BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260508T015244Z UID:D6E7A897-138F-44FA-B6EA-08EEC9E5E929 DTSTART;TZID=America/New_York:20260504T190000 DTEND;TZID=America/New_York:20260504T200000 DESCRIPTION:Special Presentation by Rahul Reddy Hanumanthgari\n\nHosted by the Expert Tech Talks (IEEE Philadelphia Section)\n\nDate/Time: Monday\, 4 May 2026 @ 7 PM Eastern Time\n\nTopic:\n\nBuilding AI-Native Enterprise a nd Healthcare Systems\n\nAbstract:\n\nOrganizations across enterprise and healthcare are investing heavily in AI\, yet only a small number are succe ssfully turning pilots into systems that deliver real\, lasting value. The challenge is no longer just building models — it is identifying the rig ht use cases\, deciding where AI is truly needed\, and designing systems t hat are trustworthy\, scalable\, observable\, and aligned with operational workflows. In high-stakes environments such as healthcare\, these require ments become even more critical\, where quality\, compliance\, human overs ight\, and reliability directly shape adoption and impact. Agentic AI\, or chestration frameworks\, evaluation-driven development\, and human-in-the- loop design are creating a new path from experimentation to transformation . In this presentation\, we explore how organizations can evaluate AI oppo rtunities\, choose the right tools and architectural foundations\, and bui ld trusted agentic systems that move beyond isolated experiments into prod uction-ready capabilities for enterprise and healthcare environments.\n\nS peaker:\n\nRahul Reddy is an AI Engineering Leader and Applied AI Research er focused on building trustworthy\, production-ready AI systems for enter prise and healthcare environments. His work spans agentic AI\, enterprise architecture\, evaluation-driven development\, automation\, and applied re search\, with a strong emphasis on high-impact and regulated settings. Rah ul is particularly interested in how organizations can move from fragmente d AI experimentation to scalable systems that are governed\, observable\, and aligned with real business and clinical workflows. His areas of focus include agentic systems\, enterprise AI platforms\, LLM evaluation\, orche stration patterns\, and trustworthy AI deployment. He brings a practical p erspective on translating technical depth into strategic impact and helpin g organizations prepare for an AI-native future.\n\nCo-sponsored by: IEEE Future Networks AI/ML Working Group\n\nSpeaker(s): Rahul\n\nVirtual: https ://events.vtools.ieee.org/m/556473 LOCATION:Virtual: https://events.vtools.ieee.org/m/556473 ORGANIZER:rachitjain4444@gmail.com SEQUENCE:162 SUMMARY:Expert Tech Talks URL;VALUE=URI:https://events.vtools.ieee.org/m/556473 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="margin-top: 12.0p t\;">Special Presentation by<strong> Rahul Reddy Hanumanthgari</strong></p >\n<p class="MsoNormal" style="margin-top: 12.0pt\;">Hosted by the Expert Tech Talks (IEEE Philadelphia Section)</p>\n<p class="MsoNormal" style="ma rgin-top: 12.0pt\;"><strong><span style="font-size: 14.0pt\; font-family: Copperplate\; mso-fareast-font-family: PMingLiU\; mso-fareast-theme-font: minor-fareast\; mso-bidi-font-family: Arial\; mso-bidi-theme-font: minor-b idi\; mso-ansi-language: EN-US\; mso-fareast-language: ZH-TW\; mso-bidi-la nguage: AR-SA\;">Date/Time</span></strong><span style="font-size: 12.0pt\; font-family: 'Calibri'\,sans-serif\; mso-ascii-theme-font: minor-latin\; mso-fareast-font-family: PMingLiU\; mso-fareast-theme-font: minor-fareast\ ; mso-hansi-theme-font: minor-latin\; mso-bidi-font-family: Arial\; mso-bi di-theme-font: minor-bidi\; mso-ansi-language: EN-US\; mso-fareast-languag e: ZH-TW\; mso-bidi-language: