Tackle AI governance and ensure AI-ready data with erwin
Use erwin® by Quest® AI governance capabilities to confidently deploy AI models, ensure AI-ready data, and manage it all with regulatory compliance in mind. From AI governance tools including automated AI model certification to data modeling, data lineage and ongoing data observability, erwin helps you deliver successful AI outcomes.
03:31
Ensure trusted, reliable AI with automated certification
Based on the erwin by Quest 7 steps ‘model to marketplace’ framework, automated AI model certification within erwin Data Intelligence by Quest unites automation, data intelligence and best practices to help you mature AI models and data through certification and confidently into production. Ongoing data observability and alerting ensures continued AI reliability.
erwin AI Governance capabilities
Take advantage of the following erwin capabilities to ensure AI data readiness, provide transparency around AI models and data in use, align with regulatory compliance needs and boost confidence in AI reliability.
Shop and compare AI models
Easily find, understand and gain governed access to trusted AI models, related policies and assets, and reliable training data inside erwin Data Marketplace. Shop and compare AI models side-by-side and leverage automated trust scores, maturity certification, social reviews and more to put the best fitting model to use.
Certify and govern AI models
Give teams the AI governance tools to curate and manage enterprise AI models and data, policies and other related assets in one place. Take advantage of automated AI model certification to mature models and data to certified readiness for production. Easily review, approve and auto-document access requests for use in regulatory audits.
Understand AI use cases and model relationships
Use erwin Data Intelligence mind maps for a 360-degree view of all asset relationships supporting an AI use case or AI model. Business and AI risk policies, training data, related technical assets such as applicable tables and columns, sensitive data classifications, and data quality are all within reach.
Drill into AI data readiness
erwin Data Intelligence data lineage provides both the at-a-glance and drill-down detail to quickly assess sources, transformations and flows of data that will support your AI model use. Drill into the state of data quality at every stage and be aware of sensitive data in use.
Ensure AI data remains reliable
Leverage data observability inside erwin Data Quality, part of erwin Data Intelligence, to continuously monitor critical AI-related data and be alerted as data drifts beyond acceptable thresholds so you can act quickly. Consumer-friendly data quality discovery, alert triage and issue management, combine with an AI/ML-enabled self-learning platform to efficiently ensure reliable data.
Model data for use with AI
Design, manage and optimize your data architecture to support a dynamic, AI-ready data environment using erwin Data Modeler. Data models provide the foundational blueprints to ensure uniform definitions, descriptions, sensitive data identification and more to support data and AI governance and compliance.
Why turn to erwin by Quest for AI governance tools?
Beyond providing the AI governance tools to help you be proactive in managing risk in AI model use, and the data management capabilities to ensure your data is AI-ready, erwin by Quest offers a proven record in helping thousands of organizations worldwide succeed in key data initiatives.
From more easily addressing regulatory requirements to raising enterprise data landscape visibility and data literacy, to putting high-value, trusted data into the hands of data consumers faster, erwin customers are seeing big gains.
Get started now
Learn more about how erwin by Quest can help you advance AI governance and ensure AI-ready data.
Resources
Govern Your Way to AI-Ready Data and Business Value
Data governance programs have long been driven, and funded, by the need to defend against regulatory risk and improve data qual...
Gartner® Report: Follow These Five Steps to Make Sure Your Data is AI-Ready
Use this Gartner Follow these Five Steps to Make Sure Your Data is AI-ready report to identify the steps to take in establishin...
The Emerging Impact and Importance of AI Governance
Use this State of Data Intelligence snapshot report of 2024 survey research to guide planning and investing in AI governance an...
Data Governance in the Age of AI … Are you Ready?
Join Zareene Choudhury of Oakland Group and Richard Adams of Quest Software as they discuss what successful AI outcomes demand ...
The Opportunity and Governance of AI With Guest Rita Arrigo
Like a moth to a flame, AI is THE topic on everyone’s mind. With Gartner forecasting that “by 2025, the concentration of pretra...
Practical data governance in an AI era
Watch this conversation with Nicola Askham, the Data Governance Coach, and Michael O’Donnell of erwin by Quest as they discuss ...
erwin Data Quality ensures reliable, trusted and AI-ready data
View this brief erwin Data Quality video to see how integrated data profiling, quality visibility and data observability can bu...
Introducing erwin Data Marketplace
Take a look at this quick overview to see how erwin Data Marketplace, available within erwin Data Intelligence, delivers a simp...
Blogs
Introducing erwin Data Intelligence 15: Boost confidence in AI with certified models, trusted data and smarter discovery
Discover how erwin Data Intelligence 15 helps organizations confidently deploy AI models, enhance data trust and maximize data value.
Monique Devine
AI-readiness and AI-ready data: Essential steps for future success
AI readiness starts with AI-ready data. Learn how to prepare your data strategy, ensure governance and reduce AI risks for future success.
Susan Laine
The costs of bad data models in AI readiness
Learn how data modeling for AI directly impacts your organization’s ability to scale AI and drive business value.
Danny Sandwell
Why data modeling is critical before AI initiatives
Learn why data modeling for AI is essential for delivering the clarity, structure, and governance AI systems need to perform effectively.
Danny Sandwell
7 key components to include in your AI data governance strategy
Discover seven best practices that organizations should use to create an effective AI governance strategy.
Susan Laine
Developing an AI governance framework: Key components and considerations
Explore what it takes to develop an AI governance framework to ensure your organization's data offers a place for safe and profitable AI use.
Susan Laine