BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Phoenix BEGIN:STANDARD DTSTART:19671029T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250826T180411Z UID:C9257C75-61DD-44A6-AA8C-47DA319141E3 DTSTART;TZID=America/Phoenix:20250826T100000 DTEND;TZID=America/Phoenix:20250826T110000 DESCRIPTION:Title: Demystifying AI: Architecting Trust\, Impact\, and Oppor tunity in the Age of Intelligent Systems\n\nAbstract: AI is no longer a di stant future\; it’s part of how we work\, build\, and make decisions tod ay. But as AI innovation speeds up\, early-career professionals often face a key question: How do we engage with AI in ways that are ethical\, meani ngful\, and future-proof?\n\nIn this session\, we’ll cut through the noi se and hype to explore how AI is truly transforming industries\, from smar t infrastructure and digital services to enterprise systems and customer e xperience. We’ll also look at what it takes to design AI systems that ar e not only smart but also trustworthy.\n\nKey takeaways will include:\n\n- Real-world examples of AI adoption across engineering and customer-facing domains\n- Principles of responsible AI design\, data governance\, and se cure architecture\n- Why AI strategy must prioritize trust\, transparency\ , and human alignment\n- How young professionals can prepare for and thriv e in AI-driven\, interdisciplinary careers\n\nThis talk aims to inspire an d equip early-career technologists not just to adapt to AI\, but to help s hape its responsible and scalable future—with curiosity\, creativity\, a nd confidence.\n\nSpeaker(s): Srinivas Sandiri\, \n\nVirtual: https://even ts.vtools.ieee.org/m/495791 LOCATION:Virtual: https://events.vtools.ieee.org/m/495791 ORGANIZER:Anamitra.Pal@asu.edu SEQUENCE:21 SUMMARY:Demystifying AI: Architecting Trust\, Impact\, and Opportunity in t he Age of Intelligent Systems URL;VALUE=URI:https://events.vtools.ieee.org/m/495791 X-ALT-DESC:Description: <br /><p><strong>Title:</strong> <em><span style="f ont-size: 12.0pt\; font-family: 'Aptos'\,sans-serif\; mso-fareast-font-fam ily: Aptos\; mso-fareast-theme-font: minor-latin\; mso-bidi-font-family: A ptos\; mso-ansi-language: EN-US\; mso-fareast-language: EN-US\; mso-bidi-l anguage: AR-SA\;">Demystifying AI: Architecting Trust\, Impact\, and Oppor tunity in the Age of Intelligent Systems</span></em></p>\n<p><strong>Abstr act: </strong>AI is no longer a distant future\; it&rsquo\;s part of how w e work\, build\, and make decisions today. But as AI innovation speeds up\ , early-career professionals often face a key question: How do we engage w ith AI in ways that are ethical\, meaningful\, and future-proof?</p>\n<p>I n this session\, we&rsquo\;ll cut through the noise and hype to explore ho w AI is truly transforming industries\, from smart infrastructure and digi tal services to enterprise systems and customer experience. We&rsquo\;ll a lso look at what it takes to design AI systems that are not only smart but also trustworthy.</p>\n<p>Key takeaways will include:</p>\n<ul type="disc ">\n<li class="MsoNormal" style="mso-margin-top-alt: auto\; mso-margin-bot tom-alt: auto\; mso-list: l0 level1 lfo1\; tab-stops: list .5in\;">Real-wo rld examples of AI adoption across engineering and customer-facing domains </li>\n<li class="MsoNormal" style="mso-margin-top-alt: auto\; mso-margin- bottom-alt: auto\; mso-list: l0 level1 lfo1\; tab-stops: list .5in\;">Prin ciples of responsible AI design\, data governance\, and secure architectur e</li>\n<li class="MsoNormal" style="mso-margin-top-alt: auto\; mso-margin -bottom-alt: auto\; mso-list: l0 level1 lfo1\; tab-stops: list .5in\;">Why AI strategy must prioritize trust\, transparency\, and human alignment</l i>\n<li class="MsoNormal" style="mso-margin-top-alt: auto\; mso-margin-bot tom-alt: auto\; mso-list: l0 level1 lfo1\; tab-stops: list .5in\;">How you ng professionals can prepare for and thrive in AI-driven\, interdisciplina ry careers</li>\n</ul>\n<p>This talk aims to inspire and equip early-caree r technologists not just to adapt to AI\, but to help shape its responsibl e and scalable future&mdash\;with curiosity\, creativity\, and confidence. </p> END:VEVENT END:VCALENDAR