Artificial intelligence (AI) governance

We put the (data) intelligence in AI

AI Governance

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Are You Ready for AI?
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AI without trusted data isn’t intelligent – it’s a recipe for disaster. Collibra powers organizations that need the highest-quality data for the highest-quality AI. With active metadata at its core, Collibra Data Intelligence Cloud serves as the foundation for your AI strategy. Monitor, validate, trace and fix data issues before it’s too late. Minimize risk while delivering unparalleled productivity gains.

Collibra drives data governance – the start of your AI governance journey.

Like data governance, it’s critical to know where to start with AI governance. Our team of AI experts and data scientists have developed a framework as an easy-to-implement guide to getting your AI governance program in place. Below are the four steps for managing and governing AI across its cycle.

Define the use case

Capture ideas from the business, assess feasibility and define the AI use case. Set desired business outcomes and KPIs, assess risks, and assign ownership and accountability.

Identify and understand data

Collect and assess what data is available to use, if it’s high quality/certified, and whether its use complies with data/AI regulations.

Document models and results

Document, trace, and track the model and all data products related to the model for analysis and reporting.

Verify and monitor

Verify your model and continuously monitor to ensure the quality and compliance of the underlying data products. Retrain, test, and audit models regularly.

Data intelligence fuels data and AI governance

Underlying AI governance are the data products that feed into the model and the models themselves. At each step of the framework, data intelligence capabilities come into play. Because AI is driven by data, AI governance fits into your larger, enterprise data governance plan.

ML-generated adaptive rules

Connect to any data source and generate thousands of monitoring controls in minutes. Instantly detect breaking trends so you can stop sending bad data downstream.

Download your rule cheat sheet

Data discovery and enforcement

Access an out-of-the-box repository of industry-specific, auto-validation rules. Automatically discover sensitive data, enforce quality and take action on broken records.

See it in action

Custom data quality rules

Write your own custom rules with an intuitive, built-in SQL editor. Stop re-writing the same rules over and over and use our rule templates to build rules that can be re-used and shared across many business units.

Data pipeline monitoring

See inside data pipelines to reveal blind spots in your data operations. Distinguish one-off incidents from system-wide hiccups. View data health by business unit and data source.

Are you ready for AI?

72%

Leaders who said problems with data are most likely to jeopardize the achievement of their AI goals between now and 2025.¹

78%

Leaders who said scaling AI and ML use cases to create business value is their top priority over the next three years.¹

70%

Internally developed apps that will incorporate AI or ML.²

AI governance delivers impact across your organization

High-quality AI output

Training your AI model shouldn’t be a one-time event. AI governance helps you continuously monitor and retrain models for continued high-quality AI output.

Increased productivity

AI governance helps you deliver high-quality AI to automate customer service, process documents and even create content for your organization.

Business growth

Properly governed AI can add tremendous value and growth across the organization, helping to improve customer experience (CX), improve product development and other revenue-driving use cases.

Compliance and trust

AI regulations like Europe’s AI Act are fast approaching and will have heavy penalties for those out of compliance. An AI governance framework helps you put the right policies and procedures in place to keep compliant and retain the trust of your customers.