Blog
Insights, tutorials, and news from the TagoIO team.
What the Model Context Protocol (MCP) Means for IoT
A complete guide to the Model Context Protocol (MCP) for IoT: what it is, why it fits IoT so well, how the request lifecycle and security model work, and how the TagoIO MCP server connects Claude, ChatGPT, and Cursor to your real device data.
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.
How to Turn IoT Data into a Demand Forecast
IoT data measures real consumption, which makes it a strong base for demand forecasting. How to build one and act on it with TagoIO.
How to Forecast Tank and Silo Levels Before They Run Out
Level sensors tell you what's left. Forecasting tells you when it runs out. How to predict tank and silo depletion and trigger refills with lead time on TagoIO.
From Reactive to Predictive: Building Forecast-Based Alerts for IoT
Threshold alerts fire after the problem starts. Forecast-based alerts fire before. How to build predictive alerting on IoT data with TagoIO.
How to Forecast Energy Consumption with IoT Data
A practical approach to forecasting energy consumption from IoT meter data: the seasonality that dominates load, the drivers to add, and how to run it 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.
How to Run Machine Learning Models on Your IoT Data with TagoIO Analysis
A practical path to running machine learning on IoT data inside TagoIO Analysis: where to train, how to serve predictions, and how to keep models fresh.
Which Forecasting Model Should You Use for IoT Time-Series Data?
ARIMA, Prophet, and LSTM compared for IoT time-series forecasting: how each works, when it fits, and how to run the winner on TagoIO.
How to Forecast IoT Sensor Data: A Practical Guide
A practical progression for forecasting IoT sensor data, from moving averages to seasonal models to machine learning, and how to run it on TagoIO.
How to Detect Anomalies in IoT Sensor Data Using AI
How to detect anomalies in IoT sensor data, from simple thresholds to statistical baselines and AI-assisted investigation. A practical progression you can build on TagoIO.
The Best IoT Platforms for System Integrators to Resell
An honest guide to the best IoT platforms system integrators can resell in 2026, how to judge them, and where a white-label model pays off. Covers open-source, hyperscaler, and managed options.