How artificial intelligence and digital transformation will change the future of work  | UNIVPM/UNIMC Online Webinar 30/11, 10:00  a.m.

How artificial intelligence and digital transformation will change the future of work | UNIVPM/UNIMC Online Webinar 30/11, 10:00 a.m.

 

How artificial intelligence and digital transformation will change the future of work?

Digital tools, AI and machine learning are already changing the way we work, and the future will see other big changes. AI could also create more jobs and help us recruit candidates as long as people are willing to adapt and work smarter.

On November, 30th we’d like to invite you all to the webinar run by professor Emanuele Frontoni from UNIVPM who will give an overview of the AI area and its applications, showing different examples of how new technologies are reshaping our life and our way of working. The activity will be in English. To join the event, you can access the following link: https://zoom.us/j/7981734078

Date and Time

30 November 2020

10.00 - 11.00 AM (CET)

Link to connect:

https://zoom.us/j/7981734078

Speaker:

 

Prof. Emanuele Frontoni

Emanuele Frontoni is Professor Computer Vision and Deep Learning at the Department of Information Engineering (DII) of the Università Politecnica delle Marche, Ancona - Italy. His research activity is focused in the field of Computer Vision and Artificial Intelligence with applications in big data, a novel distributed data architectures video analysis and human behaviour analysis. He is also involved in several AI projects in the field of health data interoperability, cloud-based deep learning technologies and big data analysis. He coordinated and participated in several industrial R&D projects in collaboration with ICT and mechatronics companies in the field of Industry 4.0 and Robotic Vision.

He is an expert for EU Commission in H2020 project evaluations and is currently involved in 2 ongoing

EU projects (DWC and ROSIN sub-call). He is a member of the European Association for Artificial Intelligence, of the European AI Alliance and of the International Association for Pattern Recognition.

 

Addressed to: 

  • Teachers

Focus: 

  • Pedagogical Methods
  • Field Specific: cultural heritage and tourism; place branding; citizen engagement.

 

The European Commission support for the production of this publication does not constitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be  held responsible for any use which may be made of the information contained therein.