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DTSTAMP:20250711T020809Z
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DTSTART;TZID=America/Los_Angeles:20250624T170000
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DESCRIPTION:We are excited to continue the Orange County Computer Society (
 OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedic
 ated to spotlighting transformative innovations in computer science and te
 chnology. Hosted by the IEEE Orange County Computer Society Chapter\, this
  series unites professionals\, students\, and tech enthusiasts to explore 
 the cutting edge of what’s possible.\n\nFollowing a highly engaging May 
 session filled with thought-provoking conversations on Gen AI in healthcar
 e and insurance\, we’re thrilled to bring you a powerful double-feature 
 this June that explores both the strategic and technical sides of artifici
 al intelligence.\n\nThis month\, we shift focus to the evolving AI ecosyst
 em\, with two compelling talks. As AI adoption accelerates across industri
 es\, organizations face significant challenges with integration\, scalabil
 ity\, and security. At the same time\, large language models (LLMs) are tr
 ansforming how we build\, deploy\, and interact with intelligent systems.\
 n\nIn this session:\n🔹 The first talk dives into enterprise-level strat
 egies to overcome AI integration hurdles\, addressing legacy systems\, dat
 a silos\, and fragmented infrastructure to enable scalable\, secure soluti
 ons.\n🔹 The second talk takes you behind the scenes of LLMs—unpacking
  how they’re trained\, optimized\, and deployed—with real-world use ca
 ses that reveal how these models are powering next-generation applications
 .\n\nKey topics include:\n✅ Scalable and secure AI architectures\n✅ Br
 idging strategy and execution in AI adoption\n✅ Training pipelines\, fin
 e-tuning\, and inference of LLMs\n✅ Bias mitigation\, privacy\, and resp
 onsible AI practices\n✅ Cross-domain LLM applications in real-world scen
 arios\n\nWhether you&#39;re building AI strategies at the enterprise level or 
 curious about the inner workings of LLMs\, this session delivers valuable 
 insights\, practical takeaways\, and a deeper understanding of AI’s rapi
 dly growing impact.\n\n📅 Don’t miss this opportunity to dive into the
  evolving world of enterprise AI and model development—where practical i
 ntegration meets technical innovation.\n\n🎤 Interested in speaking at a
  future session? Reach out to swapnali.karvekar@ieee.org—we’re always 
 looking for passionate voices to lead the conversation.\n\nJoin us as we l
 earn\, connect\, and shape the future of emerging technologies—together.
 \n\nSpeaker(s): Pradyumna\, Tharun\n\nAgenda: \nTime (in PST)	Activity\n05
 :00pm - 05:15pm	Check-in and networking\n05:15pm - 05:30pm	OCCS Chapter In
 troduction!\n05:30pm - 06:00pm	Speaker: Pradyumna Amasebail Kodgi\n06:00pm
  - 06:30pm	Speaker: Tharun Sure\n06:30pm - 07:00pm	Q/A\n\nVirtual: https:/
 /events.vtools.ieee.org/m/487510
LOCATION:Virtual: https://events.vtools.ieee.org/m/487510
ORGANIZER:swapnali.karvekar@ieee.org
SEQUENCE:38
SUMMARY:OCCS GET Series: Bridging AI Integration &amp; Exploring the Inner Work
 ings of LLMs
URL;VALUE=URI:https://events.vtools.ieee.org/m/487510
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;164&quot; data-end=&quot;570&quot;&gt;&lt;span styl
 e=&quot;font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;We are excited to con
 tinue the &lt;strong data-start=&quot;195&quot; data-end=&quot;278&quot;&gt;Orange County Computer S
 ociety (OCCS) Global Emerging Technologies (GET) Series&lt;/strong&gt;&amp;mdash\;a 
 monthly platform dedicated to spotlighting &lt;strong data-start=&quot;324&quot; data-e
 nd=&quot;354&quot;&gt;transformative innovations&lt;/strong&gt; in computer science and techn
 ology. Hosted by the &lt;strong data-start=&quot;405&quot; data-end=&quot;452&quot;&gt;IEEE Orange C
 ounty Computer Society Chapter&lt;/strong&gt;\, this series unites &lt;strong data-
 start=&quot;473&quot; data-end=&quot;522&quot;&gt;professionals\, students\, and tech enthusiasts
 &lt;/strong&gt; to explore the cutting edge of what&amp;rsquo\;s possible.&lt;/span&gt;&lt;/p
 &gt;\n&lt;p data-start=&quot;572&quot; data-end=&quot;855&quot;&gt;&lt;span style=&quot;font-family: &#39;times new
  roman&#39;\, times\, serif\;&quot;&gt;Following a &lt;strong data-start=&quot;584&quot; data-end=&quot;
 615&quot;&gt;highly engaging May session&lt;/strong&gt; filled with &lt;strong data-start=&quot;
 628&quot; data-end=&quot;663&quot;&gt;thought-provoking conversations&lt;/strong&gt; on Gen AI in 
 healthcare and insurance\, we&amp;rsquo\;re thrilled to bring you a &lt;strong da
 ta-start=&quot;733&quot; data-end=&quot;760&quot;&gt;powerful double-feature&lt;/strong&gt; this June t
 hat explores both the &lt;strong data-start=&quot;794&quot; data-end=&quot;854&quot;&gt;strategic an
 d technical sides of artificial intelligence&lt;/strong&gt;.&lt;/span&gt;&lt;/p&gt;\n&lt;p data
 -start=&quot;857&quot; data-end=&quot;1210&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\,
  times\, serif\;&quot;&gt;This month\, we shift focus to the &lt;strong data-start=&quot;8
 91&quot; data-end=&quot;916&quot;&gt;evolving AI ecosystem&lt;/strong&gt;\, with two compelling ta
 lks. As AI adoption accelerates across industries\, organizations face sig
 nificant challenges with &lt;strong data-start=&quot;1038&quot; data-end=&quot;1080&quot;&gt;integra
 tion\, scalability\, and security&lt;/strong&gt;. At the same time\, &lt;strong dat
 a-start=&quot;1100&quot; data-end=&quot;1132&quot;&gt;large language models (LLMs)&lt;/strong&gt; are t
 ransforming how we build\, deploy\, and interact with intelligent systems.
