dataaisummit.databricks.com
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Submitted URL: https://go.carto.com/e3t/Ctc/P*113/c30Wh04/VVJZMp7XyLq3W2fJJ-h7yYmNfW99f7mw5kxW2cN3Lg89s3qgyTW95jsWP6lZ3n6W7cBhMH6HP7...
Effective URL: https://dataaisummit.databricks.com/flow/db/wt24jfk/reg/page/landing?utm_campaign=202409_Events_Databricks%20World%20Tour_New%20York...
Submission: On September 04 via api from US — Scanned from DE
Effective URL: https://dataaisummit.databricks.com/flow/db/wt24jfk/reg/page/landing?utm_campaign=202409_Events_Databricks%20World%20Tour_New%20York...
Submission: On September 04 via api from US — Scanned from DE
Form analysis
1 forms found in the DOMPOST
<form method="post" class="form-horizontal form-render-page workflow-form-render" id="myDynamicForm">
<div class="wf-form-element-div" id="wf-formAttendee-firstname">
<div class="rf-input"> <label for="formAttendee-firstname" class="rf-label" aria-describedby="formAttendee-firstname" data-test="rf-text-input-label-workflow-text-formAttendee-firstname"><span class="label-text"
data-test="rf-form-element-label">First Name</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span></label> <input id="formAttendee-firstname" required="" type="text"
data-test="rf-text-input-node-workflow-text-formAttendee-firstname" aria-invalid="false" aria-required="true" value=""></div>
</div>
<div class="wf-form-element-div" id="wf-formAttendee-lastname">
<div class="rf-input"> <label for="formAttendee-lastname" class="rf-label" aria-describedby="formAttendee-lastname" data-test="rf-text-input-label-workflow-text-formAttendee-lastname"><span class="label-text"
data-test="rf-form-element-label">Last Name</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span></label> <input id="formAttendee-lastname" required="" type="text"
data-test="rf-text-input-node-workflow-text-formAttendee-lastname" aria-invalid="false" aria-required="true" value=""></div>
</div>
<div class="wf-form-element-div" id="wf-formAttendee-email">
<div class="rf-input"> <label for="formAttendee-email" class="rf-label" aria-describedby="formAttendee-email" data-test="rf-text-input-label-workflow-text-formAttendee-email"><span class="label-text" data-test="rf-form-element-label">Business
Email</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span><button data-test="rf-icon" type="button" class="rfSI rfSI-primary icon-popover-trigger cursor-pointer"
aria-label="; Click information icon for more information" aria-hidden="false" aria-describedby="formAttendee-email"><svg aria-hidden="false" data-title="Info Icon" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
<title>info</title>
<path d="M0 0h24v24H0z" fill="none"></path>
<path d="M11 17h2v-6h-2v6zm1-15C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm0 18c-4.41 0-8-3.59-8-8s3.59-8 8-8 8 3.59 8 8-3.59 8-8 8zM11 9h2V7h-2v2z"></path>
</svg></button></label> <input id="formAttendee-email" required="" type="text" data-test="rf-text-input-node-workflow-text-formAttendee-email" aria-invalid="false" aria-required="true" value=""></div>
</div>
<div class="wf-form-element-div" id="wf-formAttendee-companyname">
<div class="rf-input"> <label for="formAttendee-companyname" class="rf-label" aria-describedby="formAttendee-companyname" data-test="rf-text-input-label-workflow-text-formAttendee-companyname"><span class="label-text"
data-test="rf-form-element-label">Company</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span></label> <input id="formAttendee-companyname" required="" type="text"
data-test="rf-text-input-node-workflow-text-formAttendee-companyname" aria-invalid="false" aria-required="true" value=""></div>
</div>
<div class="wf-form-element-div" id="wf-formAttendee-jobtitle">
<div class="rf-input"> <label for="formAttendee-jobtitle" class="rf-label" aria-describedby="formAttendee-jobtitle" data-test="rf-text-input-label-workflow-text-formAttendee-jobtitle"><span class="label-text" data-test="rf-form-element-label">Job
Title</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span></label> <input id="formAttendee-jobtitle" required="" type="text" data-test="rf-text-input-node-workflow-text-formAttendee-jobtitle"
aria-invalid="false" aria-required="true" value=""></div>
</div>
<div class="wf-form-element-div" id="wf-formAttendee-phone">
<div class="rf-phone-number">
<div class="rf-standalone-label"><label class="rf-label"><span class="label-text" data-test="rf-form-element-label">Phone Number</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span></label></div>
<div class="phone-number-wrapper">
<div class="rf-select rf-input-select no-padding rf-single-select no-label" data-test="rf-dropdown-phone-countries-dropdown">
<div class="relative-select-container">
<div class="rf-dropdown-container" data-test="overlay-trigger">
<div class="rf-dropdown-trigger" data-test="rf-dropdown-trigger-phone-countries-dropdown"><input id="172541287655621" required="" aria-required="true" readonly="" aria-haspopup="listbox"
