1 min read
Preparing for 2026: AI Technology Trends and Planning
Starting 2026 planning now ensures your organization can capitalize on AI advances while managing risks effectively. The key is balancing ambitious goals…
Enterprise AI
28 articles
1 min read
Prompt Engineering Patterns for Enterprise RAG Systems
Poorly designed prompts lead to hallucinations, ignored context, or responses that fail to meet business requirements. A systematic approach to prompt…
1 min read
Building Copilot Extensions with Azure OpenAI Assistants API
The Assistants API provides the foundation for building powerful, context-aware AI assistants that integrate with enterprise systems.
1 min read
Enterprise AI: Building Secure API Gateways for LLM Access
A well-designed gateway enables enterprise-wide AI adoption while maintaining security, compliance, and cost control.
1 min read
Azure OpenAI o1 Models: Reasoning at Scale for Complex Problems
The o1 models are designed for tasks requiring deep reasoning: mathematical proofs, code debugging, scientific analysis, and strategic planning. They take…
1 min read
Building Multi-Agent Systems with Azure AI Foundry Orchestration
Azure AI Foundry provides trace visualization showing the complete agent interaction graph, making it easy to debug complex workflows and optimize handoff…
1 min read
Copilot Extensibility: Building Custom Plugins for Microsoft 365 Copilot
Use the Copilot Developer Portal to test plugins in a sandboxed environment before enterprise deployment. The new debugging tools show exactly how Copilot…
1 min read
Building AI Agents with Azure AI Foundry: A Post-Build 2025 Implementation Guide
The new agent framework introduces several critical improvements. First, native multi-agent orchestration allows agents to collaborate without custom…
1 min read
Azure AI Foundry: Getting Started Guide for Data Professionals
Azure AI Foundry provides the foundation for enterprise AI applications. Start with simple use cases, measure results, and expand from there.
1 min read
AI Safety Research: 2025 Priorities and Practical Applications
AI safety isn't optional - it's a requirement for production AI. Build safety in from the start, not as an afterthought.
1 min read
Agentic Workflows: Moving Beyond Chatbots to Autonomous Task Execution
Start small: identify repetitive, well-defined tasks in your organization. Build agentic workflows for those first. As you gain confidence, expand to more…
2 min read
2024 AI Year in Review: The Year Enterprise AI Became Real
2024 was transformational. 2025 will be about scaling what works and pushing the boundaries of what's possible.
2 min read
Azure AI Foundry: Microsoft's Unified Platform for Enterprise AI
Think of it as the "Visual Studio for AI" - one place to build everything from simple chatbots to complex multi-agent systems.
1 min read
Copilot Studio Deep Dive: Building Custom AI Assistants
Copilot Studio bridges the gap between low-code simplicity and enterprise requirements. Start with templates and progressively add custom actions as needs…
1 min read
Azure AI Foundry Deep Dive: Building Enterprise AI Applications
Azure AI Foundry provides the foundation for building enterprise-grade AI applications with proper tooling, evaluation, and monitoring. The platform…
1 min read
GPT-5 Speculation: What Enterprise AI Teams Should Prepare For
The best preparation is building flexible systems that can quickly adopt new models while maintaining production stability.
1 min read
Azure OpenAI November 2024 Updates: What's New for Enterprise AI
Batch processing can reduce costs by up to 50% for workloads that don't need immediate responses.
1 min read
Image Generation for Enterprise: Governance and Best Practices
1. Define clear policies What's allowed, what's not 2. Implement review Human approval for external use 3. Track everything Full audit trail 4. Disclose…
1 min read
Capacity Planning for AI Workloads: A Practical Guide
1. Start with benchmarks Measure actual performance 2. Plan for peaks 2 3x average for safety 3. Build in headroom 20 30% buffer 4. Monitor continuously…
1 min read
Azure OpenAI PTU: Provisioned Throughput Units Explained
Aspect Pay As You Go PTU Pricing Per token Per PTU hour Throughput Shared, variable Dedicated, consistent Latency Variable Lower, consistent Commitment None…
1 min read
Cost Optimization for LLMs: Strategies That Work
1. Cache aggressively Identical queries don't need re processing 2. Tier your models Match model to task complexity 3. Optimize prompts Shorter prompts =…
1 min read
LLM Model Selection Criteria: A Decision Framework
Model selection should be systematic, not arbitrary. Define your requirements, score candidates objectively, and document decisions for future review.
1 min read
Multi-Agent Systems: Orchestrating Specialized AI Agents
Complex enterprise tasks benefit from specialization. In my work, coordinating small specialist agents led to clearer reasoning, easier testing, and more…
2 min read
RAG Architecture Maturity Model: From Basic to Production-Grade
I've seen hundreds of RAG prototypes. The gap between a demo and a production-grade system usually comes down to retrieval quality, freshness, and…
1 min read
Custom GPTs for Enterprise: Building Internal AI Tools
As organizations hand Custom GPTs to teams, my focus has been on governance, access control, and sensible defaults. These notes outline how enterprises can…
1 min read
Building Production AI Assistants: Architecture and Design Patterns
Over the past year I've been part of several assistant projects that failed at scale not because the model was lacking, but because architecture and…
1 min read
GPT-4 Turbo in Production: Lessons from Real-World Deployments
GPT 4 Turbo brings several improvements that matter for production: Feature GPT 4 GPT 4 Turbo Context Window 8K/32K 128K Input Cost $0.03/1K $0.01/1K Output…
1 min read
Azure AI Studio: Building Enterprise AI Applications
Azure AI Studio arrived at Ignite 2023 as a significantly expanded platform — and "expanded" is the right word, because it builds on Azure ML Studio's…