BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CiviCRM//NONSGML CiviEvent iCal//EN
X-WR-TIMEZONE:America/Toronto
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:America/Toronto
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261104T100000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:CiviCRM_EventID_962_33f1fc88c5b8fb3db44ce4f149357a58@www.pemac.org
SUMMARY:Complimentary Webinar from AICDA: Capturing Instit
 utional Knowledge Before It Walks Out the Door
X-ALT-DESC;FMTTYPE=text/html:<!DOCTYPE HTML PUBLIC
  "-//W3C//DTD HTML 3.2//EN"><html><body><p> </p>\n
  \n <p><strong>*This event is a like-minded event 
 and not presented by PEMAC*</strong></p>\n \n <p>A
 ICDA and its AI systems partner Octovus\, both PEM
 AC Allied members are hosting a complimentary educ
 ational webinar for municipal CAOs and senior exec
 utives\, “Capturing Institutional Knowledge Before
  It Walks Out the Door”\, </p>\n \n <p>Three strai
 ght years of national MNP/Leger municipal surveys 
 point to the same gap: only about 1 in 5 municipal
 ities have an organization-wide succession plan th
 at’s actively maintained\, with the 2026 report ex
 plicitly framing retiring staff as a “knowledge tr
 ansfer” risk.</p>\n \n <p>Positioned as a cost-man
 agement issue\, not an AI experiment\, institution
 al knowledge leaving an organization has become th
 e #1 strategic priority nationally (70%\, and stil
 l rising)\, even as AI/GenAI’s standing as a stand
 -alone priority has cooled since its 2025 peak. Lo
 sing institutional knowledge is expensive no matte
 r how its solved.</p>\n \n <h3>Details</h3>\n \n <
 ul>\n 	<li>Date: November 4</li>\n 	<li>Time: 10 a
 .m. Mountain Time</li>\n 	<li>Duration: 60 minutes
  (45 information sharing\, 15 for Q&A)</li>\n 	<li
 >Location: Google Meet<br />\n 	 </li>\n </ul>\n \
 n <h3>Agenda </h3>\n \n <ul>\n 	<li>Welcome and in
 troduction</li>\n 	<li>The municipal challenge: do
 ing more with limited capacity</li>\n 	<li>From AI
  hype to practical AI: what modern AI and knowledg
 e-retrieval systems can realistically do</li>\n 	<
 li>Protecting institutional knowledge: succession\
 , onboarding\, policies\, procedures and access to
  organizational knowledge</li>\n 	<li>Practical mu
 nicipal use cases: internal staff support\, citize
 n services\, public works and field teams\, traini
 ng and cross-department knowledge access</li>\n 	<
 li>Privacy\, security and responsible AI adoption<
 /li>\n 	<li>Starting small: identifying a suitable
  first use case and moving from pilot to broader m
 unicipal capability</li>\n 	<li>Questions and disc
 ussion</li>\n </ul>\n \n <p>Seats are limited to 2
 5 attendees to keep the Q&A useful. Please registe
 r today!</p>\n \n <p><a class="button" href="https
 ://docs.google.com/forms/d/e/1FAIpQLScqxKZMm0mpuKt
 T-JzGDV3g6naI8B1nRXo6dgDTJj_ZORW_gg/viewform" rel=
 "noreferrer noopener" target="_blank">Register</a>
  </p></body></html>
DESCRIPTION: \n \n \n \n *This event is a like-minded event an
 d not presented by PEMAC*\n \n \n \n AICDA and its
  AI systems partner Octovus\, both PEMAC Allied me
 mbers are hosting a complimentary educational webi
 nar for municipal CAOs and senior executives\, “Ca
 pturing Institutional Knowledge Before It Walks Ou
 t the Door”\, \n \n \n \n Three straight years of 
 national MNP/Leger municipal surveys point to the 
 same gap: only about 1 in 5 municipalities have an
  organization-wide succession plan that’s actively
  maintained\, with the 2026 report explicitly fram
 ing retiring staff as a “knowledge transfer” risk.
 \n \n \n \n Positioned as a cost-management issue\
 , not an AI experiment\, institutional knowledge l
 eaving an organization has become the #1 strategic
  priority nationally (70%\, and still rising)\, ev
 en as AI/GenAI’s standing as a stand-alone priorit
 y has cooled since its 2025 peak. Losing instituti
 onal knowledge is expensive no matter how its solv
 ed.\n \n \n \n Details\n \n \n \n 	Date: November 
 4\n 	Time: 10 a.m. Mountain Time\n 	Duration: 60 m
 inutes (45 information sharing\, 15 for Q&A)\n 	Lo
 cation: Google Meet\n \n 	 \n \n \n Agenda \n \n \
 n \n 	Welcome and introduction\n 	The municipal ch
 allenge: doing more with limited capacity\n 	From 
 AI hype to practical AI: what modern AI and knowle
 dge-retrieval systems can realistically do\n 	Prot
 ecting institutional knowledge: succession\, onboa
 rding\, policies\, procedures and access to organi
 zational knowledge\n 	Practical municipal use case
 s: internal staff support\, citizen services\, pub
 lic works and field teams\, training and cross-dep
 artment knowledge access\n 	Privacy\, security and
  responsible AI adoption\n 	Starting small: identi
 fying a suitable first use case and moving from pi
 lot to broader municipal capability\n 	Questions a
 nd discussion\n \n \n Seats are limited to 25 atte
 ndees to keep the Q&A useful. Please register toda
 y!\n \n \n \n Register (https://docs.google.com/fo
 rms/d/e/1FAIpQLScqxKZMm0mpuKtT-JzGDV3g6naI8B1nRXo6
 dgDTJj_ZORW_gg/viewform) \n \n 
CATEGORIES:Events of Like-Minded Organizations
CALSCALE:GREGORIAN
DTSTAMP;TZID=America/Toronto:20261104T100000
DTSTART;TZID=America/Toronto:20261104T100000
DTEND;TZID=America/Toronto:20261104T110000
URL:https://www.pemac.org/civicrm/event/info?reset=1&id=962
END:VEVENT
END:VCALENDAR