About Internet of Things with Fexingo: Connected Devices, Sensors, and Industrial IoT
Lucas and Luna examine the practical realities of the Internet of Things, from sensor calibration to industrial mesh networks. Each episode grounds a specific IoT domain—smart agriculture, predictive maintenance, connected logistics—in measurable outcomes: cost per node, data throughput, failure rates. They discuss why some deployments succeed while others stall, referencing case studies like a factory floor retrofit in Stuttgart or a city-wide air quality network in Bengaluru. The conversation stays close to engineering constraints—power budgets, latency requirements, security patches—never drifting into abstract promises. Lucas often presses on vendor lock-in and protocol fragmentation; Luna pushes back with real-world interoperability examples. This show serves engineers, product managers, and strategists who need sober assessments of what connected devices actually deliver. By the end of an episode, you will understand why one smart building project cut energy use by 18% while another never left the pilot phase.
#InternetOfThings #IndustrialIoT #ConnectedDevices #SensorNetworks #SmartCities #PredictiveMaintenance #IoTEngineering #LoRaWAN #EdgeComputing #M2M #Technology #Business #FexingoBusiness #BusinessPodcast #TechPodcast #IIoT #SmartAgriculture #IoTProtocols
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Most industrial IoT deployments fail not because the sensors are inaccurate, but because they cannot survive on battery power for more than a few months. This episode examines the specific energy economics behind connected devices in remote industrial settings, focusing on how ultra-low-power design choices impact total cost of ownership. We break down the math of sleep cycles versus transmission bursts using a concrete case study from agricultural monitoring, revealing why most engineers overlook the power budget until it is too late.
#IndustrialIoT #EnergyEfficiency #SensorNetworks #BatteryLife #LowPowerDesign #SmartAgriculture #FexingoBusiness #BusinessPodcast #TechEconomics #OperationalCosts #EmbeddedSystems #WirelessProtocols #SustainabilityInTech #EngineeringDecisions #DataTransmission #RemoteMonitoring #HardwareLifecycle #LucasAndLuna
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13 Oct 2026
The IoT Data Gravity Problem in Industrial Systems
Most industrial IoT deployments fail not because the sensors break, but because the data architecture collapses under its own weight. We examine why the shift from simple monitoring to predictive analytics creates a storage and processing bottleneck that many factories ignore until it’s too late. Using the example of a mid-sized manufacturing plant that struggled with edge computing latency, we explore how companies are redesigning their data pipelines to handle the sheer volume of connected devices without burning through their IT budgets.
#IndustrialIoT #EdgeComputing #DataArchitecture #SmartManufacturing #SensorData #LatencyIssues #CloudStorage #TechInfrastructure #FexingoBusiness #BusinessPodcast #IoTStrategy #DigitalTransformation #MachineLearning #ITBudgets #FactoryAutomation #DataGravity #LucasAndLuna #TechTrends2026
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11 Oct 2026
How Industrial IoT Saves Millions in Energy Waste
We explore the hidden energy tax of poorly calibrated industrial sensors and how one specific retrofit at a mid-sized manufacturing plant cut waste by thirty percent. Lucas and Luna break down the economics of sensor drift, the cost of ignoring calibration cycles, and why your smart factory might be leaking money through its own data infrastructure. This is a deep dive into the operational inefficiencies that standard audits miss.
#IndustrialIoT #EnergyEfficiency #SensorCalibration #ManufacturingTech #OperationalExcellence #SmartFactory #DataAccuracy #CostReduction #FexingoBusiness #BusinessPodcast #TechnologyTrends #EngineeringInsights #PlantManagement #SustainabilityGoals #AssetPerformance #DigitalTransformation #ProcessOptimization #LucasAndLuna
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