data-test="rf-select-dropdown-trigger-phone-countries-dropdown" placeholder="Country" role="combobox" aria-expanded="false" aria-controls="172541287655621lstOfOptions" aria-label="Country Code for Phone Number"></div>
<div class="select-dropdown-icon" data-test="trigger-dropdown-icon-wrapper">
<div class="dropdown-icon-background"><span data-test="rf-icon" class="rfSI" title="Open List"><svg aria-hidden="false" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
<title>Open List</title>
<path
d="M8.35076 9.77663H15.6447C16.5282 9.77663 17.0241 8.83036 16.4765 8.18538L12.831 3.87616C12.7268 3.75794 12.5986 3.66325 12.4549 3.5984C12.3112 3.53354 12.1554 3.5 11.9978 3.5C11.8401 3.5 11.6843 3.53354 11.5406 3.5984C11.397 3.66325 11.2687 3.75794 11.1645 3.87616L7.51748 8.18538C6.97294 8.83036 7.46726 9.77663 8.35076 9.77663ZM15.6447 14.2229H8.35076C7.46726 14.2229 6.97294 15.1692 7.51905 15.8141L11.1645 20.1234C11.5882 20.6255 12.4073 20.6255 12.831 20.1234L16.4765 15.8141C17.0241 15.1692 16.5282 14.2229 15.6447 14.2229Z">
</path>
</svg></span></div>
</div>
</div>
<div class="rf-dropdown-results-footer" data-test="rf-dropdown-results-footer-phone-countries-dropdown">
<div class="rf-selected-container">
<ul class="rf-select-selected" data-test="rf-select-selected-values-phone-countries-dropdown"></ul>
</div>
</div>
</div>
</div>
<div class="rf-input no-padding no-label disabled"> <input id="a799403c-c22d-46b3-ae21-5817ab7f9ca4" required="" disabled="" data-test="rf-text-input-node-phone-number-input" aria-invalid="false" aria-required="true"
aria-label="Phone Number for Phone Number" placeholder="Phone number" value=""></div>
</div>
</div>
</div>
<div class="wf-form-element-div" id="wf-formAttendee-countryId">
<div class="rf-select rf-single-select "> <label for="formAttendee-countryId" class="rf-label" aria-describedby="formAttendee-countryId" testid="formAttendee.countryId"><span class="label-text"
data-test="rf-form-element-label">Country</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span></label>
<div class="relative-select-container"><select required="" class="" id="formAttendee-countryId" data-test="rf-select-formAttendee-countryId" aria-invalid="false">
<option value="">Select Value</option>
<option value="US">United States</option>
<option value="CA">Canada</option>
<option value="AF">Afghanistan</option>
<option value="AX">Åland Islands</option>
<option value="AL">Albania</option>
<option value="DZ">Algeria</option>
<option value="AS">American Samoa</option>
<option value="AD">Andorra</option>
<option value="AO">Angola</option>
<option value="AI">Anguilla</option>
<option value="AQ">Antarctica</option>
<option value="AG">Antigua and Barbuda</option>
<option value="AR">Argentina</option>
<option value="AM">Armenia</option>
<option value="AW">Aruba</option>
<option value="AU">Australia</option>
<option value="AT">Austria</option>
<option value="AZ">Azerbaijan</option>
<option value="BS">Bahamas</option>
<option value="BH">Bahrain</option>
<option value="BD">Bangladesh</option>
<option value="BB">Barbados</option>
<option value="BY">Belarus</option>
<option value="BE">Belgium</option>
<option value="BZ">Belize</option>
<option value="BJ">Benin</option>
<option value="BM">Bermuda</option>
<option value="BT">Bhutan</option>
<option value="BO">Bolivia</option>
<option value="BQ">Bonaire, Sint Eustatius and Saba</option>
<option value="BA">Bosnia and Herzegovina</option>
<option value="BW">Botswana</option>
<option value="BV">Bouvet Island</option>
<option value="BR">Brazil</option>
<option value="IO">British Indian Ocean Territory</option>
<option value="BN">Brunei Darussalam</option>
<option value="BG">Bulgaria</option>
<option value="BF">Burkina Faso</option>
<option value="BI">Burundi</option>
<option value="KH">Cambodia</option>
<option value="CM">Cameroon</option>
<option value="CV">Cape Verde</option>
<option value="KY">Cayman Islands</option>
<option value="CF">Central African Republic</option>
<option value="TD">Chad</option>
<option value="CL">Chile</option>
<option value="CN">China</option>
<option value="CT">Chinese Taipei</option>
<option value="CX">Christmas Island</option>
<option value="CC">Cocos (Keeling) Islands</option>
<option value="CO">Colombia</option>
<option value="KM">Comoros</option>
<option value="CG">Congo</option>
<option value="CD">Congo (Democratic Republic of the)</option>
<option value="CK">Cook Islands</option>
<option value="CR">Costa Rica</option>
<option value="CI">Côte d'Ivoire</option>
<option value="HR">Croatia</option>
<option value="CU">Cuba</option>
<option value="CW">Curaçao</option>
<option value="CY">Cyprus</option>
<option value="CZ">Czech Republic</option>
<option value="DK">Denmark</option>
<option value="DJ">Djibouti</option>
<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="HS">Holy See</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</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="KR">Korea</option>
