BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20250513T020010Z UID:D3C47183-FC2F-417D-B36E-992D654AB64F DTSTART;TZID=America/Los_Angeles:20250430T190000 DTEND;TZID=America/Los_Angeles:20250430T200000 DESCRIPTION:Speaker: Dr. Kommuri Krishnaveni <[LinkedIn](https://www.linked in.com/in/krishnaveni-kommuri-35894718/)>\n\nTitle: Extensive AI Infrastru cture considerations\n\nAbstract: The increasing use of artificial intelli gence (AI)\, including generative AI (GenAI)\, has brought attention to th e challenges posed by AI workloads on technology infrastructure. These wor kloads require significant computational resources and also place substant ial demands on data\, storage\, and network infrastructure for tasks such as training AI models\, conducting inferencing\, and ensuring data securit y and governance to meet data residency and sovereignty regulations.\n\nBi o: Dr. Krishnaveni Kommuri received the B. Tech. degree from the Jawaharla l Nehru Technological University\, Hyderabad\, in 2005 and Ph.D. degree fr om the Koneru Lakshmaiah Education Foundation\, Vaddeswaram\, Andhra Prade sh\, India\, in 2022. She is currently working as an Sr. Software Engineer in Wipro as a IoT Edge development expert. She is involved in teaching of machine learning\, artificial intelligence\, IoT\, Embedded systems\, Pyt hon\, C\, CPP. She has around eleven years of teaching and research experi ences and contributed a number of research articles in several standard jo urnals and conference proceedings of National and International. Her main research interests include artificial intelligence\, machine learning\, Cl oud computing and soft edge computing.\n\nSpeaker(s): Dr. Krishnaveni Komm uri\n\nVirtual: https://events.vtools.ieee.org/m/481785 LOCATION:Virtual: https://events.vtools.ieee.org/m/481785 ORGANIZER:ruben.glatt@ieee.org SEQUENCE:117 SUMMARY:Tech Talk: Extensive AI Infrastructure considerations URL;VALUE=URI:https://events.vtools.ieee.org/m/481785 X-ALT-DESC:Description: <br /><div><strong>Speaker:&nbsp\;</strong>Dr. Komm uri Krishnaveni &lt\;<a id="ow69" href="https://www.linkedin.com/in/krishn aveni-kommuri-35894718/">LinkedIn</a>&gt\;</div>\n<div><strong>&nbsp\;</st rong></div>\n<div><strong>Title:</strong>&nbsp\;Extensive AI Infrastructur e considerations<br><br><strong>Abstract:</strong>&nbsp\;The increasing us e of artificial intelligence (AI)\, including generative AI (GenAI)\, has brought attention to the challenges posed by AI workloads on technology in frastructure. These workloads require significant computational resources and also place substantial demands on data\, storage\, and network infrast ructure for tasks such as training AI models\, conducting inferencing\, an d ensuring data security and governance to meet data residency and soverei gnty regulations.<br><strong><br>Bio:</strong> Dr. Krishnaveni Kommuri rec eived the B. Tech. degree from the Jawaharlal Nehru Technological Universi ty\, Hyderabad\, in 2005 and Ph.D. degree from the Koneru Lakshmaiah Educa tion Foundation\, Vaddeswaram\, Andhra Pradesh\, India\, in 2022. She is c urrently working as an Sr. Software Engineer in Wipro as a IoT Edge develo pment expert. She is involved in teaching of machine learning\, artificial intelligence\, IoT\, Embedded systems\, Python\, C\, CPP. She has around eleven years of teaching and research experiences and contributed a number of research articles in several standard journals and conference proceedi ngs of National and International. Her main research interests include art ificial intelligence\, machine learning\, Cloud computing and soft edge co mputing.</div> END:VEVENT END:VCALENDAR