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.
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As organizations invest in AI, effective governance is crucial to maintain safety and compliance. But did you know it's also critical for creating a consistent framework for innovation? Interac, a leader in digital payments, has partnered with Alation to build a robust AI governance framework. Join Mohit Sirpal and Shubneet Bharwani from Interac as they share expert insights on creating a trusted data environment for AI. Learn how Interac leverages data intelligence to enable self-service, transparency, and traceability in their AI processes, ensuring they are prepared for future AI initiatives.
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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?
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In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.