Reflex Triggers: Building Automated Data Workflows
Reflex triggers are the heart of Data Activator. Today I'm diving deep into building sophisticated automated workflows that respond to your data.
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
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Reflex triggers are the heart of Data Activator. Today I'm diving deep into building sophisticated automated workflows that respond to your data.
Data Activator monitors your data and triggers actions when conditions are met: A Reflex is a Data Activator item containing: Objects : Entities to monitor…
Real-time dashboards bring your streaming data to life. Today I'm exploring how to build effective real-time visualizations in Fabric.
KQL Querysets are the analysis layer of Real-Time Intelligence in Fabric. Today I'm exploring how to write effective KQL for real-time analytics.
Eventhouses are the foundation of Real-Time Intelligence in Fabric. Today I'm exploring their architecture and capabilities in depth.
Real-Time Intelligence is Fabric's answer to streaming analytics, combining the power of Azure Data Explorer with the unified Fabric experience.
Build 2024 was the most AI-focused Build ever. The theme: AI is moving from demos to production.
AI Agent Best Practices: Lessons from Production
Single agents have limits. Multi-agent systems multiply capabilities. Today I'm exploring architectures for agent collaboration.
AI agents need memory to maintain context across interactions. Today I'm exploring how to implement effective memory systems.
AI agents often need to work with files - reading documents, processing data, generating outputs. Today I'm exploring safe and effective file handling patterns.
Code execution is one of the most powerful capabilities for AI agents - and one of the most dangerous. Today I'm exploring how to implement it safely.
Tools extend what AI agents can do beyond text generation. Today I'm exploring patterns for effective tool use in production agents.
Building single agents is one thing. Orchestrating multiple agents for complex workflows is another. Today I'm exploring production-ready orchestration…
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…
Azure AI Agent Service provides: Managed agent runtime No infrastructure to manage Built in tools Code execution, file handling, web search Memory…
Debugging AI applications is different from traditional software. Today I'm exploring tracing and debugging techniques for production AI systems.
Without proper evaluation: Models may hallucinate without detection Quality degrades silently over time Compliance violations go unnoticed User experience…
Prompt Flow has evolved significantly since its introduction. Today I'm exploring the latest improvements for building production-ready AI pipelines.
Azure AI Studio now provides a single pane of glass for: Model catalog browsing Prompt engineering Fine tuning Evaluation Deployment Monitoring
Recall continuously captures screenshots of your activity and makes them searchable through AI. Think of it as a time machine for your digital life.
DirectML is Microsoft's hardware-accelerated machine learning API that works across all DirectX 12 GPUs. Today I'm exploring how to leverage it for…
Total latency: 2-5 seconds. GPT-4o processes audio natively - 232ms average response time. That's human conversational speed. The model understands tone…
ONNX Runtime is the unsung hero of AI deployment. Today I'm exploring how to use it for consistent AI inference across platforms.