1 min read
Azure AI Foundry Agents: Building Production AI Agents
Azure AI Foundry simplifies the path from agent prototype to production deployment.
Blog
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 18 of 92
1 min read
Semantic Kernel 2.0: Major Updates and New Features
Semantic Kernel 2.0 provides enterprise-ready AI orchestration with improved developer experience.
1 min read
Build 2025: Developer Tools and AI Integration
Full agentic coding experience directly in VS. These tools transform the development experience with AI assistance at every step.
1 min read
Build 2025: The Copilot Stack Deep Dive
The Copilot Stack makes it straightforward to build AI-powered applications across the Microsoft ecosystem.
1 min read
Build 2025: Azure AI Platform Deep Dive
The new orchestration engine supports complex multi-agent workflows with built-in state management.
1 min read
Build 2025 Day One: Major Announcements and Developer Impact
New agent capabilities with improved reasoning Enhanced model routing and orchestration Expanded model catalog with latest versions Simplified deployment…
1 min read
April 2025 Recap: Build Preparation and Platform Integration
Copilot extensibility patterns Windows AI features and NPU programming Phi 3 local deployment SLM vs LLM strategies ONNX deployment patterns Edge AI…
1 min read
AI Cost Optimization: Managing LLM Expenses
Strategic cost optimization can reduce AI expenses by 50-80% while maintaining quality.
1 min read
Snowflake Cortex: AI Functions in the Data Cloud
Snowflake Cortex makes AI accessible through familiar SQL without data movement.
1 min read
Databricks AI: Unified Data and AI Platform
Databricks unifies data, ML, and AI on a single lakehouse platform.
1 min read
Azure Synapse Analytics AI: Machine Learning at Scale
Synapse enables AI at data warehouse scale with native ML integration.
1 min read
Power BI Copilot: AI-Powered Business Intelligence
Power BI Copilot makes data analysis accessible to everyone through natural language.
1 min read
Microsoft Fabric AI Integration: Unified Analytics and Intelligence
Microsoft Fabric integrates AI throughout the analytics lifecycle from ingestion to insights.
1 min read
AI in Data Pipelines: Intelligent ETL and ELT
AI-enhanced pipelines handle complex transformations and quality issues automatically.
1 min read
Natural Language to SQL: Building Text-to-SQL Systems
Text-to-SQL democratizes data access by enabling natural language queries.
1 min read
Code Generation with AI: Building Developer Tools
AI code generation accelerates development while maintaining code quality.
1 min read
Table Extraction with AI: From Images to Structured Data
AI-powered table extraction handles complex layouts and normalizes data automatically.
1 min read
Azure Document Intelligence: Extracting Structured Data from Documents
Document Intelligence automates data extraction from complex business documents.
1 min read
Multimodal RAG: Retrieval Across Text, Images, and Documents
Multimodal RAG unlocks intelligence from documents containing text, tables, and images.
1 min read
PostgreSQL with pgvector: Open Source Vector Search
pgvector enables AI-ready applications using familiar PostgreSQL infrastructure.
1 min read
Cosmos DB Vector Search: Building AI-Ready Databases
Cosmos DB vector search brings global scale and multi-model capabilities to AI applications.
1 min read
Azure AI Search Advanced Features: Beyond Basic Indexing
Azure AI Search combines the best of vector, keyword, and semantic search in one service.
1 min read
Speculative Decoding: Accelerating LLM Generation
Speculative decoding can achieve 2-3x speedup without any quality degradation.
1 min read
Quantization Techniques: Shrinking Models Without Losing Quality
Strategic quantization enables deploying large models on resource-constrained devices.