<option value="KS">Kosovo</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">Macao</option>
<option value="MK">Macedonia</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="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">Palestine</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">Réunion</option>
<option value="RO">Romania</option>
<option value="RU">Russian Federation</option>
<option value="RW">Rwanda</option>
<option value="BL">Saint Barthélemy</option>
<option value="SH">Saint Helena, Ascension and Tristan da Cunha</option>
<option value="KN">Saint Kitts and Nevis</option>
<option value="LC">Saint Lucia</option>
<option value="MF">Saint Martin (French part)</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="SX">Sint Maarten (Dutch part)</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="SS">South Sudan</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</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="VA">Vatican City</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>
<div class="select-dropdown-icon">
<div class="dropdown-icon-background"><span data-test="rf-icon" class="rfSI" title="Filter"><svg aria-hidden="false" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
<title>Filter</title>
<path
d="M8.35076 9.77663H15.6447C16.5282 9.77663 17.0241 8.83036 16.4765 8.18538L12.831 3.87616C12.7268 3.75794 12.5986 3.66325 12.4549 3.5984C12.3112 3.53354 12.1554 3.5 11.9978 3.5C11.8401 3.5 11.6843 3.53354 11.5406 3.5984C11.397 3.66325 11.2687 3.75794 11.1645 3.87616L7.51748 8.18538C6.97294 8.83036 7.46726 9.77663 8.35076 9.77663ZM15.6447 14.2229H8.35076C7.46726 14.2229 6.97294 15.1692 7.51905 15.8141L11.1645 20.1234C11.5882 20.6255 12.4073 20.6255 12.831 20.1234L16.4765 15.8141C17.0241 15.1692 16.5282 14.2229 15.6447 14.2229Z">
</path>
</svg></span></div>
</div>
</div>
</div>
</div>
<div class="wf-form-element-div" id="wf-formAttendee-stateId"></div>
<div class="wf-form-element-div" id="wf-1718898610208001vFq0">
<div class="rf-select rf-single-select "> <label for="1718898610208001vFq0" class="rf-label" aria-describedby="1718898610208001vFq0" testid="1718898610208001vFq0"><span class="label-text" data-test="rf-form-element-label">Which of the following
best describes you?</span><span class="rf-req" data-test="rf-form-element-label-required" aria-hidden="true">*</span></label>
<div class="relative-select-container"><select required="" class="" id="1718898610208001vFq0" data-test="rf-select-1718898610208001vFq0" aria-invalid="false">
<option value="">Select Value</option>
<option value="1718898610213001vBls">I’m a Databricks customer</option>
<option value="1718898610213002vVtL">I’m interested in becoming a Databricks customer</option>
<option value="1718898610213003vqYw">I'm a student</option>
<option value="1718898610213004vNPT">I'm a Databricks Partner</option>
</select>
<div class="select-dropdown-icon">
<div class="dropdown-icon-background"><span data-test="rf-icon" class="rfSI" title="Filter"><svg aria-hidden="false" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg">
<title>Filter</title>
<path
d="M8.35076 9.77663H15.6447C16.5282 9.77663 17.0241 8.83036 16.4765 8.18538L12.831 3.87616C12.7268 3.75794 12.5986 3.66325 12.4549 3.5984C12.3112 3.53354 12.1554 3.5 11.9978 3.5C11.8401 3.5 11.6843 3.53354 11.5406 3.5984C11.397 3.66325 11.2687 3.75794 11.1645 3.87616L7.51748 8.18538C6.97294 8.83036 7.46726 9.77663 8.35076 9.77663ZM15.6447 14.2229H8.35076C7.46726 14.2229 6.97294 15.1692 7.51905 15.8141L11.1645 20.1234C11.5882 20.6255 12.4073 20.6255 12.831 20.1234L16.4765 15.8141C17.0241 15.1692 16.5282 14.2229 15.6447 14.2229Z">
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</svg></span></div>
</div>
</div>
</div>
</div>
<div class="wf-form-element-div" id="wf-1636394272830001hmBr"></div>
<div class="wf-form-element-div" id="wf-1668033057278001IShk">
<div class="rf-checkbox-container rf-form-element-group"><label class="rf-label" id="lbl_1668033057278001IShk"><span class="label-text">Email Preferences</span></label>
<div role="group" aria-labelledby="lbl_1668033057278001IShk">
<div class="checkbox"><label for="1668033057306002Isv3"><input type="checkbox" role="checkbox" name="Email Preferences" aria-invalid="false" id="1668033057306002Isv3" value="1668033057306002Isv3"><span>I would like to receive marketing
communications about Databricks' products, services or events. I understand that I may unsubscribe at any time.</span></label></div>
</div>
</div>
</div>
<div class="wf-form-element-div" id="wf-1686693125019003tKMK">
<div class="rf-checkbox-container rf-form-element-group"><label class="rf-label" id="lbl_1686693125019003tKMK"><span class="label-text">Event Terms, Conditions & Privacy Policy</span><span class="rf-req" aria-hidden="true">*</span></label>
<div role="group" aria-labelledby="lbl_1686693125019003tKMK">
