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Why Data Quality is the Secret Ingredient to AI Success

insideBIGDATA

In this contributed article, engineering leader Uma Uppin emphasizes that high-quality data is fundamental to effective AI systems, as poor data quality leads to unreliable and potentially costly model outcomes.

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Rule Output Settings within a Project in IBM Knowledge Catalog: Standardising Data Quality at Scale

IBM Data Science in Practice

Photo by DongGeun Lee on Unsplash In todays fast-paced, data-driven world, high-quality dataaccurate, complete, and consistentis foundational to everything from regulatory compliance and analytics to AI and strategic decision-making. To configure data quality default settings, you must have the Admin role in the project.

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Modern Data Governance: Trends for 2025

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Key Takeaways: Prioritize metadata maturity as the foundation for scalable, impactful data governance. Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

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This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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Alation Unveils AI Governance Solution to Power Safe and Reliable AI for Enterprises

insideBIGDATA

the data intelligence company, launched its AI Governance solution to help organizations realize value from their data and AI initiatives. The solution ensures that AI models are developed using secure, compliant, and well-documented data. Alation Inc.,

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2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority

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Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making. The results are in!

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2025 Planning Insights: Data Governance Adoption Has Risen Dramatically

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Key Takeaways: Interest in data governance is on the rise 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).