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Building AI Copilots: From Concept to Production
Build copilots that understand context, use tools effectively, and provide clear explanations.
Blog
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 21 of 92
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Fabric AI Deep Integration: Advanced Patterns
Fabric + AI creates a powerful platform for intelligent analytics. Leverage Spark's scale with AI's intelligence.
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AI Data Pipeline Patterns: Intelligent ETL and Processing
AI-powered pipelines transform raw data into intelligent, enriched datasets. Design for both batch and streaming scenarios.
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Event-Driven AI Integration: Connecting AI to Business Events
Event-driven AI enables intelligent, automated responses to business events. Start with high-value events where AI can add immediate value.
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Streaming Inference Patterns: Processing Data as It Flows
Streaming inference brings AI insights to real-time data. Design for throughput, latency, and reliability from the start.
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Real-Time AI Patterns: Building Low-Latency Intelligent Systems
Real-time AI requires discipline around latency. Design for the worst case and optimize for the common case.
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Audio AI Updates 2025: Speech Recognition and Synthesis Advances
Audio AI enables natural voice interactions and automated content processing. Choose the right tool for your latency and accuracy requirements.
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Vision-Language Models in Production: Practical Implementation Guide
VLMs unlock powerful visual understanding capabilities. Deploy them thoughtfully with proper optimization and error handling.
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Multimodal RAG Advances: Images, Documents, and Beyond
Multimodal RAG unlocks knowledge trapped in visual formats. Start with document-heavy use cases where diagrams and charts carry critical information.
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Hybrid Search Improvements: Latest Techniques for Better Retrieval
Hybrid search continues to outperform pure vector or keyword approaches. Invest in tuning your fusion strategy for your specific domain.
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Vector Database Evolution: What's Changing in 2025
Vector databases in 2025 are more capable, efficient, and integrated than ever. Choose based on your specific requirements for scale, latency, and…
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Azure AI Updates: What's New in February 2025
Stay current with Azure AI updates to leverage the latest capabilities for your data and AI applications.
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Model Optimization Techniques: From Training to Deployment
Model optimization is both science and art. Start with the techniques that offer the best impact for your specific constraints.
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Efficient Inference: Optimization Techniques for Production AI
Efficient inference is crucial for production AI. Apply these techniques systematically and measure the impact at each step.
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SLM vs LLM: Choosing the Right Model Size Strategy
The right model isn't always the biggest one. Match model capability to task requirements for optimal cost, latency, and quality.
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Phi Model Family: Microsoft's Small Language Models Guide
Phi models represent the future of practical AI - powerful enough for real tasks, small enough to deploy anywhere. Start with Phi-3-mini for most use cases…
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On-Device Models: Deploying AI Without the Cloud
On-device AI enables new categories of privacy-preserving, low-latency applications. Choose the right format and optimization strategy for your target platform.
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Edge AI Improvements: Deploying Intelligence at the Data Source
Edge AI Improvements: Deploying Intelligence at the Data Source
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Windows AI Evolution: NPU, Recall, and On-Device Intelligence
Windows AI brings intelligence to the edge. For data professionals, this means faster, more private analytics on your desktop.
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Next-Gen Copilot Features: What's Coming in 2025
The next generation of Copilot will transform how we build software. Start exploring the current capabilities to be ready for what's coming.
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Microsoft Build 2025 Preview: What to Expect for Data and AI
Build 2025 promises to be significant for data and AI professionals. Stay tuned for the actual announcements and be ready to experiment with new capabilities.
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Microsoft Fabric and AI Integration: Complete Guide
Fabric + AI creates a powerful combination for intelligent analytics. Start with simple enrichments and build toward complex AI-powered workflows.
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AI in Data Pipelines: Intelligent ETL and Data Processing
AI transforms data pipelines from rigid rule-based systems to adaptive, intelligent processes. Start with high-value, error-prone steps and expand from there.
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Event-Driven AI: Building Reactive Intelligent Systems
Event-driven AI enables responsive, intelligent systems. Start with simple event handlers and evolve to complex orchestration as needed.