# Blog - Page 2 | TagoIO

> Insights, tutorials, and news from the TagoIO team.

Insights, tutorials, and news from the TagoIO team.

- [Climbing the Fusion Ladder](https://tago.io/blog/climbing-the-fusion-ladder.md): 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?](https://tago.io/blog/iot-platform-partner-programs-system-integrators.md): 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](https://tago.io/blog/use-ai-assistant-query-live-iot-device-data.md): 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](https://tago.io/blog/sla-reselling-iot-platform.md): 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](https://tago.io/blog/analytics-models-for-iot.md): 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](https://tago.io/blog/from-location-to-intelligence-cargo-anomaly-detection.md): 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](https://tago.io/blog/handle-iot-platform-downtime-managed-service.md): 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](https://tago.io/blog/evaluate-data-residency-iot-platform.md): 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.
- [What a Good IoT Dashboard for Facility Management Actually Looks Like](https://tago.io/blog/iot-dashboard-facility-management.md): 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.
- [The Fastest Way to Add a New Device Type to an IoT Platform](https://tago.io/blog/fastest-way-add-new-device-type-iot-platform.md): The fastest path to adding a new device type to an IoT platform: check the connector library first, then decoder, template, and test, in under an hour for supported hardware and under a day for anything else.
- [How to Scale Your IoT System Integrator Business Beyond 10 Customers](https://tago.io/blog/scale-iot-integrator-business-beyond-10-customers.md): Ten customers is where IoT system integrator growth stalls: founder-led delivery, custom everything, and manual monitoring stop scaling. The operating model that gets past it: templates, tiers, automation, and intelligence.
- [Open Source vs Managed IoT Platforms: What the Difference Really Costs](https://tago.io/blog/open-source-vs-managed-iot-platforms.md): 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.

[llms.txt](https://tago.io/llms.txt)