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As AI moves from experimentation to production, many organizations are discovering that their data foundations are not ready to support it. More than 80% of AI projects fail due to issues like data quality, accessibility, and governance. Critical data is scattered across cloud platforms, operational systems and data lakes, making it difficult to deliver trusted data for AI.
Without scalable integration and governance frameworks, inconsistent definitions, data quality issues, and limited visibility can undermine AI outcomes and limit the impact of AI initiatives.
To explore how organizations are building AI-ready data foundations, DBTA is bringing together industry experts for a special roundtable webinar.
Join this interactive discussion to learn:
- Why fragmented data environments slow down AI initiatives
- How modern integration strategies help deliver AI-ready data
- Approaches for improving governance, data quality and transparency
- Best practices for scaling data access while maintaining control
Reserve your seat today.
Register Now to attend the webinar AI-Ready Data: Building Scalable Integration and Governance Frameworks. Don't miss this live event on Thursday, July 30, 11 AM PT / 2 PM ET.
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