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DTSTART:20251102T010000
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DTSTAMP:20250529T183709Z
UID:8806810D-FC40-4D18-AEE3-37F89052BE46
DTSTART;TZID=America/New_York:20250529T120000
DTEND;TZID=America/New_York:20250529T130000
DESCRIPTION:Topic\nCreate Uber-Fast Maps With 23ai Vector Tiles and H3 Inde
 xing\n\nDate &amp; Time\n\nSelected Sessions:\n\nMay 29\, 2025 12:00 PM\n\nDes
 cription\nComplex geospatial applications often require processing immense
  volumes of point data when displaying maps\, and intense spatial analytic
  tasks can severely task application performance. Oracle 23ai’s new geos
 patial features like spatial vector tiles and hexagonal hierarchical spati
 al indexing (H3) offer dramatically improvements application performance i
 n these circumstances. Jim Czuprynski will show how these new features inc
 rease the performance of a real-world geospatial application aimed at loca
 ting and analyzing the best possible locations for alternative energy sour
 ces – solar\, wind\, and even small modular reactors (SMRs) – to mitig
 ate ever-increasing electricity demands in the coming decades..\n\nSpeaker
 (s): Jim Czuprynski\, \n\nAgenda: \nhttps://us02web.zoom.us/webinar/regist
 er/3917283227736/WN_ljxOXWzKTZaaL-3ZIkXyJA#/registration\n\nVirtual: https
 ://events.vtools.ieee.org/m/486160
LOCATION:Virtual: https://events.vtools.ieee.org/m/486160
ORGANIZER:baris.kazar@oracle.com
SEQUENCE:27
SUMMARY:Create Uber-Fast Maps With 23ai Vector Tiles and H3 Indexing (AI Ta
 lks with Coffee/Tea #22)
URL;VALUE=URI:https://events.vtools.ieee.org/m/486160
X-ALT-DESC:Description: &lt;br /&gt;&lt;div class=&quot;mgb-sm zm-row&quot; data-v-06454934=&quot;&quot;
 &gt;\n&lt;div class=&quot;zm-col zm-col-5&quot; data-v-06454934=&quot;&quot;&gt;Topic&lt;/div&gt;\n&lt;div class
 =&quot;pdl-xs zm-col zm-col-19&quot; data-v-06454934=&quot;&quot;&gt;&lt;strong data-v-06454934=&quot;&quot;&gt;C
 reate Uber-Fast Maps With 23ai Vector Tiles and H3 Indexing&lt;/strong&gt;&lt;/div&gt;
 \n&lt;/div&gt;\n&lt;div class=&quot;mgb-sm zm-row&quot; data-v-06454934=&quot;&quot;&gt;\n&lt;div class=&quot;zm-c
 ol zm-col-5&quot; data-v-06454934=&quot;&quot;&gt;Date &amp;amp\; Time&lt;/div&gt;\n&lt;div class=&quot;pdl-xs
  zm-col zm-col-19&quot; data-v-06454934=&quot;&quot;&gt;\n&lt;p class=&quot;mgb-sm&quot; data-v-06454934=
 &quot;&quot;&gt;Selected Sessions:&lt;/p&gt;\n&lt;div class=&quot;selected-time&quot; data-v-06454934=&quot;&quot;&gt;\
 n&lt;p class=&quot;mgb-sm&quot; data-v-06454934=&quot;&quot;&gt;May 29\, 2025 12:00 PM&lt;/p&gt;\n&lt;/div&gt;\n
 &lt;/div&gt;\n&lt;/div&gt;\n&lt;div class=&quot;mgb-sm zm-row&quot; data-v-06454934=&quot;&quot;&gt;\n&lt;div class
 =&quot;zm-col zm-col-5&quot; data-v-06454934=&quot;&quot;&gt;Description&lt;/div&gt;\n&lt;div class=&quot;pdl-x
 s w-sp zm-col zm-col-19&quot; data-v-06454934=&quot;&quot;&gt;Complex geospatial application
 s often require processing immense volumes of point data when displaying m
 aps\, and intense spatial analytic tasks can severely task application per
 formance. Oracle 23ai&amp;rsquo\;s new geospatial features like spatial vector
  tiles and hexagonal hierarchical spatial indexing (H3) offer dramatically
  improvements application performance in these circumstances. Jim Czupryns
 ki will show how these new features increase the performance of a real-wor
 ld geospatial application aimed at locating and analyzing the best possibl
 e locations for alternative energy sources &amp;ndash\; solar\, wind\, and eve
 n small modular reactors (SMRs) &amp;ndash\; to mitigate ever-increasing elect
 ricity demands in the coming decades..&lt;/div&gt;\n&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;b
 r /&gt;&lt;p&gt;https://us02web.zoom.us/webinar/register/3917283227736/WN_ljxOXWzKT
 ZaaL-3ZIkXyJA#/registration&lt;/p&gt;
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