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DTSTART:20240310T030000
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DTSTAMP:20240822T172528Z
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DTSTART;TZID=America/Chicago:20240903T120000
DTEND;TZID=America/Chicago:20240903T130000
DESCRIPTION:As the world is generating zettabytes of Data\, IEEE has launch
 ed new projects emanating from the\nIEEE/TA Data Strategy Ad Hoc committee
 . These new projects leverage IEEE’s Data to create value for\ncustomers
  worldwide. They also offer opportunities for researchers and industries t
 o share data in\norder to accelerate development cycles. The first is a pr
 oduct called IEEE DataPort\, a searchable\nrepository of research Data. Th
 e Data can be linked to the author’s IEEE publication and anyone can\nup
 load Datasets. The Datasets get screened for the metadata and Quality and 
 are assigned a DOI\n(Digital Object Identifier). IEEE DataPort has a broad
  spectrum of users numbering over 8.5 million\nand is adding 20\,000 every
  day. The second is an Artificial Intelligence/Machine Learning based\ncom
 bination Search and Knowledge engine. It uses NLP (Natural Language Proces
 sing) and RAG\n(Retrieval Augmented Generation) artificial intelligence. 
 “AskIEEE” is a pilot that allows users to ask\nquestions in their own 
 format and gets answers based on IEEE information that has been ingested\n
 into the engine. This talk will present capabilities and successes of thes
 e first two efforts and discuss\nopportunities to expand the reach to memb
 ers and researchers worldwide.\n\nSpeaker(s): Rakesh Kumar\, \n\nVirtual: 
 https://events.vtools.ieee.org/m/431378
LOCATION:Virtual: https://events.vtools.ieee.org/m/431378
ORGANIZER:a2depoian@gmail.com
SEQUENCE:16
SUMMARY:IEEE Region 4 and 5 Ask-Me-Anything: IEEE’s Data-based Strategy
URL;VALUE=URI:https://events.vtools.ieee.org/m/431378
X-ALT-DESC:Description: <br /><p>As the world is generating zettabytes of D
 ata\, IEEE has launched new projects emanating from the<br>IEEE/TA Data St
 rategy Ad Hoc committee. These new projects leverage IEEE&rsquo\;s Data to
  create value for<br>customers worldwide. They also offer opportunities fo
 r researchers and industries to share data in<br>order to accelerate devel
 opment cycles. The first is a product called IEEE DataPort\, a searchable<
 br>repository of research Data. The Data can be linked to the author&rsquo
 \;s IEEE publication and anyone can<br>upload Datasets. The Datasets get s
 creened for the metadata and Quality and are assigned a DOI<br>(Digital Ob
 ject Identifier). IEEE DataPort has a broad spectrum of users numbering ov
 er 8.5 million<br>and is adding 20\,000 every day. The second is an Artifi
 cial Intelligence/Machine Learning based<br>combination Search and Knowled
 ge engine. It uses NLP (Natural Language Processing) and RAG<br>(Retrieval
  Augmented Generation) artificial intelligence. &ldquo\;AskIEEE&rdquo\; is
  a pilot that allows users to ask<br>questions in their own format and get
 s answers based on IEEE information that has been ingested<br>into the eng
 ine. This talk will present capabilities and successes of these first two 
 efforts and discuss<br>opportunities to expand the reach to members and re
 searchers worldwide.</p>
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