Webinar: Next-generation data quality: building the foundation for future data and AI workload
Webinar live date: July 15, 2025
Webinar live time: 11 AM EDT | 5 PM CEST
To drive value from data, businesses need full transparency and control over their data quality. Despite major investments in analytics and AI, poor data quality still costs organizations from $10 to $15 million annually through operational inefficiencies, compliance issues, and inaccurate insights.
That’s why data quality can’t be an afterthought.
IBM watsonx.data intelligence capabilities combines next-generation automated data quality rule generation with advanced data lineage, delivering automated, scalable data curation, quality assurance, and industry-specific knowledge accelerators. This unified technology foundation enables a proactive, end-to-end approach to streamline data discovery, governance, quality scoring, and monitoring across key dimensions.
Key takeaways:
— Streamline data discovery and governance to quickly detect and resolve data quality issues
— Automatically monitor and score data quality across key dimensions with ease
— Visualize data flow, quality score, violations and incident impact using lineage and SLA metadata
— See the solution in action and learn how IBM data intelligence solutions help to prevent errors and reduce risk
Speakers:
— Vishwas Balakrishna, Senior Product Manager, IBM Metadata Enrichment, Data Quality, Gen AI, Governance & Privacy
— Robert Jackson Jones, Senior Product Manager, IBM Data Fabric
— Joe Chmielewski, Technical Product Manager, IBM Data Lineage Solutions Architect
Webinar: Next-generation data quality: building the foundation for future data and AI workload
Webinar live date: July 15, 2025
Webinar live time: 11 AM EDT | 5 PM CEST
To drive value from data, businesses need full transparency and control over their data quality. Despite major investments in analytics and AI, poor data quality still costs organizations from $10 to $15 million annually through operational inefficiencies, compliance issues, and inaccurate insights.
That’s why data quality can’t be an afterthought.
IBM watsonx.data intelligence capabilities combines next-generation automated data quality rule generation with advanced data lineage, delivering automated, scalable data curation, quality assurance, and industry-specific knowledge accelerators. This unified technology foundation enables a proactive, end-to-end approach to streamline data discovery, governance, quality scoring, and monitoring across key dimensions.
Key takeaways:
— Streamline data discovery and governance to quickly detect and resolve data quality issues
— Automatically monitor and score data quality across key dimensions with ease
— Visualize data flow, quality score, violations and incident impact using lineage and SLA metadata
— See the solution in action and learn how IBM data intelligence solutions help to prevent errors and reduce risk
Speakers:
— Vishwas Balakrishna, Senior Product Manager, IBM Metadata Enrichment, Data Quality, Gen AI, Governance & Privacy
— Robert Jackson Jones, Senior Product Manager, IBM Data Fabric
— Joe Chmielewski, Technical Product Manager, IBM Data Lineage Solutions Architect