Remove 2024 Remove Data Quality Remove Metadata
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The Symbiotic Relationship Between Data Governance and AI

David Menninger's Analyst Perspectives

Data governance is integral to an overall data intelligence strategy. Good data governance provides guardrails that enable enterprises to act fast while protecting the business from risks related to regulatory requirements, data-quality issues and data-reliability concerns.

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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

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When is data too clean to be useful for enterprise AI?

CIO Business Intelligence

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

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2024 Gartner Market Guide To DataOps

DataKitchen

2024 Gartner Market Guide To DataOps We at DataKitchen are thrilled to see the publication of the Gartner Market Guide to DataOps, a milestone in the evolution of this critical software category. At DataKitchen, we think of this is a ‘meta-orchestration’ of the code and tools acting upon the data. Contact us to learn more!

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

This week on the keynote stages at AWS re:Invent 2024, you heard from Matt Garman, CEO, AWS, and Swami Sivasubramanian, VP of AI and Data, AWS, speak about the next generation of Amazon SageMaker , the center for all of your data, analytics, and AI. Having confidence in your data is key.

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Informatica Embraces AI for Data Intelligence and Operations

David Menninger's Analyst Perspectives

It expanded its focus to address wider data integration and data management challenges, including master data management, data quality and data governance. The latter was boosted by the companys most recent acquisition , adding the data management access and privacy capabilities of Privitar in 2023.

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Implement historical record lookup and Slowly Changing Dimensions Type-2 using Apache Iceberg

AWS Big Data

As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. For example, to update the price of the product, you need to run the following query.