2 min read
November 2025 Recap: Ignite Announcements and AI Progress
Azure AI Foundry unified the AI development experience, combining model catalog, deployment tools, and prompt management into a single platform. This…
Azure AI
22 articles
1 min read
Cost Management for Azure AI Services: Budgeting and Optimization
Azure AI costs depend on multiple factors: model selection, token usage, deployment type (serverless vs. provisioned), and regional pricing. Visibility into…
1 min read
Document Intelligence: Extracting Structured Data from Complex Documents
Document Intelligence understands document structure, extracting tables, key-value pairs, and semantic entities rather than just raw text. This structured…
1 min read
Implementing Guardrails for Production LLM Applications
LLMs can generate harmful content, leak sensitive information, or be manipulated through prompt injection. A layered defense approach protects users and…
1 min read
Ignite 2025 Day 1: Azure AI Foundry and New Model Capabilities
The Azure AI Foundry represents Microsoft's vision for enterprise AI development - a unified platform that handles the complexity of model selection…
1 min read
Microsoft Ignite 2025 Preview: What to Expect for Azure AI
Ignite 2025 promises to be a pivotal event for enterprise AI adoption. The convergence of Azure AI, Fabric, and Copilot technologies creates opportunities…
1 min read
Azure AI Document Intelligence: Automated Document Processing at Scale
For high-volume scenarios, implement batch processing with proper error handling and retry logic to ensure reliable document processing at scale.
1 min read
Responsible AI: Content Safety Filters for LLM Applications
Content safety is non-negotiable for production AI applications. Implement multiple layers of filtering for both inputs and outputs to protect users and…
1 min read
Evaluating RAG Systems: Metrics and Automated Testing with Azure AI
Fail builds when quality metrics drop below thresholds, catching regressions before they reach production.
1 min read
AI Agent Best Practices: Lessons from Production
AI Agent Best Practices: Lessons from Production
1 min read
Multi-Agent Architectures: Collaboration at Scale
Single agents have limits. Multi-agent systems multiply capabilities. Today I'm exploring architectures for agent collaboration.
1 min read
Agent Orchestration Patterns for Production
Building single agents is one thing. Orchestrating multiple agents for complex workflows is another. Today I'm exploring production-ready orchestration…
1 min read
Building AI Agents: From Simple to Sophisticated
AI agents are systems that can take actions autonomously to achieve goals. Today I'm exploring how to build agents from simple tool-using assistants to…
1 min read
Azure AI Agent Service Preview: Building Intelligent Agents
Azure AI Agent Service provides: Managed agent runtime No infrastructure to manage Built in tools Code execution, file handling, web search Memory…
1 min read
Tracing and Debugging AI Applications
Debugging AI applications is different from traditional software. Today I'm exploring tracing and debugging techniques for production AI systems.
1 min read
Evaluation Improvements in Azure AI Studio
Without proper evaluation: Models may hallucinate without detection Quality degrades silently over time Compliance violations go unnoticed User experience…
1 min read
Prompt Flow Improvements: Building Production AI Pipelines
Prompt Flow has evolved significantly since its introduction. Today I'm exploring the latest improvements for building production-ready AI pipelines.
1 min read
Azure AI Studio Updates at Build 2024
Azure AI Studio now provides a single pane of glass for: Model catalog browsing Prompt engineering Fine tuning Evaluation Deployment Monitoring
1 min read
Receipt Analysis with AI: Expense Management Automation
1. Handle image quality Validate before processing 2. Classify automatically Use LLM for categorization 3. Validate against policy Automate compliance…
1 min read
Document Understanding with AI: From Images to Insights
1. Choose the right model prebuilt invoice, prebuilt receipt, or prebuilt document 2. Handle multi page Process pages appropriately 3. Preserve layout Use…
1 min read
Azure AI Content Safety: Comprehensive Content Moderation
Implementing Azure AI Content Safety for robust content moderation in AI applications.
1 min read
Responsible AI Improvements in Azure: Building Trustworthy AI Systems
Responsible AI is not optional - it is essential for building AI systems that users and organizations can trust. Tomorrow, I will cover the Azure Content…