Introduction

Dataiku is a govern centralized platform for Everyday AI, based on seven key capabilities:

1. GenAI & Agents: Move beyond the lab and safely deliver GenAI & Agents at enterprise scale. Dataiku offers teams a secure large language model (LLM) gateway, no-code to full-code development tools, and AI-powered assistants to help everyone do more with GenAI & Agents.

   • For more information, non-coders can follow the Quick Start | Dataiku for Generative AI (in the Knowledge Base).

   • Coders will find several tutorials in Generative AI and small examples in Concepts and examples.

2. Machine Learning: From a guided approach with AutoML to cutting-edge techniques and full code, use Dataiku to build and evaluate machine learning (ML) models faster — all with the highest standards of explainability.

   • For more information, non-coders can follow the Quick Start | Dataiku for machine learning (in the Knowledge Base).

   • Coders will find several tutorials in Machine Learning and small examples in Concepts and examples.

3. Analytics & Insights: Upgrade your business intelligence (BI) and self-service analytics efforts with Dataiku. Enable everyone to make better, faster, everyday decisions built on trusted data via capabilities like visualization, dashboards, GenAI-powered storytelling, and more — all in one unified platform.

   • Non-coders can follow the Data Visualization (in the Knowledge Base) for more information.

   • Coders will find tutorials about Webapps and small examples in the Concepts and examples section.

4. Data Prep for AI: Connect, cleanse, and prepare data 10x faster with Dataiku. From data preparation, effortlessly transition to anything from basic analysis to modeling and even deployment — all within a single environment.

   • For more information, non-coders can follow the Quick Start | Dataiku for data preparation (in the Knowledge Base).

   • Coders will find code samples in Concepts and examples, as well as instructions on how to customize their inputs in Plugins development.

5. AI Governance: Enforce AI governance standards across all data work, all in one place. From data preparation and self-service analytics to machine learning and generative AI applications or projects, maintain visibility and reduce risk as your AI portfolio scales with Dataiku.

   Coders and non-coders will find a lot of information on their respective websites (the Developer Guide and the Knowledge Base, respectively).

6. AI Engineering Operations: Manage all dimensions of your AI portfolio operations through a single, unified platform. Whether you’re automating data pipelines to ensure clean, reliable, and timely data or deploying and managing machine learning models and GenAI applications in production, Dataiku brings all your project operations together seamlessly.

   Coders and non-coders will find a lot of information on their respective websites (the Developer Guide and the Knowledge Base, respectively).

7. AI Ecosystem: With Dataiku, it’s easy to create analytic dashboards and data products and share them with business users to support day-to-day decision making. Generative AI applications, what-if analysis with outcome optimization, and interactive web apps — developed with or without code — are just a few ways to empower your organization with self-service analytics.

   Coders and non-coders will find a lot of information across their respective websites.