Whitepaper
Leaders are under mounting pressure to implement AI that drives business results. How can they ensure their data is ready to fuel AI models that succeed?
Read this white paper to learn:
Why AI-ready, quality data is critical to AI initiatives
How to create a roadmap for AI strategy (and common pitfalls to avoid)
Best practices for aligning people, process, and technology in support of AI projects
This strategy guide is designed for data management experts who want to learn how a data intelligence platform can help them prepare their data AI, alongside their people and processes, to lead AI initiatives that drive results.
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 Registration
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.
Datasheet
Alation Data Governance provides the ability to establish and sustain governance programs to centralize data assets’ metadata to remove silos, reduce compliance risk through policies, standards, and controls for those assets, and unlock an organization's data safely for everyone by guiding people to trusted, high-quality, and governed data to make compliant data-driven decisions.