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

Model and Visualize Digital Twins using AWS Twinmaker

Built an end-to-end solution that demonstrates the implementation of Digital Twins using AWS Twinmaker. Simulated OPCUA Server Data, AWS IOT Sitewise Gateway which is deployed at the edge does the protocol translation and sends this data to the cloud. AWS IOT Sitewise is used to create the Models and Assets for this ingested data. AWS Twinmaker is then used to create the Entities, Components, Resources and Scenes for the Digital Twin (which also includes the 3D model of the Digital Twin). Amazon managed Grafana is used to visualize the AWS Twinmaker Digital Twin data in the form of graphs and also to visualize the 3D models along with the real time data which is refreshed every 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.