Author: Dharmendra

Azure AI Search is the enterprise retrieval engine that powers RAG applications, AI agents, and knowledge search on Microsoft Azure — combining vector search, keyword search, and transformer-based semantic ranking in a single managed platform. This guide covers hybrid search architecture, integrated vectorization, agentic retrieval for Foundry IQ, AI enrichment skillsets, security filters, pricing tiers, and a comparison with Amazon Kendra.

Azure Machine Learning is Microsoft’s comprehensive cloud platform for building, training, deploying, and managing machine learning models at enterprise scale — with no platform licensing fee. This guide covers AutoML, visual Designer, model catalog with foundation model fine-tuning, prompt flow for LLM applications, MLOps with CI/CD integration, Responsible AI governance, compute options, pricing, and a comparison with Amazon SageMaker.

Azure OpenAI Service provides enterprise access to OpenAI’s foundation models — GPT-5, GPT-4.1, o3, DALL-E, Whisper, and Sora — deployed within Azure’s infrastructure with 50+ compliance certifications, content safety controls, and native Azure integration. This guide covers deployment types (Standard vs Provisioned with Spillover), Azure AI Foundry platform, content safety and Prompt Shields, RAG with Azure AI Search, fine-tuning, pricing, and a comparison with Amazon Bedrock.

Amazon Forecast brings Amazon.com-grade time-series forecasting to your business — automatically selecting the best ML algorithms for each item via AutoPredictor, incorporating weather and promotional data, and generating probabilistic forecasts at any quantile. Important: Amazon Forecast is no longer available to new customers. This guide covers AutoPredictor ensemble optimization, Weather Index, probabilistic forecasts, what-if analysis, explainability, pricing, and migration strategies to SageMaker and Chronos foundation models.