications and use cases can benefit from Aurora Global
Database read replicas
* Learn how to deploy local read replicas to serve application traffic across
AWS Regions
Speaker(s): Santosh Rao, Principal Product Manager, AWS
Who Should Attend: Developers, DBAs
X
An Introduction to PostgreSQL 13
When: August 26, 2021
1:00 PM (PT) | 4:00 PM (ET) | 10:00 PM (CET)
Add to Register
Type: Service Intro | Level: 200
PostgreSQL 13 is the latest major version of one of the most popular open source
databases, and includes a number of enhancements to performance, reliability,
security, manageability, and more. Learn about what's new in PostgreSQL 13 and
how you can get more out of your database with features like de-duplication of
B-tree index entries, improved performance for queries that use partitioned
tables, incremental sorting to accelerate data sorts, and more. Also, learn how
easy it is to run highly available PostgreSQL 13 databases in AWS with Amazon
RDS for PostgreSQL.
What you'll learn:
* Learn how PostgreSQL 13 adds enhancements to the open source database's
performance, reliability, security, manageability, and international and
mobile support
* Learn how new capabilities like de-duplication of B-tree index entries,
improved performance for queries that use partitioned tables, incremental
sorting to accelerate data sorts, and more make life easier for apps running
on PostgreSQL
* Learn about running highly available PostgreSQL databases in Amazon RDS for
PostgreSQL
Speaker(s): Shayon Sanyal, Sr. Database Specialist SA, AWS
Who Should Attend: PostgreSQL users, Developers, Database Administrators, System
Administrators, and Open Source lovers
X
Optimize Numerical Weather Predictions on AWS Graviton2
When: August 26, 2021
3:00 PM (PT) | 6:00 PM (ET) | 12:00 AM (CET)
Add to Register
Type: Use Case How To | Level: 300
The Weather Research and Forecasting (WRF) model is a numerical weather
prediction (NWP) system designed to serve both atmospheric research and
operational forecasting needs. With the release of Arm-based AWS Graviton2
Amazon Elastic Compute Cloud (EC2) instances, a common question has been how
these instances perform on large-scale NWP workloads. In this tech talk we will
demo running NWP on AWS Graviton2 and share benchmarking results from running
NWP across three different instance types. Learn how you can optimize price
performance when running your WRF simulations on AWS with AWS Graviton2.
What you'll learn:
* Learn how to effectively use Graviton-based instances for your HPC
applications, including Numerical Weather Prediction (NWP) applications
* Understand how you can achieve higher performance in your NWP applications
through the use of Elastic Fabric Adapter (EFA)
* Learn how different instance types can allow you to scale your workloads
efficiently
Speaker(s): Matt Koop, Principal Solutions Architect, AWS
Who Should Attend: Developers, Data Scientists
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