Ebook

6 Data Cleaning Challenges Blocking Enterprise AI Success

6 Data Cleaning Challenges Blocking Enterprise AI Success

Pages 11 Pages

The eBook 6 Data Cleaning Challenges Blocking Enterprise AI Success highlights how poor data quality undermines AI adoption, with 70% of enterprises struggling to scale due to scattered, inconsistent, or incomplete data. Key challenges include siloed repositories, inconsistent formats, unstructured content, missing information, security risks, and scalability issues. Coveo addresses these through a unified index, connectors across 30+ sources, OCR and hybrid retrieval for unstructured data, advanced analytics to spot content gaps, strict compliance with GDPR, HIPAA, and SOC 2, and scalable machine learning models. By cleaning and structuring data, Coveo enables enterprises to deliver accurate, secure, and scalable AI-powered experiences that build trust and drive business outcomes.

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