Solutions and consulting for digitalization of industrial processes

Sponsored by: Camozzi Automation SPA

Focused on:

  • Digitalisation
  • Automation Components

Date: 7 October


Time: 2PM London/3PM CET

Turning data collected through IIoT components and solutions into highly valued information

Manufacturing companies are always looking for improved efficiency, keeping their assets operational and reducing energy consumption. System integration and lack of clear ROI are considered the biggest challenge to implementing new technology and development of a connected manufacturing strategy.

This webinar will be focused on how automation components could facilitate OEMs in building smarter machine. Camozzi smart components will be taken as example. They are equipped with a new technology which allows continuous monitoring of their operation and prevents possible malfunctions. All data coming from these components can be sent to the cloud, aggregated and used to check the operational efficiency of the component in a dashboard.
The second part will explain how to implement a cloud platforms to collect process digital engineering data and services to manage production and remote maintenance in a smart way.

This webinar will show how to integrate automation components into a network and turn the data collected through IIoT solutions into highly valued information.

Presented by

Cristian Locatelli,

General Manager, Camozzi Digital

From the very beginning of his career, Cristian has worked as an automation designer in the fields of machine tools, cement production plants, and the textile machinery sector. He has a degree in Electronic Engineering and twenty years' experience in the industrial automation of machinery and plants

Janos Hungar,

International Area Manager, Camozzi Automation

Janos Hungar is currently International Area Manager of Camozzi Automation.
He is experienced as project leader on new products development. He has a long experience as product manager for Camozzi pneumatics automation product lines

Key Learning Objectives

  • Remote and predictive maintenance solutions
  • New business model in the Industry 4.0 era
  • Industrial IoT network infrastructure


  • Heads of Research and Development
  • CEO
  • CTO
  • CIO
  • Project Managers
  • Service/Maintenance Manager
  • Innovation Managers
  • Purchasing