<div class="checkbox"><label for="1686693125123013thws"><input type="checkbox" role="checkbox" name="Event Terms, Conditions & Privacy Policy" aria-invalid="false" required="" id="1686693125123013thws"
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* Home * Sponsors * Sessions * Support * Register DATA + AI WORLD TOUR NEW YORK Discover how leading companies near you are taking control of their data and building custom AI on the Databricks Data Intelligence Platform. 18 September 2024 | Javits Center * Why Attend * Agenda Overview * Featured Sessions * Sponsors * Event Details and FAQ TOP 3 REASONS TO ATTEND * Discover the latest advances in GenAI, machine learning, analytics and data governance. * Learn how to drive insights with natural language, integrate data management with AI and governance, and support GenAI applications with quality, privacy and control. * See how leading companies are reducing TCO through automatic performance and storage optimization. AGENDA OVERVIEW Registration 8:00 AM - 5:00 PM Expo 8:00 AM - 9:30 AM 11:00 AM - 6:00 PM Keynote 9:30 AM - 11:00 AM Breakout Sessions 12:00 PM - 5:00 PM Lunch 11:30 AM - 1:00 PM Reception 4:30 PM - 6:00 PM REGISTRATION REGISTRATION First Name* Last Name* Business Email*info Company* Job Title* Phone Number* Open List Country* Select ValueUnited StatesCanadaAfghanistanÅland IslandsAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCape VerdeCayman IslandsCentral African RepublicChadChileChinaChinese TaipeiChristmas IslandCocos (Keeling) IslandsColombiaComorosCongoCongo (Democratic Republic of the)Cook IslandsCosta RicaCôte d'IvoireCroatiaCubaCuraçaoCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFalkland Islands (Malvinas)Faroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKoreaKosovoKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyan Arab JamahiriyaLiechtensteinLithuaniaLuxembourgMacaoMacedoniaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesia (Federated States of)Moldova, Republic ofMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorthern Mariana IslandsNorwayOmanPakistanPalauPalestinePanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRéunionRomaniaRussian FederationRwandaSaint BarthélemySaint Helena, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint Martin (French part)Saint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint Maarten (Dutch part)SlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwazilandSwedenSwitzerlandSyrian Arab RepublicTaiwanTajikistanTanzaniaThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited States Minor Outlying IslandsUruguayUzbekistanVanuatuVatican CityVenezuelaViet NamVirgin Islands (British)Virgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabwe Filter Which of the following best describes you?* Select ValueI’m a Databricks customerI’m interested in becoming a Databricks customerI'm a studentI'm a Databricks Partner Filter Email Preferences I would like to receive marketing communications about Databricks' products, services or events. I understand that I may unsubscribe at any time. Event Terms, Conditions & Privacy Policy* By registering, I agree to the Databricks Event Terms. I understand that my information will be processed in accordance with the Databricks Privacy Notice. Additionally, I agree that by scanning my badge at a sponsor’s booth or sponsored-session, my registration information will be disclosed to and used in accordance with the applicable Sponsor’s Privacy Notice Register Send me the link! SPEAKERS SPEAKERS Scroll Left Scroll Right Andrew Reiskind Chief Data Officer Mastercard Anindita Mahapatra Lead Solutions Architect Databricks Craig Nowell VP, Global GenAI Sales Databricks Elise Georis Staff Product Manager Databricks Hanlin Sun Associate Product Manager Databricks Harish Gaur Director of Product Marketing Databricks Jason Messer Product Manager Databricks Jonathan Brito Sr. Product Manager Databricks Luke Lefebure Sr. Data Scientist Databricks Michael Berk Sr. RSA Databricks Naveen Rao VP, Engineering Databricks Nikit Shah Delivery Solutions Architect • CSM Databricks Noah Levine Global Head, Media & Entertainment Go To Market Databricks FEATURED SESSIONS FEATURED SESSIONS View All Scroll Left Scroll Right DATA + AI WORLD TOUR KEYNOTE Complexity has long been the barrier to success with data and AI. But, the unification of lakehouse architecture with generative AI has rapidly opened up new opportunities to simplification. By bringing AI to your data, you can analyze huge quantities of information from many different sources to generate outputs that drive efficiency, spur creative thinking and enhance productivity. Hear from Databricks leaders about the latest innovations in AI, data warehousing, and analytics on the Databricks Data Intelligence Platform. Additionally, data leaders will explore the interconnections between data and AI and how to save good models from bad data. AI/BI GENIE - INTRO AND BEST PRACTICES As a busy