How Azure’s Agentic AI and Tools Revolutionize Productivity, Security, and Development Efficiency

source: Microsoft

Learn how Agentic AI Systems are solving complex problems autonomously with Azure services, automate CI/CD pipelines in Azure Data Factory, and fine-tune small language models for optimized function-calling use cases. Discover how Microsoft is enhancing security in Azure DevOps by reducing PAT usage and explore the Azure AI Agent Service for building intelligent, conversational applications with minimal custom code. Dive into these insights here!

✅ Baseline Agentic AI Systems Architecture

Agentic AI Systems use conversable agents with planning, memory, and tool capabilities to solve complex problems autonomously, supported by an architecture leveraging Azure services like AI Studio, OpenAI, Container Apps, and robust security measures to ensure safe, efficient, and ethical operations
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✅ Automated CICD in Azure Data Factory

Azure Data Factory CI/CD automates pipeline deployment across environments using Azure DevOps Git repositories, ARM templates with environment-specific parameters, and Azure DevOps pipelines for triggering, monitoring, and managing deployments efficiently while supporting rollbacks…