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DTSTART;TZID=America/Los_Angeles:20250930T170000
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DESCRIPTION:We’re excited to continue the Orange County Computer Society 
 (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedi
 cated to spotlighting groundbreaking innovations in computer science and t
 echnology. Hosted by the IEEE Orange County Computer Society Chapter\, thi
 s series brings together professionals\, students\, and tech enthusiasts t
 o explore what’s next in emerging tech.\n\nFollowing an insightful June 
 session focused on enterprise AI integration and large language model (LLM
 ) development\, we’re back this August after a brief summer break with a
 nother dynamic double-feature exploring AI at scale—from healthcare to p
 roduction-ready ML systems.\n\nAs AI adoption accelerates\, so do the comp
 lexities of real-world deployment. This month’s talks tackle those compl
 exities head-on\, offering both strategic and technical perspectives on bu
 ilding reliable\, scalable\, and human-centered AI solutions.\n\nIn this s
 ession:\n🔹 The first talk bridges the gap between ML experimentation an
 d production. Through a practical case study\, it explores the full machin
 e learning lifecycle—from training to CI/CD-enabled deployment—along w
 ith best practices in MLOps\, model monitoring\, and cross-functional coll
 aboration.\n🔹 The second talk delves into the deployment of agentic AI 
 systems in healthcare\, addressing challenges such as data heterogeneity\,
  safety\, regulation\, and trust. You’ll learn about explanation-based a
 nd modular design principles\, hybrid RAG-based deployment strategies\, an
 d real-world applications across triage\, radiology\, and dementia care.\n
 \nKey topics include:\n✅ Designing safe\, explainable agentic AI in heal
 thcare\n✅ Deployment frameworks using hybrid RAG models\n✅ ML developm
 ent lifecycle: from notebooks to production\n✅ CI/CD pipelines\, monitor
 ing\, and model versioning\n✅ Scalable and collaborative MLOps strategie
 s\n\nWhether you&#39;re building AI for regulated industries or scaling ML pip
 elines across teams\, this session will provide the tools\, frameworks\, a
 nd real-world insights to drive your work forward.\n\n📅 Join us on Tues
 day\, September 30 from 5:00 PM to 7:00 PM PT for an evening of learning\,
  discussion\, and community.\n\n🎤 Interested in speaking at a future se
 ssion? Reach out to swapnali.karvekar@ieee.org — we’re always looking 
 for passionate voices shaping the future of technology.\n\nLet’s keep ad
 vancing innovation—together.\n\nSpeaker(s): Vivek Bharti\, Babul Sahu\n\
 nAgenda: \nTime (in PST)	Activity\n05:00pm - 05:15pm	Check-in and networki
 ng\n05:15pm - 05:30pm	OCCS Chapter Introduction!\n05:30pm - 06:00pm	Speake
 r: Vivek Bharti\n06:00pm - 06:30pm	Speaker: Babul Sahu\n06:30pm - 07:00pm	
 Q/A\n\nRoom: Emerald Cove\, Bldg: UCI Beall Applied Innovation @ the Cove\
 , 5270 California Ave # 100\, P3 Innovation Center\, Irvine\, California\,
  United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/494867
LOCATION:Room: Emerald Cove\, Bldg: UCI Beall Applied Innovation @ the Cove
 \, 5270 California Ave # 100\, P3 Innovation Center\, Irvine\, California\
 , United States\, 92617\, Virtual: https://events.vtools.ieee.org/m/494867
ORGANIZER:swapnali.karvekar@ieee.org
SEQUENCE:47
SUMMARY:OCCS GET Series: Deploying AI Systems in Healthcare &amp; Real-World ML
 Ops at Scale
URL;VALUE=URI:https://events.vtools.ieee.org/m/494867
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;169&quot; data-end=&quot;564&quot;&gt;We&amp;rsquo\;
 re excited to continue the &lt;strong data-start=&quot;199&quot; data-end=&quot;282&quot;&gt;Orange 