data professional, you're probably getting far more requests to answer questions and build visualizations than you have time to actually handle. What if you can empower your partner teams to do more in a self-service way? In this session we'll explore some best practices in doing so. COMPREHENSIVE GUIDE TO MOSAIC AI: GETTING GENAI APPS TO PRODUCTION ON DATABRICKS Step into the world of rapid Generative AI application development with Mosaic AI. We'll explore the suite of tools within Mosaic AI that revolutionize how we create and maintain high-quality AI applications, cutting down the path to production. Gain insights into: * Efficient Application Design: Learn how to leverage Mosaic AI for designing production-quality GenAI applications * Seamless Maintenance Strategies: Discover strategies for the ongoing maintenance of your AI applications, ensuring they continue to meet evolving needs. * Practical Integration Techniques: Witness a comprehensive end-to-end demonstration that showcases the practical application of these tools and strategies in real-world scenarios. * This session is your gateway to mastering the intricacies of GenAI application development, offering actionable knowledge to streamline your projects with Mosaic AI and Databricks. DATA & AI POWERING MEDIA, GAMING AND ADVERTISING In this session, hear from Databricks and our Advertising and Marketing Technology customers on how they are enabling the next-generation of data and AI solutions in media with the power of the Data Intelligence Platform. DATABRICKS SQL: ADDRESSING DATA WAREHOUSING’S BIGGEST CHALLENGES WITH DATA INTELLIGENCE This session provides an overview of end-to-end data warehousing with Databricks SQL, from ingestion and ETL to queries and dashboards. Databricks SQL has also tapped the power of AI to address the data warehouse’s biggest historical challenges — performance, governance and usability — thanks to a deeper understanding of your specific data and how it’s used. We will share the latest of these AI-powered capabilities such as using natural language to ask questions or create visualizations, and the AI-optimized performance with serverless, elastic infrastructure for better TCO. DELTA LAKE UNIFORM: UNIFY TABLE FORMATS ACROSS ICEBERG, HUDI, AND DELTA LAKE The Delta Lake Universal Format, or UniForm for short, expands Delta Lake's existing ecosystem by allowing one single set of data to be used across all the tools in your lakehouse architecture. With UniForm, you only need to save your data once, and then it can be accessed by any software that works with the main open table formats like Linux Foundation's Delta Lake, Apache Iceberg, and soon, Apache Hudi. It does this by creating Iceberg or Hudi metadata alongside Delta Lake, maintaining a single copy of the underlying Parquet data files. In our session, we'll explain what UniForm can do now and what it will be able to do, and we'll go over the best ways to add Delta Lake UniForm to your lakehouse architecture. DEVELOPING ON DATABRICKS: GETTING THE MOST OUT OF NOTEBOOKS, IDES, AND THE ASSISTANT Databricks offers a powerful first-party developer experience with the Databricks Notebook and provides direct integrations with leading third-party IDEs. Learn about what’s new with the Notebook, Assistant, and IDE integrations to decide what best suits your use case and how to take your data analysis to the next level. DISCOVER UNITY CATALOG: YOUR GUIDE TO GOVERNANCE FOR DATA AND AI WITH LIVE DEMOS AND NEW FEATURES! Join the Unity Catalog product team for an in-depth exploration of the latest in data and AI governance. Unity Catalog is the only solution that offers unified governance for both data and AI, native to the Databricks Data Intelligence Platform. In this session, we will unveil the newest features, such as enhanced governance with detailed row/column filtering, Governed Tags, Attribute-Based Access Controls (ABAC), and the latest updates in automated data lineage, governance for ML assets, and performance improvements. This session, packed with demos, will illustrate how Unity Catalog's new features can streamline your data governance processes and simplify your analytics and AI initiatives. You'll also get an exclusive preview of our future plans. Plus, seize the opportunity to pose your most pressing questions to the product experts and learn why Unity Catalog is the best governance solutions for all your data and AI. Don’t miss out on this exciting opportunity to level up your data game with Unity Catalog! DIVE INTO BUILDING PRODUCTION QUALITY GEN AI APPLICATIONS WITH AGENT FRAMEWORK In order to effectively move Generative AI applications from prototype to production, you need to have a good understanding of the quality and performance behind your AI system. We'll cover Agent Framework a developer workflow that lets you quickly iterate on experiments and easy-to-get feedback to know if the quality is improving and