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Today, I would like to discuss a particular aspect of designing the MQTT Topic Structure: Should we include an asset’s Physical Location in the MQTT Topic? That is a complex subject, so that I will break it down. Asset Type For consumer electronics like wearables, the location of an asset may be irrelevant or unknown. Even if the use case demands tracking position, we should not record it as a part of the MQTT Topic (devices should send the location in the payload of an MQTT Message stored in a database at the backend).

In this episode of the Internet of Things Equation, I had the pleasure of sitting down with Mark Thomas, the founder and CEO of Nextspace, a company that has been at the forefront of Digital Twin technology. During our conversation, Mark shared his insights on the benefits, challenges, and real-world applications of Digital Twins. He emphasized the critical importance of creating accurate and representative Digital Twins and discussed the pivotal role of artificial intelligence and machine learning in enhancing their capabilities.

I had an insightful conversation with Yann Douze, a senior lecturer at Sorbonne University and an expert in Embedded Systems, the Internet of Things (IoT), and Micro Electronics. We discussed his background, the evolution of the IoT curriculum, and the use of Artificial Intelligence (AI) in IoT projects. Yann shared his passion for IoT and emphasized the importance of continuous learning and curiosity in this rapidly evolving field. He highlighted his focus on hands-on projects, particularly communication technologies, low-power systems, and energy harvesting.

Introduction MQTT (Message Queuing Telemetry Transport) is a widely used communication protocol in IoT systems. I typically focus on the advantages, but there are also challenges with its implementation in real-life Internet of Things deployments. Security Lack of Encryption MQTT does not provide encryption, which is a security vulnerability. We must use additional measures such as TLS/SSL to ensure the security and confidentiality of transmitted information. Authentication and Authorization Implementing robust authentication and authorization mechanisms requires in-depth knowledge of other technologies, like X.

Introduction In this conversation with Mike Fahrion we unravel the secrets to successful IoT go-to-market strategies. We discussed the importance of customer-centric approaches, product-market fit, scalability, and the game-changing impact of AI in IoT analytics. Mike raised a crucial point: not only does the technical infrastructure need to scale, but processes within the enterprise must scale to meet variable demand. We elaborated on the risks of being a customer-driven organization and several other topics vital to running a successful IoT business.