Remove Data Quality Remove Data Strategy Remove Metadata
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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

There is, however, another barrier standing in the way of their ambitions: data readiness. Strong data strategies de-risk AI adoption, removing barriers to performance. This in turn stimulates a more agile and adaptable approach to AI which can accelerate its uptake and the returns that the organisation can expect.

Risk 111
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Octopai Acquisition Enhances Metadata Management to Trust Data Across Entire Data Estate

Cloudera

By adding the Octopai platform, Cloudera customers will benefit from: Enhanced Data Discovery: Octopai’s automated data discovery enables instantaneous search and location of desired data across multiple systems. This guarantees data quality and automates the laborious, manual processes required to maintain data reliability.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 105
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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

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Expanding Role of Data Governance, Metadata Management, and Data Quality

TDAN

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.