AI Governance With Dataiku

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.

Deep Dive on AI Governance

Build trust and drive impact at scale with AI. In this exclusive video series, hear real-life AI Governance strategies from experts across industries. Plus, go in-depth on Dataiku AI Governance capabilities.

Data Insights With Dataiku

XOps With Dataiku

Centralize Oversight With Dataiku Govern

Enforce consistent workflows and processes for AI governance all in one place, from “traditional” machine learning to generative AI projects.

Dataiku Govern brings:

Structured sign-off and approval requirements, including the ability to block deployment without proper compliance.
Registries for a centralized way to see all AI models and project bundles in one place — including large language models (LLMs) for generative AI oversight.
Project value and risk qualification matrixes for a standard way to compare initiatives and determine oversight requirements.
Specific frameworks for accelerating regulatory readiness (e.g., with the EU AI Act).

Dive Deeper on Dataiku Govern Features & Functionality

Screen showing Kanban view of Dataiku Govern for a global look at project status

Screenshot of Dataiku showing the project flow and recent modifications to the data pipeline

Bake Transparency Into Data Pipelines & Projects

Dataiku, the Universal AI Platform, was designed from the ground up with an eye for AI governance.

Each Dataiku project has a visual flow that clearly represents the pipeline of data transformations and movement from start to finish — down to column lineage. Plus, every design decision and step is captured and displayed so current or future team members can clearly follow and explain the sequence of project logic, reducing onboarding times and supporting Responsible AI principles.

Watch the 12-Minute Dataiku End-to-End Demo

Build Trust With Robust Explainability Tools

Both technical and non-technical users can better understand the outcomes of machine learning models (including LLMs) in Dataiku with tools for white-box, explainable AI.

For example, Dataiku provides interactive reports for feature importance, partial dependence plots, subpopulation analysis, what-if analysis, and individual row-level prediction explanations. When it comes to generative AI, Dataiku offers standard LLM evaluation metrics including LLM-as-a-judge techniques as well as statistical techniques for more trust and confidence in non-deterministic systems.

See How Dataiku Supports Explainable AI

Dataiku screenshots showing AI explainability tools including interactive reports for feature importance, partial dependence plots, subpopulation analysis, what-if analysis, and individual row-level prediction explanations

Choose Dataiku if you need an AI governance platform that prioritizes democratization, trust, and scalability. Dataiku distinguishes itself through powerful integration capabilities, robust governance features, and proactive customer service…

IDC Marketscape for AI Governance Platforms 2023

With … the implementation of an AI governance framework within Dataiku, OHRA is able to apply stricter, standardized, and more transparent governance with little additional time spent.

Antal Nusselder

Lead Data Scientist at OHRA

Dataiku’s emphasis on AI explainability, ease of oversight, and a standalone AI governance offering suited FSRA’s needs to operationalize its newly established AI governance Framework.

As a platform, Dataiku is elegant in its simplicity — it has the tools and the languages, and we can put governance and guardrails around it too.

Steve Perry

Head of Data Delivery at Convex Insurance

screenshot showing Dataiku's automatically generated comprehensive, customizable, and shareable documentation for models as well as data and AI project flows

Maintain Consistent Project & Model Records

Dataiku automatically generates comprehensive, customizable, and shareable documentation for models as well as data and AI project flows:

AI Explain supports on-the-fly descriptions of Dataiku flows or individual flow zones.
Flow Document Generator produces more robust documentation of all objects within data or AI projects.
Model Document Generator produces one document detailing what the model does, how the model was built (algorithms, features, processing, etc.), how the model was tuned, and model performance.

Reduce the Risk of Negative AI Outcomes

From models treating certain populations unfairly to data or model drift and now risks around sensitive information or malicious acts with generative AI, Dataiku has the tools you need to scale AI with ease.

Get robust tools to facilitate bias detection and drift analysis, plus built-in usage controls for data security when it comes to generative AI applications — all with Dataiku, the Universal AI Platform.

Discover Dataiku Features for Risk Management

screenshot of subpopulation analysis and PII detection for Generative AI in Dataiku to prevent negative outcomes from AI

Screenshots showing Dataiku data catalog and data quality features to organize data governance

Organize Data Governance for AI

At its core, Dataiku helps data owners and data governance teams improve, organize, and share their data at scale across the organization. With its data catalog, fine-grained access permissions, data quality views, and more, Dataiku supports the operationalization of your data governance efforts across the entire AI lifecycle.

For broader data governance needs, Dataiku supports metadata management and popular enterprise cataloging tools for an even more comprehensive data governance strategy.

Learn More About How Dataiku Supports Data Governance

Consolidate & Future-Proof Your Tech Stack

Unite your people, data, governance, and technology with Dataiku, the Universal AI Platform. That means one central place for AI governance, XOps (including DataOps, MLOps, LLMOps), and more — all under one roof.

Plus, thanks to Dataiku’s aggressively agnostic approach, you can future-proof your organization by allowing for technology optionality, no matter what the new hot tech of tomorrow might be.

schema showing dataiku as the universal AI platform and the central place for your people, your data, your technology, and your governance

Powering Risk Management With Dataiku Govern

Macquarie uses Dataiku Govern to shift from IT-dependent to business-driven and owned outcomes, including controlled, governed workflows.

READ MACQUARIE'S STORY

Streamlining Analytics & AI Across the Organization

For Novartis, Dataiku improved risk management and governance, while its automation capabilities freed up developer resources for more strategic initiatives. By significantly reducing the complexity of AI application development, Dataiku empowered data practitioners and citizen data scientists alike. The result was a 90% reduction in time to insights for a GenAI use case.

READ NOVARTIS' STORY

AI-Powered Risk Assessment for Financial Services

Dataiku’s emphasis on AI explainability, ease of oversight, and a standalone AI governance offering suited FSRA’s needs to operationalize its newly established AI governance Framework, which describes FSRA’s policy and guidelines concerning data science, machine learning, and AI.

READ FSRA'S STORY

Driving Business Outcomes With Data

Across all areas of the bank, Standard Chartered is accelerating the development of AI solutions, creating a culture of decision making driven by analytics and unlocking the value of data to power better business outcomes — all within a governed, controllable framework.

READ STANDARD CHARTERED BANK'S STORY

Ensuring MLOps at Scale

Dataiku has fostered a more collaborative environment at John Lewis Partnership, where multidisciplinary teams work together seamlessly to extract maximum value from AI models. Standardized processes, robust governance, and clear operational frameworks have replaced the previously disorganized approach.

READ JOHN LEWIS PARTNERSHIP'S STORY

Efficient Deployment of Compliance Models in Financial Services

AI governance and MLOps features in Dataiku allow machine learning engineers at a leading financial services firm to support more than 125+ stakeholders with mission-critical workloads at scale for detecting potential risk. Overall, this investment services firm increased their overall efficiency rate for deploying compliance models into production by more than 900%.

READ THEIR STORY

Powering Risk Management With Dataiku Govern

Macquarie uses Dataiku Govern to shift from IT-dependent to business-driven and owned outcomes, including controlled, governed workflows.

READ MACQUARIE'S STORY

Powering Insurance With Data, Machine Learning, & AI

Today, Aviva has a standardized, centralized, and modernized infrastructure for data and analytics. The most important part of this is the Dataiku workbench, providing consistent connectivity to all the source datasets, a uniform platform to operate analytics functions, appropriate governance and controls, and standardized deployment of models and workflows to production.