BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240403T030856Z UID:E4205CCF-7D6E-42E2-A436-FDFB53038AB2 DTSTART;TZID=America/New_York:20240402T180000 DTEND;TZID=America/New_York:20240402T190000 DESCRIPTION:Abstract: Predicting the future is never easy\, it always entai ls a degree of uncertainty\, if not luck. Predicting technology trends is even harder as it requires both technical and business acumen\, e.g.\, whe ther the technology will be developed\, productized\, and ultimately adopt ed on the market. It is almost an art to distill between a fashion and a t rue scientific trend. At the same time\, the public likes to read predicti ons and many individuals and organizations regularly write technology pred ictions\, such as Gartner\, MIT\, Forbes and many others regularly produce predictions. IEEE Computer Society started its technology predictions inf ormally in early 2010 and formally via annual press releases in 2014\, fol lowed by their respective scorecards in 2016. We realized that our audienc e appreciates self-evaluation\, hence we introduced scorecards at the end of the period of prediction. Our predictions reached substantial audience\ , e.g.\, in 2018\, it was picked up by 300 media outlets (84.6M audience)\ , which is entirely different from classical publishing. We considered pre dictions as a new type of publication\, a lightweight\, short publication (approximately a paragraph per prediction). These predictions also trigger ed other media outreach\, such as blogs\, interviews\, panel sessions\, an d this special issue of IEEE Computer magazine. Over the years we became b etter in press releases and social media announcing our report\, to the ex tent that it became visible at the IEEE Board of Directors\, and found its way to the report of the IEEE Executive Director. One notable side-produc t that grew out of our predictions was the 2022 report that comprehensivel y predicted 23 technologies 7 years ahead. This report had a sister report written by Industrial Technology Research Institute (ITRI)\, Taiwan on te chnology predictions specific to Asia. These technology predictions surpas sed all our expectations in terms of impact\, and we plan to continue for as long as audience has interest.\n\nCo-sponsored by: George Pappas\n\nSpe aker(s): Dejan S. Milojicic\, \n\nAgenda: \n6:00 PM - Welcome and Introduc tions\, Chapter business update\; break\n6:05 PM - Technical Talk/Presenta tion\n7:10 PM - Discussion\, Q & A\n7:20 PM - Wrap Up\n\n/* ALL TIMES ARE USA EST/EDT (UTC-5) */\n\nVirtual: https://events.vtools.ieee.org/m/406535 LOCATION:Virtual: https://events.vtools.ieee.org/m/406535 ORGANIZER:sharan.kalwani@ieee.org SEQUENCE:21 SUMMARY:Technology Predictions: Art\, Science\, and Fashion URL;VALUE=URI:https://events.vtools.ieee.org/m/406535 X-ALT-DESC:Description: <br /><p>Abstract: Predicting the future is never e asy\, it always entails a degree of uncertainty\, if not luck. Predicting technology trends is even harder as it requires both technical and busines s acumen\, e.g.\, whether the technology will be developed\, productized\, and ultimately adopted on the market. It is almost an art to distill betw een a fashion and a true scientific trend. At the same time\, the public l ikes to read predictions and many individuals and organizations regularly write technology predictions\, such as Gartner\, MIT\, Forbes and many oth ers regularly produce predictions. IEEE Computer Society started its techn ology predictions informally in early 2010 and formally via annual press r eleases in 2014\, followed by their respective scorecards in 2016. We real ized that our audience appreciates self-evaluation\, hence we introduced s corecards at the end of the period of prediction. Our predictions reached substantial audience\, e.g.\, in 2018\, it was picked up by 300 media outl ets (84.6M audience)\, which is entirely different from classical publishi ng. We considered predictions as a new type of publication\, a lightweight \, short publication (approximately a paragraph per prediction). These pre dictions also triggered other media outreach\, such as blogs\, interviews\ , panel sessions\, and this special issue of IEEE Computer magazine. Over the years we became better in press releases and social media announcing o ur report\, to the extent that it became visible at the IEEE Board of Dire ctors\, and found its way to the report of the IEEE Executive Director. On e notable side-product that grew out of our predictions was the 2022 repor t that comprehensively predicted 23 technologies 7 years ahead. This repor t had a sister report written by Industrial Technology Research Institute (ITRI)\, Taiwan on technology predictions specific to Asia. These technolo gy predictions surpassed all our expectations in terms of impact\, and we plan to continue for as long as audience has interest.</p><br /><br />Agen da: <br /><p><span style="font-family: courier new\, courier\, monospace\; font-size: 12pt\;">6:00 PM - Welcome and Introductions\, Chapter business update\; break<br></span><span style="font-family: courier new\, courier\ , monospace\; font-size: 12pt\;">6:05 PM - Technical Talk/Presentation<br> </span><span style="font-family: courier new\, courier\, monospace\; font- size: 12pt\;">7:10 PM - Discussion\, Q &amp\; A<br>7</span><span style="fo nt-size: 12pt\;"><span style="font-family: courier new\, courier\, monospa ce\;">:20 PM - Wrap Up</span><span style="font-family: courier new\, couri er\, monospace\;">&nbsp\;</span></span></p>\n<p><span style="font-size: 12 pt\;"><span style="font-family: courier new\, courier\, monospace\;">/* AL L TIMES ARE <strong>USA EST/EDT (UTC-5)</strong> */</span></span></p> END:VEVENT END:VCALENDAR