Whitepaper
The AI data race is on! Is your data in shape to compete? Increasingly, leaders are confronting a formidable obstacle in the race to leverage their data for AI: poor data quality. How can leaders implement a data quality program that improves their chances for AI success?
Read this white paper to learn:
Why data quality is so important for AI initiatives today
How to create a data quality framework to support AI at scale
Best practices for data governance and goal-setting for your AI use case
This guide is designed for data management professionals curious to learn how a data intelligence platform can help them up-level their data quality tactics in pursuit of successful AI initiatives.
Alation Brief
Join us to explore how Alation Anywhere brings the power of data intelligence directly to your fingertips - right in your browser. Our integrations now extend beyond Excel, Teams, Slack, Tableau, and Google Sheets to include Chrome. With the Alation Anywhere Chrome Extension, you can search, preview, and trust critical data without leaving Chrome, enabling faster, more informed decisions across your organization and seamlessly fitting into your workflow.
Webinar On-Demand
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.
Webinar On-Demand
As AI becomes increasingly integral to business operations, effective governance is essential to ensure innovation remains safe, auditable, and compliant. According to IDC research, the two top concerns for organizations investing in generative AI solutions are: the lack of GenAI skills or expertise within the organization and the accuracy of AI-generated outcomes. Building AI literacy and leveraging accurate, trusted data are crucial for driving successful AI initiatives.