Accelerate Insights and Enhance Efficiency with AI-Generated Catalog Documentation

Excitement about AI, including generative AI, is driving organizations across industries to move quickly to assemble talent and develop and deploy models aimed at transforming customer experiences and marketing, improving operational decisions, and spurring innovation.

However, too many projects are falling short due to poor governance and disorganized information about data and AI assets. Users—data scientists, data engineers, analysts, developers—cannot locate what they need or be certain that what they’ve found is complete and correct. This leads to poor-quality data and time-consuming manual work that reduces productivity.

Better governance can help solve problems. Data and AI governance are both essential and should be closely related, but they are often separate and fragmented across diverse data platforms, tools, and applications.

By centralizing information about data, data lineage, model versions, and more, a data catalog can play a critical role in bringing data and AI governance together to support compliance. Through accurate and complete documentation, it can accelerate the ability of users focused on business-driven initiatives to find what they need, when they need it.

Watch our on-demand webinar to learn how your organization can use a catalog—in particular, a catalog’s AI-generated documentation features—to solve data and AI governance problems and enable higher user productivity. By providing a layer of data intelligence (with accurate and comprehensive descriptions) that is above diverse data platforms and AI applications, a data catalog allows data and AI teams to avoid getting dragged down in complexity and keep their focus on delivering value.

Key discussion points will include: