Take our
AI-readiness assessment.
Capitalizing on unstructured data is essential to thrive in our fast-moving AI world. Take this short 10-question assessment to see where you stand.*
*This test will take approx. 4 minutes.

Question 1 of 10
To what extent has your organization defined an AI strategy aligned to organization objectives?
Question 2 of 10
To what extent has your organization aligned an unstructured data strategy to its AI strategy?
By unstructured data strategy, we are referring to a strategy that ensures that relevant data from unstructured sources (e.g., documents, text, audio, video, images, social media content, emails, etc.) is of high quality, trustworthy, and accessible for use with AI.
Question 3 of 10
To what extent has your organization prepared physical documents and/or analog media for use with AI?
By prepared physical documents and/or analog media for use with AI, we mean taking the following steps: Identified the documents and/or media you will use with AI, cataloged the documents and/or media you will use with AI, digitized the documents and/or media you will use with AI.
Question 4 of 10
How effective is your organization in governing, protecting, and ensuring audit-ready compliance of unstructured data for AI applications?
When thinking about governing and protecting unstructured data, please consider the need to establish and enforce comprehensive policies and procedures. This includes implementing access controls, protecting data against loss and unauthorized access, and maintaining regulatory and audit-ready compliance.
Question 5 of 10
How effective is your organization at managing unstructured data at scale for use in AI?
When thinking about managing unstructured data at scale, please consider handling the full lifecycle of large and growing volumes and varieties of data stored in physical and digital formats. The data may need to be allocated to different levels of storage such as archival, nearline, and active storage, while maintaining robust governance, security, and compliance.
Question 6 of 10
To what extent has your organization implemented processes for preparing high-quality unstructured data for use in AI applications?
When thinking about "high quality," please consider aspects such as relevance, timeliness, metadata creation and tagging to enhance data organization, transformation with natural language processing and/ or image and audio processing, cleaning, normalization, enrichment, and validation.
Question 7 of 10
How effective is your organization at making unstructured data trustworthy for use in AI applications?
When thinking about trustworthy data, please consider aspects such as privacy, provenance, ownership, accuracy, consistency, lack of bias, metadata creation and tagging to ensure traceability and accountability, and validation that data meets specified standards and is fit for its intended use.
Question 8 of 10
How effective is your organization at making unstructured data readily accessible for use in AI applications?
When thinking about making data accessible, consider aspects such as ease of retrieval, user-friendly interfaces, indexing, metadata creation and tagging to enhance searchability, data integration, and providing data in various formats to accommodate different needs.
Question 9 of 10
To what extent has your organization integrated its unstructured data with business-critical applications that use AI?
Business-critical applications refers to the applications your organization relies on for operations or strategic decision-making. By integration, we mean the seamless and efficient connection of unstructured data with these applications to enhance their functionality and performance.
Question 10 of 10
To what extent does your organization use generative AI already integrated into existing software to gain insights or automate actions from unstructured data?
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