helps measure metrics to get a quantitative view of how well your compound AI system is performing. EXPLORE THE LATEST IN DATA SHARING AND COLLABORATION Databricks is the platform for secure and open collaboration. Organizations need sharing solutions that support more than just data. We recently released AI model sharing to accelerate innovation, volume sharing of images, audio, video, and more to unlock data + AI use cases, and solution accelerators purpose-built for industry use cases. The Databricks Data Intelligence Platform provides an open approach for sharing with maximal reach and impact. Your organization can now seamlessly share datasets, AI models, volumes, and solutions in a unified way, with an open ecosystem for massive reach offering privacy-safe collaboration. In this session, we’ll cover the latest across our products: Delta Sharing – the open protocol for cross-platform data sharing; Databricks Marketplace – the open marketplace for data and AI solutions; and Databricks Clean Rooms – the privacy-safe collaboration environment for data and AI. Join us for this jam-packed session, and bring your data sharing questions! GET STARTED WITH DATA ENGINEERING WITH DATABRICKS Hands-on labs: Yes Learn how to navigate the Databricks Data Engineering & Data Science Workspace user interface, develop and run code using Databricks Notebooks, version notebooks with Databricks Repos, and use Delta Lake to perform data management tasks. Learning objectives By the end of this course, you will: * Describe fundamental concepts about Databricks * Explain fundamental concepts about the Data Engineering & Data Science Workspace * Explain fundamental concepts about Delta Lake * Navigate the Workspace user interface Use the Workspace to: * Create and manage clusters using the Databricks Clusters UI * Develop and run code in multi-cell Databricks notebooks using basic operations * Integrate git support using Databricks Repos * Perform data management tasks using Delta Lake Prerequisites * Beginner-level knowledge of the Databricks Data Intelligence Platform. * Beginner familiarity with cloud computing concepts (virtual machines, object storage, etc.) * Intermediate experience with basic SQL concepts (select, filter, groupby, join, etc) When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event. GET STARTED WITH GENERATIVE AI WITH DATABRICKS Hands-on labs: No Learn how to navigate the Databricks platform to build and develop Generative AI applications in this follow along course. You will learn how to develop prompts, and compound AI systems using MLflow and Mosaic AI on the platform. As well as learn concepts around governance and differences with GenAI. Learning objectives By the end of the course, you will learn: * Generative AI opportunities and challenges * How to set up a dev environment and get started with prompt engineering on Databricks with MLFlow * How to build a compound AI system with retrieval augmented generation (RAG) * Introduction to fine-tuning models and pretraining LLMs with Mosaic AI * How to approaching governance for AI applications Prerequisites * Intermediate-level experience with Python * Working knowledge of machine learning and deep learning is helpful When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event. GETTING STARTED WITH DATABRICKS SQL: LIVE DEMOS AND NEW FEATURES Join us for live demos on Databricks SQL and discover how our streamlined interfaces simplify data warehousing for analysts, developers, admins, and business users. Learn how to create a data warehouse, ingest and transform data, and build queries and dashboards effortlessly. This session will showcase the latest features, including new AI assistants for coding and dashboards, performance optimizations with serverless infrastructure, and enhanced observability with system tables. Additionally, we'll explore AI-powered capabilities that address performance, governance, and usability challenges in data warehousing, such as natural language queries and visualizations, and serverless, elastic infrastructure for better total cost of ownership. AT HOW GENERATIVE AI IS UNLOCKING FINANCIAL SERVICES INNOVATION Join us at the Data + AI World Tour in New York for an exclusive breakout session tailored to financial services institutions. This session will dive into how Generative AI is reshaping the financial sector, driving innovation, and creating new opportunities. We’ll showcase real-world use cases that illustrate the transformative power of GenAI in customer engagement, fraud detection, and personalized financial solutions; and demonstrate how easy it is to build a GenAI solution with the Databricks Data Intelligence Platform. We'll also unpack the critical role of GenAI in enhancing cybersecurity, offering cutting-edge strategies to safeguard financial and customer data. LAKEFLOW CONNECT: INTRODUCING DATABRICKS’ NEW NATIVE INGESTION CONNECTORS | DATABRICKS A major