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An advanced Data Architecture for Manufacturing 4.0

Leveraging A.I., IoT and Stream Processing to enable the Smart Manufacturing paradigm

On June 3rd we hosted our webinar “An advanced Data Architecture for Manufacturing 4.0” in collaboration with our Partner Radicalbit.

During the event, attendees had the chance to learn more about the potential of the combination of A.I., IIoT and Stream Processing: a perfect blend of cutting-edge technologies that can enable the Smart Manufacturing paradigm, allowing companies to forecast in run-time production behavior, predict instantly economic and timing impacts, analyze good functioning of the equipment and, last but not least, have the predictive maintenance status in (near) real-time.

More specifically, attendees discovered how it is possible to transform data into information as quickly as possible and interpret it correctly thanks to RNA, a DataOps & MLOps enterprise-grade end-to-end platform designed to combine streaming event analysis and A.I., simplifying and accelerating developments in Advanced Analytics projects and Machine Learning enabled Decision Support Systems.

With the adoption of these cutting-edge technologies, companies in the Manufacturing industry can become more efficient, less resource consuming, services oriented (instead of merely product oriented), fast adaptable to business needs, and act autonomously leveraging human interaction.

Thanks to Roberto Mariotti (Technical Presales Manager at Radicalbit), Davide Fiacconi (Data Scientist at Radicalbit) and Cosma Rizzi (International Business Development at Bitrock) for sharing with us all your expertise in the field, and giving useful insights on the main challenges and trend topics of Manufacturing 4.0.

If you didn’t have the chance to attend the webinar live, or if you want to go back through the slides that were shown, you can access the presentation at the following link:

If you want to access the webinar recording, or simply know more about RNA and Bitrock technology offering, send an email to

Davide Fiacconi, Data Scientist

Roberto Mariotti, Technical Presales Manager

Cosma Rizzi, International Business Development Manager

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