Datasheet
Data leaders are under mounting pressure to launch AI use cases. What steps can they take to ensure their data is AI-ready and primed to fuel real business results?
Download this checklist to learn:
The boxes to check for data discovery for AI
The data governance capabilities to put in place to fuel AI
How to prepare for the future of AI use cases
This guide is a companion to the blog, AI Governance Checklist: Is Your Business AI-Ready? It is designed for data management professionals curious to learn how they can prepare their data for AI use cases.
Customer Case Study
This case study builds on the VillageCare story published in 2022. That story focuses on the organization's initial Alation implementation and the critical first steps it took to create an organization-wide business lexicon and a single source of truth for its AWS data.
eBook
How can you support and scale AI innovation? Data leaders can empower teams to build AI that delivers meaningful business outcomes by providing a foundation for AI governance. Yet, AI governance differs from data governance in a range of critical ways.
Webinar On-Demand
In the rapidly evolving regulatory landscape, ensuring compliance with data governance standards is crucial for organizations operating in Singapore. The Monetary Authority of Singapore (MAS) has introduced new data governance guidelines to enhance data protection, transparency, and risk management practices.