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Insights, tutorials, and news from the TagoIO team.
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IoT Data Visualization: From Dashboards to the Mobile App
How to structure IoT data visualization for a fleet: custom dashboards built once with Blueprint, Custom Widgets for missing charts, and a branded mobile app.
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.
Which IoT Platforms Have the Best Partner Programs for System Integrators?
What separates a real IoT partner program from a badge and a discount code: margin structure, deal registration, sandbox access that holds a production-shaped pilot, and the questions that expose the difference before you sign.
How to Use an AI Assistant to Query Live IoT Device Data
A step-by-step walkthrough for querying live IoT device data with an AI assistant: opening TagoAI where the question lives, asking with specifics, checking the basis of every number, and raising the permission only when you want it to act.
What to Include in an SLA When Reselling an IoT Platform
What a reseller SLA actually needs: the pass-through rule, a real uptime definition, durability separated from availability, support tiers you can hit, exit terms, and clause patterns you can hand to a lawyer.
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.
From Location to Intelligence: Catching What Happens to Your Cargo
A tracker sealed in a steel container cannot hold a GPS fix. Temperature, light, and motion still can. How to reconstruct a shipment, forecast an ETA, and flag fraud from condition data.
How to Handle IoT Platform Downtime as a Managed Service Provider
How managed service providers handle IoT platform downtime: detection before customers notice, honest communication, buffering at the edge, and the post-incident routine that turns outages into renewals.
How to Evaluate Data Residency Options in an IoT Platform
How to evaluate data residency in an IoT platform: what residency does and does not mean, the five questions that expose weak answers, and how region choice decides which customers you can serve.