When AI meets 5G: Predictive Maintenance on the Edge

by Giorgio Meda, Golboo Pourabdollahian, Fabio Contursi

 AI/Machine Learning • Italian
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Topic
AI/Machine Learning
Language
Italian
Description

Nell’epoca del “Real-Time”, 5G e AI on the Edge permettono di attivare scenari di risposta immediata, superando problemi di lentezza di azione e comprensione del problema. Esploreremo un caso reale in un ecosistema IoT, accelerato dalla tecnologie cloud e hybrid di Microsoft Azure. In una pipline industriale vedremo la prevenzione di un malfunzionamento e assistenza nella riparazione sfruttando gli algoritmi containerizzati on the edge e device di augmented Reality.

Giorgio Meda
Business Intelligence Consultant, Capgemini

I have been working as a business intelligence consultant in Capgemini, using mostly Microsoft Azure technologies and following my interests in digital innovation applied for supporting business. Before joining Capgemini I graduated at Politecnico di Milano in Management Engineering.

Golboo Pourabdollahian
Senior Consultant for Digital Transformation, Capgemini

Golboo Pourabdollahian is a senior consultant in Future of Technology with 8+ years of experience in both Industry and Research in particular in manufacturing sector. She received her PhD in Management, Economics and Industrial Engineering from Politecnico di Milano. She has worked extensively on business model innovation, strategic roadmapping and digital transformation. She is managing the 5G offering initiative in Capgemini Italia.

Fabio Contursi
Cloud Solution Architect, Capgemini

Bachelor degree in Information Technology (Software Engineer) with particular interest in emerging technologies and innovations in various fields of computing such as IoT and ML.

Since 2017 he had the opportunity to work such as Cloud Solution Architect with a background of System Engineer. He has worked on different markets: banking, energy, consumer product, Telecoms in different environments such as CRM, unified communication, Big Data, ERP and Digital Service.

Its main objective is to boost the cloud architectures to improve the quality, integration and apply the new technologies.