How fast classification models like Jev alongside open alternatives such as GLiClass compare with LLMs, and how to run both together inside an Apache Iceberg lakehouse.
Embeddings are just columns. When exact vector search over Iceberg scans beats a vector database, when it does not, and how to lay out tables.
The case for generalists owning end-to-end data workflows with agents, the counterargument, and how to make the transition work.
What the evidence shows about whether AI replaces data engineers, which parts of the job compress, and which parts do not.
Iceberg row lineage gives rows a durable identity across rewrites. Why CDC pipelines and AI workloads will eventually depend on it.
How every media era from radio to AI forces humanity to build new cognitive filters -- the shield against scams and the sieve for finding signal in an ocean of noise.
An in-depth exploration of iceberg variant type for ai json data
Most classification workflows require exporting data to Python, running a model, and importing results back into your warehouse. Dremio's AI_CLASSIFY function...
Every data team has a version of this problem: a table full of raw data that needs human-readable summaries, translations, or narrative descriptions. Product...
Unstructured text is the most underused data in most organizations. Customer emails sit in inboxes. Contract notes live in text fields. Meeting summaries exi...
Sampling and Prompts in MCP : Making Agent Workflows Smarter and Safer
Tools in MCP : Giving LLMs the Power to Act
Resources in MCP : Serving Relevant Data Securely to LLMs
Under the Hood : The Architecture of MCP and Its Core Components
Enter the Model Context Protocol (MCP) : The Interoperability Layer for AI Agents
AI Agent Frameworks : Benefits and Limitations
What Are AI Agents : And Why They're the Future of LLM Applications
Boosting LLM Performance : Fine-Tuning, Prompt Engineering, and RAG
How LLMs Work : Embeddings, Vectors, and Context Windows
What Is AI and How It Evolved Into LLMs
The Basics of Building a Basic MCP Server
A guide on building AI applications with LangChain, a framework for developing AI applications powered by Large Language Models (LLMs).