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Insights, tutorials, and news from the TagoIO team.
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What a Real IoT Deployment Looks Like From Start to Finish
One generic deployment, 40 cold rooms across 6 sites, walked through every phase in dependency order with realistic durations and where the time actually goes.
Senzemo Sensors and TagoIO: From First Uplink to a Full Application
Senzemo Senstick LoRaWAN sensors now have ready-made TagoIO connectors. See real use cases for microclimate, rain, soil, food safety, and compost monitoring, and how TagoAI and Analytics turn the data into applications and predictions.
TagoAI Explained: The AI Assistant Built Into Your IoT Platform
TagoAI is the AI assistant built into TagoIO, grounded in your real devices and data. Where it runs, what it does in a session, the three modes you pick from, and how to point it at your own AI provider.
What Makes a Moat in IoT
Hardware executives can name all of their competitors and none of their moat. What defends an IoT business, what does not, and why AI belongs in the second list.
Climbing the Fusion Ladder
After 25 years working with hardware companies, the pattern is hard to miss: the best machine no longer wins. The machine that learns does.
Analytics Models for IoT: From Dashboards to Predictions You Can Act On
How analytics models turn IoT sensor data into forecasts, anomaly scores, and time-to-threshold estimates: the four-step pipeline, which model family answers which question, why a fitted model beats an LLM at scoring telemetry, and what the research says about the payoff.
What a Good IoT Dashboard for Facility Management Actually Looks Like
What a good facility management IoT dashboard actually contains: the four views that matter, why layout follows the building, and why the best facility UIs now lead with forecasts and flagged anomalies instead of raw charts.
Open Source vs Managed IoT Platforms: What the Difference Really Costs
Open source IoT platforms trade license fees for operations: hosting, patching, scaling, and building the analytics layer yourself. What each model really includes, what each really costs, and how to choose honestly.
LoRaWAN Network Server vs IoT Application Platform: What Each Actually Does
A LoRaWAN network server moves packets; an IoT application platform turns them into dashboards, alerts, forecasts, and applications. What each layer does, why you need both, and how they connect.
What Is Predictive Analytics for IoT, and How Do You Get Started?
A plain guide to predictive analytics for IoT: what it means, where it pays off, the honest requirements, and a first project you can ship on TagoIO.
Anomaly Detection vs Forecasting: Which Does Your IoT Project Need?
Anomaly detection and forecasting solve different IoT problems. How to tell them apart, when you need each, and how they work together on TagoIO.
How Much Historical Data Do You Need to Forecast IoT Metrics?
How much historical IoT data a forecast really needs: the rule tied to your seasonal cycle, why more is not always better, and how to start before you have years of it.