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Blogs

Welcome to the Advancing Analytics blog. We’re a bunch of data and AI specialists who build modern platforms and make messy data behave.

You'll find a trove of posts and video here, focused on AI and machine learning, data engineering and analytics. Our blogs are all based on what we’re seeing in the real world - with lessons learned from the sharp end of delivery. 

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Recent Blogs

Design Considerations for your AI Framework
Futureproofing for MCP, A2A collaboration, and the next 24 months of change Introduction I’ll...
How Advancing Analytics is Transforming Customer Service
How Advancing Analytics’ “Analytics Support” Is Transforming Customer Service Imagine...
Tags as AI Labels: Why Generative AI Needs Metadata It Can Trust
Generative AI systems, especially those using retrieval-augmented generation (RAG), depend not...
Early Insights from Applying the Databricks Data Quality DQX...
Introduction Are you suffering from poor data quality? Find out how we are helping an...
Make Data Quality Simpler with Databricks
Data quality is the kind of topic that gets the same reception as "Documentation" when...
Tagging is Metadata’s Metadata: Why Good Tags Matter
What Are Tags, Really? Tags are often dismissed as technical conveniences — tiny labels stuck...
Prompt Optimisation: An Introduction to DSPy
What is Prompt Optimisation? Prompt optimisation is the process of systematically improving...
Why Databricks is the Leading Platform in the AI Era
How Databricks Saw the AI Future Coming Databricks didn’t stumble into GenAI, it engineered...
Microsoft Agent Framework: Why composability actually matters this...
Introduction Microsoft just dropped the Agent Framework, and honestly, my first reaction was...
Tracing and Evaluating LangGraph AI Agents with MLflow
Building AI agents can feel like a bit of a black box – you feed in a prompt and get an...
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