 County Computer Society (OCCS) Global Emerging Technologies (GET) Series&lt;/
 strong&gt;&amp;mdash\;a monthly platform dedicated to spotlighting groundbreaking
  innovations in computer science and technology. Hosted by the IEEE Orange
  County Computer Society Chapter\, this series brings together professiona
 ls\, students\, and tech enthusiasts to explore what&amp;rsquo\;s next in emer
 ging tech.&lt;/p&gt;\n&lt;p data-start=&quot;566&quot; data-end=&quot;843&quot;&gt;Following an insightful
  June session focused on enterprise AI integration and large language mode
 l (LLM) development\, we&amp;rsquo\;re back this &lt;strong data-start=&quot;700&quot; data
 -end=&quot;710&quot;&gt;August&lt;/strong&gt; after a brief summer break with another dynamic
  double-feature exploring AI at scale&amp;mdash\;from healthcare to production
 -ready ML systems.&lt;/p&gt;\n&lt;p data-start=&quot;845&quot; data-end=&quot;1091&quot;&gt;As AI adoption
  accelerates\, so do the complexities of real-world deployment. This month
 &amp;rsquo\;s talks tackle those complexities head-on\, offering both strategi
 c and technical perspectives on building reliable\, scalable\, and human-c
 entered AI solutions.&lt;/p&gt;\n&lt;p data-start=&quot;1093&quot; data-end=&quot;1755&quot;&gt;In this se
 ssion:&lt;br data-start=&quot;1109&quot; data-end=&quot;1112&quot;&gt;🔹 &lt;strong data-start=&quot;1115&quot;
  data-end=&quot;1133&quot;&gt;The first talk&lt;/strong&gt; bridges the gap between ML experi
 mentation and production. Through a practical case study\, it explores the
  full machine learning lifecycle&amp;mdash\;from training to CI/CD-enabled dep
 loyment&amp;mdash\;along with best practices in MLOps\, model monitoring\, and
  cross-functional collaboration.&lt;br data-start=&quot;1459&quot; data-end=&quot;1462&quot;&gt;🔹
  &lt;strong data-start=&quot;1465&quot; data-end=&quot;1484&quot;&gt;The second talk&lt;/strong&gt; delves
  into the deployment of agentic AI systems in healthcare\, addressing chal
 lenges such as data heterogeneity\, safety\, regulation\, and trust. You&amp;r
 squo\;ll learn about explanation-based and modular design principles\, hyb
 rid RAG-based deployment strategies\, and real-world applications across t
 riage\, radiology\, and dementia care.&lt;/p&gt;\n&lt;p data-start=&quot;1757&quot; data-end=
 &quot;2044&quot;&gt;Key topics include:&lt;br data-start=&quot;1776&quot; data-end=&quot;1779&quot;&gt;✅ Design
 ing safe\, explainable agentic AI in healthcare&lt;br data-start=&quot;1833&quot; data-
 end=&quot;1836&quot;&gt;✅ Deployment frameworks using hybrid RAG models&lt;br data-start
 =&quot;1883&quot; data-end=&quot;1886&quot;&gt;✅ ML development lifecycle: from notebooks to pr
 oduction&lt;br data-start=&quot;1942&quot; data-end=&quot;1945&quot;&gt;✅ CI/CD pipelines\, monito
 ring\, and model versioning&lt;br data-start=&quot;1996&quot; data-end=&quot;1999&quot;&gt;✅ Scala
 ble and collaborative MLOps strategies&lt;/p&gt;\n&lt;p data-start=&quot;2046&quot; data-end=
 &quot;2236&quot;&gt;Whether you&#39;re building AI for regulated industries or scaling ML p
 ipelines across teams\, this session will provide the tools\, frameworks\,
  and real-world insights to drive your work forward.&lt;/p&gt;\n&lt;p data-start=&quot;2
 238&quot; data-end=&quot;2360&quot;&gt;📅 Join us on &lt;strong data-start=&quot;2252&quot; data-end=&quot;2
 274&quot;&gt;Tuesday\, September 30&lt;/strong&gt;&amp;nbsp\;from &lt;strong data-start=&quot;2280&quot; 
 data-end=&quot;2305&quot;&gt;5:00 PM to 7:00 PM PT&lt;/strong&gt; for an evening of learning\
 , discussion\, and community.&lt;/p&gt;\n&lt;p data-start=&quot;2362&quot; data-end=&quot;2531&quot;&gt;