challenge data practitioners face is maintaining data ingestion pipelines—from on-prem database connectivity, to evolving SaaS APIs, to holistic governance. Join the us to learn more about LakeFlow Connect - a new set of native ingestion connectors for popular SaaS applications, databases, and file sources. These connectors are auto-optimized, low-maintenance, and integrated with the rest of the Data Intelligence Platform—from governance via Unity Catalog to orchestration via Databricks Workflows. And you can do it all via a no-code UI or an API. In this demo-packed session, you’ll learn about what’s new, what’s on the roadmap, how to take full advantage of these new ingestion capabilities. SPONSORED BY: ANOMALO | HOW ADP AUTOMATES ENTERPRISE DATA QUALITY AT SCALE Hear from Kristin Hlavinka, Director of Enterprise Data Governance at ADP about their Databricks data architecture, the business initiatives they're driving, and how automated data quality with Anomalo makes it possible. We'll conclude with learnings, best practices, and tips for other enterprise data leaders looking to drive data modernization initiatives at their organizations. SPONSORED BY: KYTHERA LABS | BOOSTING RAPID INNOVATION IN BIOTECH WITH NOVEL DATA TECHNOLOGY In the life sciences and healthcare sectors, innovators face significant challenges in making data fit-for-purpose and are often under intense pressure to do more with less. This session will demonstrate how Kythera Labs, through our partnership with Databricks, has driven immediate, transformative efficiencies for our customers, including a biotech company based in New York City. By streamlining data infrastructure and leveraging modular, AI-driven technologies, we empower our customers to unlock new capabilities and derive greater value from their data. Discover how continuous innovation in data management not only solves complex data challenges but also enhances the overall quality of insights and operational effectiveness. Join us to explore how advancing data technology is driving rapid progress and helping innovative organizations stay ahead in a fast-changing landscape. SPONSORED BY: MONTE CARLO | WARNER BROTHERS DISCOVERY'S TRANSFORMATIVE DATA QUALITY JOURNEY Leading global media and entertainment company Warner Brothers Discovery is no stranger to managing data – and industry – changes at scale. Representing over 30 unique brands and featuring content in more than 220 countries, the data team at Warner Brothers Discovery plays a critical role in supporting the success of every domain across the enterprise. For the past 20 years, through every data evolution, Pam Zirpoli, Director of Data Quality and Integrity, has tackled new challenges headfirst. Now with the rise of GenAI and the next phase of their data journey approaching, she’s putting data quality at the heart of their strategy. Join this session to learn about evolution of data needs and structure at Warner Brothers Discovery, the impact of partnering with Databricks and Monte Carlo to meet the needs of their modern data challenges, and best practices and tips for how to implement a data quality program at any scale. SPONSORED BY: TWILIO | FUELING MURAL'S PRODUCT LEAD GROWTH WITH TWILIO SEGMENT AND DATABRICKS In today's competitive landscape, product-led growth requires efficient data processing and agile decision-making. This session explores how Mural leverages Twilio Segment's Customer Data Platform (CDP) in conjunction with Databricks to drive impactful customer engagement. We will discuss the construction of real-time data pipelines that seamlessly stream first-party customer data into and out of Databricks, enabling actionable insights and ultimately fueling an organization's growth strategy. SPONSORS SPONSORS View All Platinum AMAZON WEB SERVICES (AWS) Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers - including the fastest-growing startups, largest enterprises, and leading government agencies - trust AWS to power their infrastructure, become more agile, and lower costs. Diamond ANOMALO Anomalo is the market leader in enterprise data quality monitoring, leveraging automated AI to swiftly detect and resolve data issues. Its advanced machine learning techniques ensure data integrity for decision-making and analytics, reducing risks and costs associated with data errors. Designed for scalability, Anomalo adapts to evolving enterprise needs, enhancing operational efficiency. By transforming enterprise data management from reactive to proactive, Anomalo not only safeguards data accuracy but also provides enterprises a competitive edge in the data-driven world. Platinum CELEBAL TECHNOLOGIES Celebal Technologies is a leading global IT services organization renowned for driving enterprise digital transformations across diverse industries. Our expertise spans Generative AI, Machine Learning, Data Science, Industry Data Models, Database Migration, Unity Catalog