AI doesn’t work without the right data – yet most organizations struggle to prepare their data estates for GenAI and AI initiatives. According to Gartner:
“Through 2026, those organizations that don’t enable and support their AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs and be abandoned.”
Hyperscience helps enterprises fix this foundational problem by transforming unstructured documents into clean, governed, AI-ready data. Whether you’re preparing for LLM adoption, building out metadata strategies, or unifying your data pipelines, Hyperscience ensures your data is accurate, traceable, and contextually relevant.
We believe this Gartner report provides a strong five-step framework to help data and analytics leaders operationalize AI-readiness – from aligning data to use cases, to evolving metadata and enabling observability. Hyperscience supports these foundational steps by:
- Aligning document-based data with specific AI use cases across the enterprise
- Enriching metadata and context to reduce hallucinations and improve output quality
- Automating data pipelines and validation to maintain AI model performance over time
Download the full report to receive expert guidance on building your AI-ready data estate – and take the next step with Hyperscience to transform your document chaos into a competitive advantage.
“If your data has issues, then your data is not ready for AI, therefore, your organization is not ready for AI.”
Gartner, Follow These Five Steps to Make Sure Your Data Is AI-Ready, Melody Chien, Ehtisham Zaidi, Mark Beyer, 18 October 2024.
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