Remove 2027 Remove Data Governance Remove Data Quality
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Technical and Strategic Best Practices for Building Robust Data Platforms

Dataversity

In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks.

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Key Considerations for C-Suite Leaders Involved in Digital Transformation Initiatives

Dataversity

trillion by 2027, the pressure is on organizations – and specifically the C-suite – to ensure that not only are they best positioned to tackle the digital challenges of today but that they can quickly adapt to those of tomorrow as well. With spending on digital transformation initiatives worldwide projected to hit $3.9

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How IBM and AWS are partnering to deliver the promise of responsible AI

IBM Journey to AI blog

The artificial intelligence (AI) governance market is experiencing rapid growth, with the worldwide AI software market projected to expand from USD 64 billion in 2022 to nearly USD 251 billion by 2027, reflecting a compound annual growth rate (CAGR) of 31.4% ( IDC ).

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Better Data, Better Underwriting: Simplify underwriting with better data

Precisely

Advanced data analytics enable insurance carriers to evaluate risk at a far more granular level than ever before, but big data can only deliver real business value when carriers ensure data integrity. Data quality is critical, but data integrity goes much further than accuracy, completeness, and consistency.