Latest
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Designing Sequential Multi-Agent Pipelines with Microsoft Foundry
Multi-agent systems are increasingly built as structured workflows rather than single autonomous agents. This article explores a sequential multi-agent pipeline built with Microsoft Foundry, where specialized agents collaborate to validate marketing content using Azure AI Search, MCP tools, and CI/CD deployment patterns designed for production-ready AI systems. Read more
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Optimizing AI Agents for Scale: Triage, Throttle Control, and Model Right-Sizing
FleetMind, an autonomous trucking platform, utilizes Microsoft Foundry to manage telemetry from fleets. At scale, invoking LLM reasoning for every event turned routine signals into… Read more
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From Chatbots to Autonomous Agents: Building an Always-On Risk Platform
The article discusses the evolution of generative AI towards fully autonomous systems capable of continuous decision-making without human prompts. It highlights an autonomous risk platform… Read more
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Deploying MCP Servers with Azure Container Apps
In this article, we explore how to deploy and run multiple Model Context Protocol (MCP) servers using Azure Container Apps. We’ll demonstrate how to enable… Read more
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The Perfect AI Team: Azure Cosmos DB and Azure App Service
AI advancements are impressive, and their true impact emerges when seamlessly integrated into business processes. Azure Cosmos DB and Azure App Service create the perfect… Read more
Curated Materials
Issue 1 – June 2024
This guide provides essential tips and best practices for managing and optimizing partitioning in Azure Cosmos DB.
Guided Journey – July 2024
Azure Machine Learning
This guide provides a comprehensive walkthrough for using Azure Machine
Learning to build a classification model based on risk data pulled from Azure.
Archives
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Getting Started with Weaviate: Setting Up and Securing Your Instance with Docker Compose, Nginx, and Let’s Encrypt
The article provides a detailed guide on how to set up Weaviate, an open-source vector database, using Docker Compose. It further explains securing the setup with Nginx and Let’s Encrypt. The post emphasizes data security and efficient data management. It outlines the roles of crucial components and provides a step-by-step approach for implementation, starting from… Read more
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Spam Detection with Azure Automated ML
Learn to leverage Azure Machine Learning to build a Spam classification model. We will be covering resource creation, dataset downloading, model training, and deployment—offering a comprehensive end-to-end process for efficient Spam identification and removal. Read more
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Using Azure Open Datasets with Databricks
Azure Open Datasets offer easy access to curated public datasets for data & AI projects. This post shows how to use Azure Open Datasets with Databricks to load a NOAA weather dataset. It also explains setting up Databricks and creating a cluster. Read more
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Real-Time Air Quality Monitoring with Azure IoT Hub
This post emphasizes leveraging Azure IoT Hub for real-time air quality monitoring. It includes device management details, hardware components, Arduino IDE set-up, Azure configuration, and Power BI visualization instructions. Read more
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Using Azure Notebook Workflows to Ingest NOAA Weather Data.
The post discusses using Azure Databricks and Power BI to analyze weather data for various applications like manufacturing, energy, and agriculture. Read more
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Building & Connecting IoT to Azure Event Hubs with HTTP
This content introduces IoT with the NodeMCU, detailing its setup, connecting to Azure Event Hubs, and generating SAS tokens for authentication. It outlines the Arduino code and ends with future data processing options in Azure Event Hubs. Read more
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Python Image Processing on Azure Databricks – Part 3, Text Recognition
In conclusion, the series explores using Azure Cognitive Services Computer Vision to recognize text on images, providing code and steps for implementation. Read more
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Python Image Processing on Azure Databricks – Part 2, Image Search API
Use Azure Cognitive Services Bing Search to enable dynamic image capture from the web in Part 2 of this blog series – Image Processing on Azure Databricks. Read more
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Python Image Processing on Azure Databricks – Part 1, OpenCV Image Compare
This article explores using Azure Databricks and Python OpenCV for comparing image SSIM scores, offering insights into image analysis. Read more
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Adding Hbase Interpreter to Zeppelin (Hortonworks)
Setting up Hbase interpreter on Zeppelin in Hortonworks, encountering and solving issues. Read more
Stochastic Coder 