BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Colombo BEGIN:DAYLIGHT DTSTART:20380119T084407 TZOFFSETFROM:+0530 TZOFFSETTO:+0530 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+0530 END:DAYLIGHT BEGIN:STANDARD DTSTART:20060415T000000 TZOFFSETFROM:+0600 TZOFFSETTO:+0530 RRULE:FREQ=YEARLY;BYDAY=3SA;BYMONTH=4 TZNAME:+0530 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260417T172958Z UID:C6A02D42-B859-4BAD-9C8C-6AB1C427E072 DTSTART;TZID=Asia/Colombo:20260217T130000 DTEND;TZID=Asia/Colombo:20260217T150000 DESCRIPTION:The ConnectX Industry Visit Series is an initiative organized b y the IEEE Computational Intelligence Society (CIS) Student Branch Chapter of the Informatics Institute of Technology (IIT)\, aimed at providing stu dents with real-world industry exposure in Artificial Intelligence\, Data Science\, and emerging technologies.\n\nThe third industry visit of the se ries was conducted to TIQRI on 17 February 2025\, where students gained va luable insights into how modern data-driven solutions are developed to add ress real-world challenges. Participants were introduced to key concepts i n Data Engineering\, including how data is extracted\, transformed\, and l oaded to build scalable systems that support various business use cases\, along with the importance of selecting appropriate technologies based on c lient requirements and scalability.\n\nStudents also gained an understandi ng of industry expectations\, including technical competencies\, teamwork\ , communication skills\, and adaptability in professional environments\, w hile the sessions emphasized ethical considerations in handling data\, par ticularly in relation to personal information and emerging AI technologies .\n\nThrough interactive knowledge-sharing sessions conducted by industry professionals\, participants developed a clearer understanding of real-wor ld workflows\, project collaboration\, and career pathways in the tech ind ustry.\n\nThe session featured knowledge sharing by industry professionals from TIQRI\, including:\n\nMs. Shamali Weerasinghe – Associate Tech Lea d\nMr. Ayodhya Dayananda – Associate Tech Lead\nMs. Sheron Kitchilan – Senior Data Engineer\n\nThe visit successfully enhanced students’ aware ness of data engineering practices and industry expectations\, while encou raging them to build skills relevant to modern data-driven roles.\n\n[]\n\ nOne Galle Face Tower\, Level 14\, 1A Centre Road\, Colombo 02\, Colombo\, Sri Lanka\, Sri Lanka LOCATION:One Galle Face Tower\, Level 14\, 1A Centre Road\, Colombo 02\, Co lombo\, Sri Lanka\, Sri Lanka ORGANIZER:ieeecis@iit.ac.lk SEQUENCE:58 SUMMARY:CONNECTX INDUSTRY VISIT SERIES – TIQRI URL;VALUE=URI:https://events.vtools.ieee.org/m/555699 X-ALT-DESC:Description: <br /><p style="text-align: justify\;" data-start=" 401" data-end="721">The <strong>ConnectX Industry Visit Series </strong>is an initiative organized by the <strong>IEEE Computational Intelligence So ciety (CIS) Student Branch Chapter of the Informatics Institute of Technol ogy (IIT)</strong>\, aimed at providing students with real-world industry exposure in Artificial Intelligence\, Data Science\, and emerging technolo gies.</p>\n<p style="text-align: justify\;" data-start="723" data-end="127 5">The <strong>third industry visit</strong> of the series was conducted t o <strong><span class="hover:entity-accent entity-underline inline cursor- pointer align-baseline"><span class="whitespace-normal">TIQRI</span></span ></strong>&nbsp\;on <strong data-start="820" data-end="840">17 February 20 25</strong>\, where students gained valuable insights into how modern data -driven solutions are developed to address real-world challenges. Particip ants were introduced to key concepts in Data Engineering\, including how d ata is extracted\, transformed\, and loaded to build scalable systems that support various business use cases\, along with the importance of selecti ng appropriate technologies based on client requirements and scalability.< /p>\n<p style="text-align: justify\;" data-start="1277" data-end="1605">St udents also gained an understanding of industry expectations\, including t echnical competencies\, teamwork\, communication skills\, and adaptability in professional environments\, while the sessions emphasized ethical cons iderations in handling data\, particularly in relation to personal informa tion and emerging AI technologies.</p>\n<p style="text-align: justify\;" d ata-start="1607" data-end="1829">Through interactive knowledge-sharing ses sions conducted by industry professionals\, participants developed a clear er understanding of real-world workflows\, project collaboration\, and car eer pathways in the tech industry.</p>\n<p style="text-align: justify\;" d ata-start="1831" data-end="1952">The session featured knowledge sharing by industry professionals from <span class="hover:entity-accent entity-under line inline cursor-pointer align-baseline"><span class="whitespace-normal" >TIQRI</span></span>\, including:</p>\n<p style="text-align: justify\;" da ta-start="1954" data-end="2123"><strong data-start="1954" data-end="1981"> Ms. Shamali Weerasinghe</strong> &ndash\; Associate Tech Lead<br data-star t="2003" data-end="2006"><strong data-start="2006" data-end="2031">Mr. Ayo dhya Dayananda</strong> &ndash\; Associate Tech Lead<br data-start="2071" data-end="2074"><strong data-start="2074" data-end="2098">Ms. Sheron Kitch ilan</strong> &ndash\; Senior Data Engineer</p>\n<p style="text-align: jus tify\;" data-start="2125" data-end="2312">The visit successfully enhanced students&rsquo\; awareness of data engineering practices and industry expe ctations\, while encouraging them to build skills relevant to modern data- driven roles.</p>\n<p data-start="2125" data-end="2312"><img style="float: left\;" src="https://events.vtools.ieee.org/vtools_ui/media/display/38cd2 9c3-d829-416a-a489-53eea3b85f9f" alt="" width="525" height="394"></p> END:VEVENT END:VCALENDAR