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MQTT Standards for Integrating Edge AI Systems

60 minutes

Watch the Webinar

Webinar Overview

As industrial companies adopt MQTT as a key part of their digital transformation strategy, many are looking to shift AI data processing closer to production systems on the factory-floor — known as Edge AI. Yet, until now there has been no clear standard for integrating AI-generated predictions and insights from data sources into MQTT-backed environments.

In this webinar, we’ll present standards for the reliable and adaptable integration of Edge AI with MQTT frameworks, including the Flat MQTT and Sparkplug B specification. Join Kudzai Manditereza and Magnus McCune of HiveMQ, along with Marc Pous of Balena for this forward-looking webinar.

  • Learn why the MQTT standard for Edge AI was developed, the common patterns, and how they work

  • View a live demonstration of the “unstructured data” and “fully integrated” patterns for Edge AI data integration with MQTT

Don't miss this opportunity to gain valuable insights into optimizing your Edge AI deployments with MQTT standards.

Kudzai Manditereza

Kudzai is a tech influencer and electronic engineer based in Germany. As a Developer Advocate at HiveMQ, he helps developers and architects adopt MQTT and HiveMQ for their IIoT projects. Kudzai runs a popular YouTube channel focused on IIoT and Smart Manufacturing technologies and he has been recognized as one of the Top 100 global influencers talking about Industry 4.0 online.

  • Kudzai Manditereza on LinkedIn
  • Contact Kudzai Manditereza via e-mail

Marc Pous

Marc Pous is an IoT Giant & Developer Advocate based in Barcelona, Spain. He is currently the Developer Advocate at He was previously co-founder of the IoT platform thethings.iO startup. He has accumulated over 15 years of experience connecting things to the Internet.

  •  Marc Pous on LinkedIn

Magnus McCune

Magnus is a Senior IoT Solutions Architect on the Professional Services team at HiveMQ. He is a passionate technologist with a proven background solving complex business and technical challenges through the design, implementation and operationalization of cloud and edge technologies. His expertise extends to network, cloud, & infrastructure architecture, cloud-native solutions design and large-scale automation projects.

  • Magnus McCune on LinkedIn

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