Summary
Discover how to tackle poor data quality and unlock the potential of generative AI with the right data architecture.
Poor data quality can lead to customer distrust, regulatory issues, poor decision-making, lost revenue, and failed projects. However, a robust data architecture can enhance data quality, and provide a framework for effective data management across various applications, including business intelligence and data science.
Join this webinar, featuring Jeff Wai and Mike Grasselt from IBM Data Governance, which will highlight four critical data quality capabilities necessary for a modern data architecture in today's evolving data landscape.
In this webinar you'll get:
- Capabilities for improving data quality
- Real-world data quality use cases
- Live demos of data quality SLAs and monitoring
Please join us in this on-demand recording. Please share any questions by clicking on the Reply button. If you have not done so already, register to watch here.
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Jeff Wai
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