 🎤 Interested in speaking at a future session? Reach out to &lt;strong data
 -start=&quot;2422&quot; data-end=&quot;2452&quot;&gt;&lt;a class=&quot;&quot; href=&quot;mailto:swapnali.karvekar@i
 eee.org&quot; rel=&quot;noopener&quot; data-start=&quot;2424&quot; data-end=&quot;2450&quot;&gt;swapnali.karveka
 r@ieee.org&lt;/a&gt;&lt;/strong&gt; &amp;mdash\; we&amp;rsquo\;re always looking for passionat
 e voices shaping the future of technology.&lt;/p&gt;\n&lt;p data-start=&quot;2533&quot; data-
 end=&quot;2574&quot;&gt;Let&amp;rsquo\;s keep advancing innovation&amp;mdash\;together.&lt;/p&gt;&lt;br 
 /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;table style=&quot;border-collapse: collapse\; width: 71.
 3555%\; height: 127.041px\;&quot; border=&quot;1&quot;&gt;&lt;colgroup&gt;&lt;col style=&quot;width: 38.04
 73%\;&quot;&gt;&lt;col style=&quot;width: 61.9024%\;&quot;&gt;&lt;/colgroup&gt;\n&lt;tbody&gt;\n&lt;tr style=&quot;hei
 ght: 25.4062px\;&quot;&gt;\n&lt;td style=&quot;text-align: center\; height: 25.4062px\;&quot;&gt;&lt;
 span style=&quot;font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;&lt;strong&gt;Time
  (in PST)&lt;/strong&gt;&lt;/span&gt;&lt;/td&gt;\n&lt;td style=&quot;padding-left: 40px\; height: 25
 .4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;
 &lt;strong&gt;Activity&lt;/strong&gt;&lt;/span&gt;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;height: 25.4062px
 \;&quot;&gt;\n&lt;td style=&quot;height: 25.4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new
  roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; 05:00pm - 05:15pm&lt;/sp
 an&gt;&lt;/td&gt;\n&lt;td style=&quot;text-align: left\; height: 25.4062px\;&quot;&gt;&lt;span style=&quot;
 font-family: &#39;times new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\
 ; Check-in and networking&lt;/span&gt;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;height: 25.4062px
 \;&quot;&gt;\n&lt;td style=&quot;height: 25.4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new
  roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; 05:15pm - 05:30pm&lt;/sp
 an&gt;&lt;/td&gt;\n&lt;td style=&quot;height: 25.4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times
  new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; OCCS Chapter Intr
 oduction!&lt;/span&gt;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;height: 25.4062px\;&quot;&gt;\n&lt;td style=
 &quot;height: 25.4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, times\
 , serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; 05:30pm - 06:00pm&lt;/span&gt;&lt;/td&gt;\n&lt;td st
 yle=&quot;height: 25.4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, ti
 mes\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; Speaker: Vivek Bharti&lt;/span&gt;&lt;/td&gt;
 \n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, times\, s
 erif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; 06:00pm - 06:30pm&lt;/span&gt;&lt;/td&gt;\n&lt;td&gt;&lt;span
  style=&quot;font-family: &#39;times new roman&#39;\, times\, serif\; font-size: 12pt\;
 &quot;&gt;&amp;nbsp\; Speaker: Babul Sahu&lt;/span&gt;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;height: 25.41
 67px\;&quot;&gt;\n&lt;td style=&quot;height: 25.4167px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times
  new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; 06:30pm - 07:00pm
 &lt;/span&gt;&lt;/td&gt;\n&lt;td style=&quot;height: 25.4167px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;t
 imes new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; Q/A&lt;/span&gt;&lt;/t
 d&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;
END:VEVENT
END:VCALENDAR