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
AI Powered Industrial AI Agent Industrial AI agent with RAG capability Multi-Agent Industrial AI System using A2A Protocol Anomaly Detection & Predictive Maintenance using AWS Lookout for Equipment Machine Failure Prediction using Azure Machine Learning Prediction using Azure ML & Visualization using Microsoft Fabric 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
About

AI Powered Industrial AI Agent

The Industrial Agent can make intelligent decisions about batch production in industrial plants. Instead of manually checking raw materials, equipment status, and recipe requirements, this industrial agent automates the entire decision-making process using natural language queries. The agent which is implemented using Python and LangChain, connects to real-time industrial OPCUA data. The AI Agent queries product recipes from the Postgres database. It uses Mistral LLM running locally on Ollama to orchestrate the data gathering and decision-making and provides a clear go/no-go decision with detailed reasoning and responds to the natural language queries.

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.