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DTSTAMP:20230114T170224Z
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DTSTART;TZID=Europe/Athens:20211119T213000
DTEND;TZID=Europe/Athens:20211121T133000
DESCRIPTION:The explosive growth in cloud computing systems has permitted t
 he design and realization of novel digital services. This growth has rippl
 e effects\, such as significant data growth: by 2020\, about 1.7 megabytes
  of new information will be created every second for every person on the p
 lanet and the accumulated digital universe of data will grow from today’
 s 4.4 zettabytes today to around 44 zettabytes or 44 trillion gigabytes. M
 eanwhile\, internet-connected things are growing rapidly in number as well
 . Within this context\, new opportunities arise from the wealth of data ge
 nerated\, processed\, and stored. In a sense\, artificial intelligence (AI
 )\, Machine Learning (ML) and distributed Deep-Learning (DL) provide a res
 ponse to these challenges\, requiring minimal investment in human resource
 s to exploit a large amount of data in order to extract the relevant infor
 mation from it with the promise of finding optimizations to unleash unknow
 n market potential. Specifically\, intelligent applications and services b
 ased on AI\, ML\, DL and extreme scale analytics constitute the next wave 
 of technology and together with the burst of connected devices (Internet o
 f Things – IoT) and the important advancements in sensor technology push
  current ICT infrastructures to their limits\, with the latter failing qui
 te often to host\, provide and/or manage such applications efficiently or 
 at all.\n\nRoom: Hall I\, Aristotle University’s Research Dissemination 
 Center (KEDEA) \, Thessaloniki\, Macedonia\, Greece\, 54636\, Virtual: htt
 ps://events.vtools.ieee.org/m/289161
LOCATION:Room: Hall I\, Aristotle University’s Research Dissemination Cen
 ter (KEDEA) \, Thessaloniki\, Macedonia\, Greece\, 54636\, Virtual: https:
 //events.vtools.ieee.org/m/289161
ORGANIZER:vpavlid@ece.auth.gr
SEQUENCE:6
SUMMARY:Innovation for Data Era: Power the Era of Artificial Intelligence
URL;VALUE=URI:https://events.vtools.ieee.org/m/289161
X-ALT-DESC:Description: <br /><p>The explosive growth in cloud computing sy
 stems has permitted the design and realization of novel digital services. 
 This growth has ripple effects\, such as significant data growth: by 2020\
 , about 1.7 megabytes of new information will be created every second for 
 every person on the planet and the accumulated digital universe of data wi
 ll grow from today&rsquo\;s 4.4 zettabytes today to around 44 zettabytes o
 r 44 trillion gigabytes. Meanwhile\, internet-connected things are growing
  rapidly in number as well. Within this context\, new opportunities arise 
 from the wealth of data generated\, processed\, and stored. In a sense\, a
 rtificial intelligence (AI)\, Machine Learning (ML) and distributed Deep-L
 earning (DL) provide a response to these challenges\, requiring minimal in
 vestment in human resources to exploit a large amount of data in order to 
 extract the relevant information from it with the promise of finding optim
 izations to unleash unknown market potential. Specifically\, intelligent a
 pplications and services based on AI\, ML\, DL and extreme scale analytics
  constitute the next wave of technology and together with the burst of con
 nected devices (Internet of Things &ndash\; IoT) and the important advance
 ments in sensor technology push current ICT infrastructures to their limit
 s\, with the latter failing quite often to host\, provide and/or manage su
 ch applications efficiently or at all.</p>
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