 &lt;/span&gt;&lt;/p&gt;\n&lt;p data-start=&quot;1212&quot; data-end=&quot;1654&quot;&gt;&lt;span style=&quot;font-family
 : &#39;times new roman&#39;\, times\, serif\;&quot;&gt;In this session:&lt;/span&gt;&lt;br&gt;&lt;span st
 yle=&quot;font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;🔹 The &lt;strong da
 ta-start=&quot;1236&quot; data-end=&quot;1250&quot;&gt;first talk&lt;/strong&gt; dives into enterprise-
 level strategies to &lt;strong data-start=&quot;1293&quot; data-end=&quot;1328&quot;&gt;overcome AI 
 integration hurdles&lt;/strong&gt;\, addressing legacy systems\, data silos\, an
 d fragmented infrastructure to enable scalable\, secure solutions.&lt;/span&gt;&lt;
 br data-start=&quot;1436&quot; data-end=&quot;1439&quot;&gt;&lt;span style=&quot;font-family: &#39;times new 
 roman&#39;\, times\, serif\;&quot;&gt;🔹 The &lt;strong data-start=&quot;1446&quot; data-end=&quot;146
 1&quot;&gt;second talk&lt;/strong&gt; takes you behind the scenes of LLMs&amp;mdash\;unpacki
 ng how they&amp;rsquo\;re &lt;strong data-start=&quot;1520&quot; data-end=&quot;1556&quot;&gt;trained\, 
 optimized\, and deployed&lt;/strong&gt;&amp;mdash\;with real-world use cases that re
 veal how these models are powering next-generation applications.&lt;/span&gt;&lt;/p
 &gt;\n&lt;p data-start=&quot;1656&quot; data-end=&quot;1969&quot;&gt;&lt;span style=&quot;font-family: &#39;times n
 ew roman&#39;\, times\, serif\;&quot;&gt;&lt;strong data-start=&quot;1656&quot; data-end=&quot;1678&quot;&gt;Key
  topics include&lt;/strong&gt;:&lt;/span&gt;&lt;br data-start=&quot;1679&quot; data-end=&quot;1682&quot;&gt;&lt;spa
 n style=&quot;font-family: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;✅ &lt;strong dat
 a-start=&quot;1684&quot; data-end=&quot;1724&quot;&gt;Scalable and secure AI architectures&lt;/stron
 g&gt;&lt;/span&gt;&lt;br data-start=&quot;1724&quot; data-end=&quot;1727&quot;&gt;&lt;span style=&quot;font-family: &#39;
 times new roman&#39;\, times\, serif\;&quot;&gt;✅ &lt;strong data-start=&quot;1729&quot; data-end
 =&quot;1764&quot;&gt;Bridging strategy and execution&lt;/strong&gt; in AI adoption&lt;/span&gt;&lt;br 
 data-start=&quot;1779&quot; data-end=&quot;1782&quot;&gt;&lt;span style=&quot;font-family: &#39;times new rom
 an&#39;\, times\, serif\;&quot;&gt;✅ &lt;strong data-start=&quot;1784&quot; data-end=&quot;1834&quot;&gt;Train
 ing pipelines\, fine-tuning\, and inference&lt;/strong&gt; of LLMs&lt;/span&gt;&lt;br dat
 a-start=&quot;1842&quot; data-end=&quot;1845&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;
 \, times\, serif\;&quot;&gt;✅ &lt;strong data-start=&quot;1847&quot; data-end=&quot;1875&quot;&gt;Bias mit
 igation\, privacy&lt;/strong&gt;\, and responsible AI practices&lt;/span&gt;&lt;br data-s
 tart=&quot;1905&quot; data-end=&quot;1908&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, 
 times\, serif\;&quot;&gt;✅ &lt;strong data-start=&quot;1910&quot; data-end=&quot;1943&quot; data-is-onl
 y-node=&quot;&quot;&gt;Cross-domain LLM applications&lt;/strong&gt; in real-world scenarios&lt;/
 span&gt;&lt;/p&gt;\n&lt;p data-start=&quot;1971&quot; data-end=&quot;2210&quot;&gt;&lt;span style=&quot;font-family: 
 &#39;times new roman&#39;\, times\, serif\;&quot;&gt;Whether you&#39;re building &lt;strong data-
 start=&quot;1995&quot; data-end=&quot;2036&quot;&gt;AI strategies at the enterprise level&lt;/strong
 &gt; or curious about the &lt;strong data-start=&quot;2058&quot; data-end=&quot;2084&quot;&gt;inner wor
 kings of LLMs&lt;/strong&gt;\, this session delivers &lt;strong data-start=&quot;2108&quot; d
 ata-end=&quot;2150&quot;&gt;valuable insights\, practical takeaways&lt;/strong&gt;\, and a de
 eper understanding of AI&amp;rsquo\;s rapidly growing impact.&lt;/span&gt;&lt;/p&gt;\n&lt;p d
