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Too often, the data needed for AI is difficult to find, poorly understood, or repeatedly prepared for individual projects. Data products offer a better model by packaging trusted data with clear ownership, consistent definitions, and the context needed for reuse across models, agents, analytics, and applications.
To examine how organizations can turn fragmented data assets into reusable building blocks for AI, DBTA is bringing together industry experts for this special roundtable webinar.
You'll Learn How To:
- Design reusable data products for AI and analytics
- Establish clear ownership, standards, and service expectations
- Improve data quality, discoverability, and accessibility
- Provide trusted context for models, agents, and applications
- Scale data product adoption across teams and use cases
Register Now to attend the webinar Data Products for AI: Building Trusted, Reusable Data. Don't miss this live event on Thursday, February 11, 11 AM PT / 2 PM ET.
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