Lessons learned
Candid, practical lessons from real-world AI and data projects - what worked, what didn’t, and what to do differently.
Teaching agents to act
Oct 4, 2026
Decision models are here. Here's what happened when you put Jev inside a Dataiku agent.
Sep 30, 2026
Building a LangGraph agent in Dataiku
Aug 13, 2026
The 3 layers of agent building
Jul 5, 2026
Multi-agent systems demystified: how to pick the right architecture and framework for your task
Feb 2, 2026
I trust my AI agent, do you trust yours?
Dec 8, 2025
How can you identify an agentic AI use case?
Nov 17, 2025
AI hit a wall and the solution was to teach it to think longer
Oct 30, 2025
Automating document processing with AI
Nov 13, 2024
Taming LLM outputs: your guide to structured text generation
Oct 30, 2024
A tour of popular open source frameworks for LLM-powered agents
Sep 25, 2024
Retrieval augmented ML: how can you best leverage a data lake?
Sep 4, 2024
Beyond text: taking advantage of rich information sources with multimodal RAG
Jun 5, 2024
From sketch to success: strategies for building & evaluating an advanced RAG system
Mar 27, 2024
Demystifying multimodal LLMs
Mar 20, 2024
Standing on the shoulders of a giant
Feb 4, 2024