Industrial IoT, AI & Azure/AWS IoT Specialist

Offerings
Industrial IoT Demos
Visualize OPCUA Data using AWS IoT Sitewise Visualize OPCUA Data using Kepware & AWS IoT Sitewise Visualize OPCUA Data using Ignition & AWS Timestream Digital Twin Modelling & Visualization of OPCUA Data using AWS Twinmaker Visualize Telemetry Data from Multiple Edge Gateways using Fabric Visualize OPCUA Data using Kepware & Microsoft Fabric Visualize OPCUA Data using Azure IoT Edge & Microsoft Fabric Digital Twin Modelling & Visualization using Azure Visualize OPCUA Data using Ignition
Artificial Intelligence Demos
Anomaly Detection & Predictive Maintenance using AWS Lookout for Equipment Machine Failure Prediction using Azure Machine Learning Prediction using Azure ML & Visualization using Microsoft Fabric Copilot for Custom data using Azure OpenAI Image Anaysis using Azure AI Vision Translate Speech & Text using Azure AI Document Intelligence using Azure AI OpenAI Canvas App using Microsoft Power Apps
Other (Misc) Demos
Visualize Telemetry Data using Azure Event Streams, Lakehouse & Power BI Visualize Telemetry Data using AWS IoT & Grafana Visualize Telemetry Data using Azure Web App Visualize Telemetry Data using Azure Stream Analytics & Power BI Lakehouse Solution using Microsoft Fabric Model Driven App Solutions using Microsoft Power Apps
About

Visualize Telemetry Data using Amazon AWS IoT and Grafana

Telemetry data is simulated using Python code in JSON format and the arrival of this data in the cloud is verified by subscribing to the MQTT topic in AWS IoT. AWS IoT Timestream is then used to ingest and store the telemetry data in a database and table. Grafana is used to visualize the telemetry data in a dashboard using varied components such as Timeseries, Guages, Bar Charts etc. Amazon managed Grafana can display this data on a dashboard with a refresh rate of 5s.

NOTE: The below demo video is hosted on YouTube and incase you are unable to view this demo video then access has to be specifically provided.