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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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Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality

The Data Administration Newsletter

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Key Examples of Data Quality Failures — […]

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IoT Data Governance: Taming the Deluge in Connected Environments

Dataversity

However, the sheer volume and complexity of data generated by an ever-growing network of connected devices presents unprecedented challenges. This article, which is infused with insights from leading experts, aims to demystify […] The post IoT Data Governance: Taming the Deluge in Connected Environments appeared first on DATAVERSITY.

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

insideBIGDATA

The solution ensures that AI models are developed using secure, compliant, and well-documented data.

AI 365
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Why Spatial Data Governance is Critical to Your Business Strategy

Precisely

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

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A Data Governance Self-Assessment Test

The Data Administration Newsletter

The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. Take the […].

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Good Data Quality Is the Secret to Successful GenAI Implementation

Dataversity

So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy.