Transition from Industry 4.0 to Industry 5.0, in which the human being returns to the center of technological development. Diving into why data, AI and IoT can create real progress only when they are designed around people, processes, trust and meaningful adoption. Including humanoid robots as one of the most visible examples of how advanced technologies are entering real working environments and why communication, understanding and human-centered implementation are crucial when introducing them into companies and society.

Every connected product needs four things to work: hardware, firmware, a cloud backend and a user interface. The hard parts are rarely the idea itself, they are the radio design, the certifications (CE, FCC, CRA and more), scaling to volume and managing devices once they are in the field. This talk breaks down where the real complexity and cost sit in a custom IoT project, then shows how the Walter and Walter Cat 1 bis modules fold the hardware, radio and connectivity problem into a single certified module. It continues with how the BlueCherry platform turns CRA compliance, device ownership, OTA updates and vulnerability management from a multi-year headache into a built-in feature. And because Walter is a certified off-the-shelf module, none of this depends on committing to high production volumes, so even small runs and one-off custom products become viable.

Industrial experience in which we improve inventory and plant production control through the capture, analysis, visualization, and communication of data from the machine level to IT systems.

LPWAN technologies are a tool of choice for monitoring critical infrastructure. But in remote Swiss alpine areas, every site brings its own constraints, and no single connectivity fits them all. You adapt to the terrain and the specifics of each location. That's why pairing LoRaWAN and NB-IoT is a winning combination.

Utility infrastructure is often out of sight and possibly out of reach as well. Although many parts of geothermal, district heating and water systems have been monitored well for a long time, parts of the systems have lacked real time monitoring. Critical monitoring has been manual on site, that requires manpower, travelling and use of resources. IoT not only supplies the utilities with actionable data but also has a severe impact on the use of resources. Presenting deployments in Iceland, we share our experience in pressure monitoring in hot water distribution networks, including monitoring of critical supply pipes, filtration systems and key points across the grid. We will highlight how LoRaWAN connectivity has enabled reliable data collection in challenging environments and conditions, as well as the challenges we have faced.

As IoT deployments scale into safety-critical environments (industrial automation, connected vehicles, smart infrastructure) securing these systems demands more than monitoring network traffic. Physical-layer threats such as sensor manipulation, actuator tampering or anomalous timing behaviour often go undetected by conventional network-focused intrusion detection systems. ITI researches the intersection of Edge AI and cyber-physical security, developing lightweight AI models for resource-constrained embedded devices that enable autonomous, low-latency threat detection at the edge without cloud reliance. The talk covers the convergence of Edge AI and CPS security, the demand for holistic cyber-physical intrusion detection in IIoT, and the role of the EU Cyber Resilience Act as a market driver.

Most IoT teams optimise sleep modes, duty cycles, and radio settings to extend battery life. But the single biggest energy drain on a LoRaWAN or NB-IoT device is the transceiver and nobody talks about what you're actually sending through it. In this talk, I share how we validated up to 84% lossless payload reduction on a production sensor platform with a major IoT manufacturer cutting transmissions in half and extending battery life from 9 to 17+ years. No hardware change, no new radio, just smarter data at the firmware level. I'll cover the real-world integration challenges we faced (f32 precision, prediction model sync, heap constraints on 4KB MCUs), the honest benchmarks (what works, what doesn't, and where compression hits diminishing returns), and why structural intelligence on top of sensor data opens a new category of proactive monitoring. Whether you build sensors, deploy fleets, or manage platforms this talk will change how you think about what your devices transmit.

Cloud-dependent IoT systems face growing challenges related to latency, bandwidth, energy consumption, and data privacy as deployments scale across industry, utilities, and logistics. This talk explores how TinyML, running machine learning directly on small, low-power devices, enables intelligent monitoring at the edge without constant cloud connectivity. Through practical examples, the session shows how this approach reduces latency, lowers communication costs, improves energy efficiency, and strengthens data privacy. Attendees will gain a practical understanding of the opportunities, challenges, and real-world value of building edge AI into next-generation IoT monitoring.

Valencia is already full of sensors (traffic, air quality, bikes, trees) but most of that data stays invisible to the people living there. This talk shows what happens when you take those sensors that are already scattered across the city, open up the API, and turn them into a single live layer that anyone can look at, not just city departments or specialists.

Large-scale LoRaWAN deployments face increasing operational complexity as gateway fleets grow to thousands of devices. While gathering data is an important part of the solution, it is not sufficient on its own. Engineers struggle to quickly diagnose the root causes of gateway incidents amid a flood of metrics, logs, and system events. AI can help transform this overwhelming data into clear, actionable troubleshooting insights.

For years, eSIM has promised to simplify global IoT connectivity, but adoption has been slower than many expected. The arrival of the new SGP.32 specification could change that by introducing a framework designed specifically for IoT devices. This presentation will examine how eSIMs can benefit enterprises, how SGP.32 addresses longstanding barriers to adoption and how it will disrupt the IoT value chain.

As connected devices mature from telemetry endpoints into intelligent, autonomous systems, a new paradigm is emerging: Physical AI, where AI actively operates within the physical world. In this session, Dimitrios Spiliopoulos will speak about Physical AI as the natural evolution of IoT and how AWS and partners are helping customers build the new generation of machines with multi-modal physical intelligence.

Technology moves fast. Teams don't always keep up — not because they lack talent, but because the system around them isn't clear. David Baldoví, industrial engineer, founder of Brandsummit and creator of Do it Clear, shares how a simple principle — clarity before speed — transformed the way his studio works, and why the same logic applies to any team navigating complexity, deadlines and digital transformation. A practical talk on culture, leadership and the kind of clarity that makes teams actually work.