Discover the key to data readiness for impactful generative AI

As organizations race to develop generative AI solutions, data readiness is increasingly important. Research from Enterprise Strategy Group highlights the critical role of data quality, governance, and bias in AI adoption.

Key findings include:

· Data quality is crucial, with nearly three-quarters rating its impact as critical or very high.

· Data governance and compliance are essential, with tools like data lineage management ensuring transparency.

· Integrating data sources is challenging, with only 23% reporting fully integrated data.

· Addressing data bias requires transparency, ethical guidelines, and diverse training data.

Read the full research report for insights into data readiness for AI.

Vendor:: Qlik
Posted:: Feb 20, 2025
Published:: Feb 21, 2025
Format:: PDF
Type:: ESG Research Report

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