Innovation for Data Era: Power the Era of Artificial Intelligence


The explosive growth in cloud computing systems 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 will grow from today’s 4.4 zettabytes today to around 44 zettabytes or 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, artificial intelligence (AI), Machine Learning (ML) and distributed Deep-Learning (DL) provide a response to these challenges, requiring minimal investment in human resources to exploit a large amount of data in order to extract the relevant information from it with the promise of finding optimizations to unleash unknown market potential. Specifically, intelligent applications and services based on AI, ML, DL and extreme scale analytics constitute the next wave of technology and together with the burst of connected devices (Internet of Things – IoT) and the important advancements in sensor technology push current ICT infrastructures to their limits, with the latter failing quite often to host, provide and/or manage such applications efficiently or at all.

  Date and Time




  • Start time: 19 Nov 2021 09:30 PM
  • End time: 21 Nov 2021 01:30 PM
  • All times are Europe/Athens
  • Add_To_Calendar_icon Add Event to Calendar

To virtually attend this event, please register here!

  • Aristotle University’s Research Dissemination Center (KEDEA)
  • Thessaloniki, Macedonia
  • Greece 54636
  • Room Number: Hall I
  • Click here for Map

  • Event organizers:

    Prof. Kostas Siozios, Dept. of Physics, AUTH

    Prof. Alkiviadis Hatzopoulos, ECE Dept., AUTH

    Prof. Spyridon Nikolaidis, Dept. of Physics, AUTH



InnoAI_flyer Event flyer 746.08 KiB