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.
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.