AI is transforming how organizations view their massive volume of unstructured data. What was once treated mainly as a compliance or security risk is now more commonly being recognized as a potential driver of growth. In a recent Forbes Tech Council article, DryvIQ CEO Sean Nathaniel argues that unstructured data readiness is more than a safeguard, it’s a growth strategy – and business leaders must evaluate it accordingly.
The piece outlines why risk-based justifications for data readiness strategies fall short, and applies a broader framework that Gartner recently introduced for measuring returns: Return on Employee (ROE), Return on Investment (ROI), and Return on Future (ROF). Together, these dimensions show how a strong data foundation not only improves productivity and maximizes AI outcomes today, but also ensures adaptability for tomorrow’s innovations.
Read the full article on Forbes for a deeper look at:
- A new framework for evaluating data readiness: Learn how ROI, ROE (Return on Employee), and ROF (Return on Future) provide a more complete view of AI-driven business impact.
- Practical strategies for executive buy-in: Discover how to translate technical data initiatives into measurable business outcomes that drive growth and agility.
- Insights on future-proofing AI investments: Understand how scalable, organized, and AI-ready data prepares organizations to adapt to emerging tools, use cases, and regulatory demands.
Start your data readiness journey today
Ready to take the next step? Connect with one of our unstructured data experts to begin assessing your data readiness for AI and build a roadmap for success.
Whether your goal is to reduce risk, support AI adoption, improve compliance, or drive efficiency, DryvIQ ensures your unstructured data is always ready for what’s next.
