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Navigating data governance and classification in generative AI with NetApp

CIO Business Intelligence

In today’s data-driven world, the proliferation of artificial intelligence (AI) technologies has ushered in a new era of possibilities and challenges. One of the foremost challenges that organizations face in employing AI, particularly generative AI (genAI), is to ensure robust data governance and classification practices.

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10 AI strategy questions every CIO must answer

CIO Business Intelligence

To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. Here are 10 questions CIOs, researchers, and advisers say are worth asking and answering about your organizations AI strategies. How does our AI strategy support our business objectives, and how do we measure its value?

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The Symbiotic Relationship Between Data Governance and AI

David Menninger's Analyst Perspectives

Data governance has always been a critical part of the data and analytics landscape. However, for many years, it was seen as a preventive function to limit access to data and ensure compliance with security and data privacy requirements. Data governance is integral to an overall data intelligence strategy.

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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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The 3 key pillars of data governance for AI-driven enterprises

CIO Business Intelligence

Data governance has evolved from a compliance necessity to a strategic pillar for AI-driven enterprises. With data volumes exploding across cloud, edge and hybrid environments, traditional governance models, built around static policies and periodic audits, are increasingly ineffective. Dynamic policy engines.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. Nutanix commissioned U.K. Cost, by comparison, ranks a distant 10th.