Blog
Insights, tutorials, and news from the TagoIO team.
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.
The Fastest Way to Add a New Device Type to an IoT Platform
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 from a 10-Device IoT Pilot to 1,000 Devices
Scaling from a 10-device IoT pilot to 1,000 devices breaks manual onboarding, eyeball monitoring, and hand-tuned dashboards. The four systems to replace them: provisioning, templates, automated intelligence, and fleet health.
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.
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.
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
The four shapes a sensor anomaly takes, spikes, drift, silence, and correlated failures, why fixed thresholds miss three of them, and how to build detection on TagoIO with statistical baselines, TagoAI, Analysis, and Actions.
How Teams Actually Manage 1,000+ Devices in the Field
Managing 1,000+ IoT devices in the field breaks the habits that worked for your pilot. Here is what changes, and how tag-based provisioning, templated dashboards, and fleet monitoring keep effort flat as you scale.
Which IoT Platform Is Best for Your First Deployment?
Your first IoT deployment is a learning exercise. Pick a platform for where you are going, not just where you start, using time-to-value, learning curve, migration risk, and support.