 ata-start=&quot;2212&quot; data-end=&quot;2377&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roma
 n&#39;\, times\, serif\;&quot;&gt;📅 &lt;strong data-start=&quot;2215&quot; data-end=&quot;2246&quot;&gt;Don&amp;r
 squo\;t miss this opportunity&lt;/strong&gt; to dive into the evolving world of 
 enterprise AI and model development&amp;mdash\;where &lt;strong data-start=&quot;2324&quot;
  data-end=&quot;2376&quot;&gt;practical integration meets technical innovation&lt;/strong&gt;
 .&lt;/span&gt;&lt;/p&gt;\n&lt;p data-start=&quot;2379&quot; data-end=&quot;2542&quot;&gt;&lt;span style=&quot;font-famil
 y: &#39;times new roman&#39;\, times\, serif\;&quot;&gt;🎤 Interested in speaking at a f
 uture session? Reach out to &lt;strong data-start=&quot;2439&quot; data-end=&quot;2469&quot;&gt;&lt;a c
 lass=&quot;&quot; href=&quot;mailto:swapnali.karvekar@ieee.org&quot; rel=&quot;noopener&quot; data-start
 =&quot;2441&quot; data-end=&quot;2467&quot;&gt;swapnali.karvekar@ieee.org&lt;/a&gt;&lt;/strong&gt;&amp;mdash\;we&amp;
 rsquo\;re always looking for &lt;strong data-start=&quot;2495&quot; data-end=&quot;2516&quot;&gt;pas
 sionate voices&lt;/strong&gt; to lead the conversation.&lt;/span&gt;&lt;/p&gt;\n&lt;p data-star
 t=&quot;2544&quot; data-end=&quot;2637&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, tim
 es\, serif\;&quot;&gt;Join us as we &lt;strong data-start=&quot;2558&quot; data-end=&quot;2598&quot;&gt;lear
 n\, connect\, and shape the future&lt;/strong&gt; of emerging technologies&amp;mdash
 \;&lt;strong data-start=&quot;2624&quot; data-end=&quot;2636&quot;&gt;together&lt;/strong&gt;.&lt;/span&gt;&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
 .0473%\;&quot;&gt;&lt;col style=&quot;width: 61.9024%\;&quot;&gt;&lt;/colgroup&gt;\n&lt;tbody&gt;\n&lt;tr style=&quot;
 height: 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;T
 ime (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: 25.406
 2px\;&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;
 /span&gt;&lt;/td&gt;\n&lt;td style=&quot;text-align: left\; height: 25.4062px\;&quot;&gt;&lt;span styl
 e=&quot;font-family: &#39;times new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nb
 sp\; Check-in and networking&lt;/span&gt;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;height: 25.406
 2px\;&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;
 /span&gt;&lt;/td&gt;\n&lt;td style=&quot;height: 25.4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;ti
 mes new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; OCCS Chapter I
 ntroduction!&lt;/span&gt;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;height: 25.4062px\;&quot;&gt;\n&lt;td sty
 le=&quot;height: 25.4062px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;times new roman&#39;\, tim
 es\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; 05:30pm - 06:00pm&lt;/span&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\; Speaker: Pradyumna Amasebail K
 odgi&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 ro
 man&#39;\, times\, serif\; 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\; f
 ont-size: 12pt\;&quot;&gt;&amp;nbsp\; Speaker: &lt;span style=&quot;font-size: 11pt\; line-hei
 ght: 115%\;&quot;&gt;Tharun Sure&lt;/span&gt;&lt;/span&gt;&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr style=&quot;height: 25.
 4167px\;&quot;&gt;\n&lt;td style=&quot;height: 25.4167px\;&quot;&gt;&lt;span style=&quot;font-family: &#39;tim
 es new roman&#39;\, times\, serif\; font-size: 12pt\;&quot;&gt;&amp;nbsp\; 06:30pm - 07:00
 pm&lt;/span&gt;&lt;/td&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\; Q/A&lt;/span&gt;&lt;
 /td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;
END:VEVENT
END:VCALENDAR