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How to Ensure Data Quality and Consistency in Master Data Management

Dataversity

This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data.

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Why Master Data Management (MDM) and AI Go Hand in Hand

Dataversity

This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […] The post Why Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance. Such is the significance of big data in today’s world. With the amount of data being accumulated, it is easier when said.

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Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management

Dataversity

Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management appeared first on DATAVERSITY.

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On The Conference Circuit With Domo: Australia

Domo

Domo was also invited to be part of the future session panel, discussing ways executives can navigate the next decade as brand ambitions flourish alongside advances in big data, automation, real-time analytics, artificial intelligence and personalization.

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Getting The Best From Healthcare AI

GAVS Technology

Is Healthcare Artificial Intelligence The Answer? To help explain the future of healthcare Artificial Intelligence (AI) let’s borrow a few lines from Lewis Carroll’s classic Alice in Wonderland : Alice: Would you tell me, please, which way I ought to go from here? Co-founder & CIO, Healthcare Too.

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

One of the key benefits of a data lake is that it can also store unstructured data, such as social media posts, emails, and documents. This makes it a valuable resource for organizations that need to analyze a wide range of data types.