Migrations and SAP Modernization. With a proven track record, we've successfully collaborated with over 200 clients worldwide. By seamlessly integrating traditional enterprise practices with cutting-edge cloud technologies, we empower businesses to thrive in the digital era. We are committed to delivering holistic, end-to-end solutions that drive sustainable growth and provide a competitive advantage. Diamond DATAIKU Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to Generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 600 companies worldwide use Dataiku, including leaders across industries including life sciences, logistics, retail, manufacturing, energy, financial services, software, and technology. With a strong focus on the Forbes Global 2000, Dataiku also supports non-profits and academic institutions through its AI-for-Good initiatives. Diamond IMMUTA Since 2015, Immuta has given Fortune 500 companies and government agencies around the world the power to put their data to work – faster and more safely than ever before. Our platform delivers data security, governance, and continuous monitoring across complex data ecosystems – de-risking sensitive data at enterprise scale. From BI and analytics, to data marketplaces, AI, and whatever comes next, Immuta accelerates safe data discovery, collaboration, and innovation. For more information, visit immuta.com. Diamond KYTHERA LABS, INC. Kythera Labs is a data technology company that unifies data science expertise with a deep understanding of advanced data technology to create advancements that enhance the usefulness, value, and accessibility of data. We help innovators who work with healthcare data tackle their biggest challenges with increasing efficiency and greater confidence. Platinum MICROSOFT Microsoft's mission is to empower every person and every organization on the planet to achieve more. With its Intelligent Data Platform, Microsoft recommends organizations combine advanced AI, analytics, database and security services to form a powerful solution capable of data-driven innovation and transformation in the era of AI. Platinum MONTE CARLO Barr Moses, CEO and Co-founder of Monte Carlo, coined the term data observability with the mission of making data and AI more reliable. Our data observability platform ensures data teams are the first to know and solve data quality issues - before they impact the business. Monte Carlo is used by hundreds of data teams and across the largest Databricks deployments including Riot Games, Amgen, Comcast and more. We continue to lead the category as we enter the age of generative AI, helping teams improve the reliability of their AI products by ensuring that the data that is feeding LLMs is trustworthy, accurate, and on time. Platinum PROPHECY Prophecy is the data copilot company. Fortune 500 enterprises - including the largest institutions in banking, insurance, healthcare & life sciences, and technology - rely on Prophecy Data Transformation Copilot to accelerate AI and analytics by delivering data that is clean, trusted, and timely. Prophecy enables all data users and makes them productive by helping develop, deploy, and observe data pipelines on cloud data platforms. Organizations trust Prophecy for the most demanding workloads, including tens of thousands of data pipelines that deliver massive volumes of data for AI and analytics. Diamond QLIK About Qlik® Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages advanced, enterprise-grade AI/ML and pervasive data quality. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive and real-time analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. Diamond TWILIO SEGMENT Today's leading companies trust Twilio's Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales to marketing to growth, customer service, and many more engagement use cases in a flexible, programmatic way. Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create magical experiences for their customers. For more information about Twilio (NYSE: TWLO), visit: www.twilio.com. EVENT DETAILS AND FAQ How much does it cost to attend the Data + AI World Tour? All Data + AI World Tour stops are free to attend. I am having difficulties registering. How can I get help? Please email world-tour-support@databricks.com. How do I register for training? When registering, please select you are interested in attending training. Registration for training will open closer to the event. You must reserve your seat in order to attend training. Will you be providing meals with dietary restrictions in mind? We will provide meals that are vegetarian and vegan. If you have other dietary restrictions, please email world-tour-support@databricks.com and we will do our best to accommodate. Where is the event located? The event is held at the Jacob Javits Convention Center (Javits Center) at 429 11th Ave, New York, NY 10001. 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