7 min read
Model Context Protocol Six Weeks In: What It Is and Where It Fits
A practitioner's read on Anthropic's Model Context Protocol in January 2025: the primitives, a read-only SQL server in Python, and when not to use it.
Blog
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 23 of 92
7 min read
Gemini 2.0 Flash Experimental: What It Means for Azure-First Teams
What Google actually shipped with Gemini 2.0 Flash in December 2024, what is still experimental, and when an Azure-first team should run a trial.
7 min read
Claude 4 Speculation: What to Plan For While Anthropic Is Quiet
No Claude 4 is announced yet: what Anthropic actually shipped in late 2024, what it hints at, and how to stay ready without guessing.
7 min read
GPT-5 in January 2025: Reading the Signals Instead of Guessing
What o1, the o3 announcement and reports on Orion actually tell us about GPT-5 in January 2025, and what Azure OpenAI teams should build while they wait.
8 min read
Agentic Workflows That Survive Restarts with Durable Functions
Run an LLM tool-calling loop inside Azure Durable Functions so it checkpoints each step, stays within a step budget and waits hours for human approval.
7 min read
Multi-Agent Orchestration: Pick the Pattern Before the Framework
Four multi-agent orchestration patterns, what Semantic Kernel, AutoGen 0.4 and Azure AI Agent Service offered for each in January 2025, and when to skip them.
7 min read
AI Agents in 2025: What You Can Actually Ship on Day One
A practical look at the agent tooling that really exists on 1 January 2025, what is still preview, and where to draw the line on autonomy.
1 min read
Year-End Reflections: Lessons from 2024 and Intentions for 2025
2024 was a year of transformation in data and AI. We saw AI move from impressive demos to production systems, data platforms consolidate around unified…
1 min read
The Future of Data Platforms: Where We're Headed
The data platform of the future will feel like working with a knowledgeable colleague who understands your data and your business. Start building toward…
1 min read
What's Next for AI: The Road from Here
The future of AI is being written now. Stay curious, stay learning, and help shape it responsibly.
1 min read
2025 Predictions: What's Next for Data and AI
The future is bright for data and AI professionals who stay current and adapt to these changes.
1 min read
AI-Assisted Development: How AI is Changing How We Build
AI-assisted development is here to stay. Learn to use these tools effectively while maintaining code quality and understanding.
1 min read
Developer Experience for Data and AI Teams
Great developer experience is an investment that pays dividends in productivity, quality, and retention. Measure it and improve it continuously.
1 min read
Platform Engineering for Data and AI: Building Internal Developer Platforms
Platform engineering enables scale while maintaining quality and consistency. Build platforms that make the right thing easy and the wrong thing hard.
1 min read
LLMOps Emergence: Operating Large Language Models in Production
LLMOps is essential for reliable LLM applications. Start with prompt management and evaluation, then add observability and cost tracking as you scale.
1 min read
MLOps Maturity: Productionizing Machine Learning
MLOps is essential for sustainable ML in production. Start with experiment tracking and gradually add components as your ML practice matures.
1 min read
DataOps Maturity: Building Reliable Data Operations
DataOps maturity directly impacts data reliability and team productivity. Invest in these practices to build a robust data operation.
1 min read
Analytics Modernization: From Legacy BI to AI-Powered Insights
Analytics modernization is a journey, not a destination. Start with clear goals, measure progress, and continuously evolve your analytics capabilities.
1 min read
Data Platform Trends: What Shaped 2024 and What's Coming
The data platform landscape is consolidating around unified, AI-native platforms with strong real-time capabilities. Organizations should align their…
1 min read
Fabric Adoption Patterns: Lessons from Enterprise Implementations
Success with Fabric comes from treating it as a platform transformation, not just a technology deployment. Invest in people, process, and governance…
1 min read
Microsoft Fabric Year in Review: From GA to Enterprise Standard
1. Start with a focused use case Don't try to migrate everything at once 2. Embrace lakehouse architecture It's the foundation of Fabric 3. Invest in…
1 min read
AI Governance Frameworks: Building Responsible AI at Scale
AI governance is not bureaucracy - it's enablement with guardrails. Build governance that enables innovation while managing risk appropriately.
1 min read
EU AI Act Practical Guide: What Enterprises Need to Do Now
The EU AI Act is complex but manageable with systematic approach. Start your inventory now, prioritize high-risk systems, and build compliance into your…
1 min read
AI Regulation Updates: Navigating the 2024 Regulatory Landscape
Regulation is here to stay. Treat compliance as a feature, not a burden, and build it into your AI development process.