AR-SA\;">: <strong>Monday\, 4 May 2026</stro ng><strong> @ 7 PM Eastern Time</strong></span></p>\n<p class="MsoNormal" style="margin-top: 12.0pt\;"><span style="font-size: 12.0pt\; font-family: 'Calibri'\,sans-serif\; mso-ascii-theme-font: minor-latin\; mso-fareast-f ont-family: PMingLiU\; mso-fareast-theme-font: minor-fareast\; mso-hansi-t heme-font: minor-latin\; mso-bidi-font-family: Arial\; mso-bidi-theme-font : minor-bidi\; mso-ansi-language: EN-US\; mso-fareast-language: ZH-TW\; ms o-bidi-language: AR-SA\;"><strong><img src="https://events.vtools.ieee.org /vtools_ui/media/display/ae3f3e64-8a3c-4cb6-a3d7-37009d5b7996"></strong></ span></p>\n<p class="MsoNormal" style="margin-top: .25in\;"><strong><u><sp an style="font-size: 16.0pt\; font-family: Copperplate\;">Topic</span></u> </strong><strong><span style="font-size: 16.0pt\; font-family: Copperplate \;">:</span></strong></p>\n<p class="MsoNormal"><strong>Building AI-Native Enterprise and Healthcare Systems</strong></p>\n<p class="MsoNormal" styl e="margin-top: .25in\;"><strong><u><span style="font-size: 16.0pt\; font-f amily: Copperplate\;">Abstract</span></u></strong><strong><span style="fon t-size: 16.0pt\; font-family: Copperplate\;">:</span></strong></p>\n<p>Org anizations across enterprise and healthcare are investing heavily in AI\, yet only a small number are successfully turning pilots into systems that deliver real\, lasting value. The challenge is no longer just building mod els &mdash\; it is identifying the right use cases\, deciding where AI is truly needed\, and designing systems that are trustworthy\, scalable\, obs ervable\, and aligned with operational workflows. In high-stakes environme nts such as healthcare\, these requirements become even more critical\, wh ere quality\, compliance\, human oversight\, and reliability directly shap e adoption and impact. Agentic AI\, orchestration frameworks\, evaluation- driven development\, and human-in-the-loop design are creating a new path from experimentation to transformation. In this presentation\, we explore how organizations can evaluate AI opportunities\, choose the right tools a nd architectural foundations\, and build trusted agentic systems that move beyond isolated experiments into production-ready capabilities for enterp rise and healthcare environments.</p>\n<p><strong><span style="font-size: 16.0pt\; font-family: Copperplate\;"><u>Speaker</u>:</span></strong></p>\n <table style="border-collapse: collapse\; width: 100%\;" border="1"><colgr oup><col style="width: 28.878049%\;"><col style="width: 71.02439%\;"></col group>\n<tbody>\n<tr>\n<td><img src="https://events.vtools.ieee.org/vtools _ui/media/display/eeeba74c-4a4e-44c5-bc43-175bc99ea233" width="228" height ="228"></td>\n<td>\n<p><strong>Rahul Reddy</strong> is an AI Engineering L eader and Applied AI Researcher focused on building trustworthy\, producti on-ready AI systems for enterprise and healthcare environments. His work s pans agentic AI\, enterprise architecture\, evaluation-driven development\ , automation\, and applied research\, with a strong emphasis on high-impac t and regulated settings. Rahul is particularly interested in how organiza tions can move from fragmented AI experimentation to scalable systems that are governed\, observable\, and aligned with real business and clinical w orkflows. His areas of focus include agentic systems\, enterprise AI platf orms\, LLM evaluation\, orchestration patterns\, and trustworthy AI deploy ment. He brings a practical perspective on translating technical depth int o strategic impact and helping organizations prepare for an AI-native futu re.</p>\n</td>\n</tr>\n</tbody>\n</table>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR