Data Quality
its impact on Generative AI

DALL·E 2024 04 28 13.53.10 A digital artwork depicting a man lifting a large piece of wood uncovering a mess of unstructured chaotic data underneath. The data appears as tangl

In today’s data-driven business landscape, enterprises are sitting on a goldmine of information – yet much of it remains untapped and unutilized. This “dark data”, as Forrester calls it, makes up a staggering 80% of all enterprise data. Locked away in unstructured formats like invoices, emails, contracts, and customer service logs, dark data has traditionally been too costly and complex to process and analyze. But with the rise of Generative AI, that is beginning to change.

What is dark data?

Dark data refers to the significant portion of collected information that remains unused for decision-making. IBM estimates that businesses in the United States alone lose an estimated $3.1 trillion due to dark data, which includes the costs associated with missed opportunities, wasted resources, and poor decision-making.

Processing a single enterprise invoice can cost from $15 to upwards of $40, according to the American Productivity & Quality Center (APQC). When scaled across countless invoices, emails, contracts, customer service logs, and meeting recordings, the financial burden becomes evident.

Generative AI can 'shed a light' on dark data

Generative AI platforms provide the capability to sift through vast troves of unstructured data and extract valuable insights – insights that can inform critical business decisions and uncover new opportunities. By automating the processing of dark data, Generative AI enables organizations to finally shine a light on this neglected resource and reap the benefits.

However, as with any powerful technology, Generative AI is not without its risks and challenges. Chief among these is the issue of data quality. If fed with inaccurate, incomplete, or biased data, AI models can produce flawed outputs that lead to poor decisions. Ensuring high data quality is therefore paramount when implementing Generative AI.

The inherent need for a Human-in-the-Loop

This is where a human-in-the-loop (HITL) approach becomes indispensable. By integrating human reviewers into the AI workflow, enterprises can validate the accuracy of AI-generated insights before acting upon them. These human validators provide essential feedback that allows the AI models to continuously learn and improve. It’s a symbiotic relationship – the efficiency of machines combined with the expertise of humans.

Ground Truth™: Enabling Human Validation at Scale

Platforms like Ground Truth are emerging to facilitate this critical human validation at scale. Ground Truth enables enterprises to meticulously fact-check the information synthesized from their dark data before it gets utilized downstream. Whether it’s invoices, contracts, or customer communications, human reviewers can verify that the AI has correctly extracted the key details. Any errors are corrected and fed back into the AI model, creating a virtuous cycle of continuous improvement.


In the era of Generative AI, data quality has never been more important. While the technology has immense potential to unlock the value of dark data, it must be balanced with appropriate human oversight. By embracing a HITL approach and leveraging validation platforms, enterprises can confidently navigate the risks and reap the rewards of this transformative capability. The future belongs to organizations that can effectively marry the power of machines with the wisdom of humans.

Ensure Data Quality for Reliable Generative AI Insights

Ground Truth enables meticulous fact-checking of information synthesized from your dark data. By integrating human validation at scale, our platform helps you confidently navigate the risks and reap the rewards of Generative AI.

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About Netra Labs

Netra Labs is more than just an AI company; we are a catalyst for technological innovation and business transformation. Our founders have spent years developing AI and automation solutions for some of the world’s most prominent corporations.“

This experience has led us to a groundbreaking realization: the transformative power of AI should be accessible to all, not just a privileged few.

We are committed to making AI simple and affordable. Our plug-and-play solutions offer immediate value and are tailored to meet diverse business needs.

We’re not just selling products; we’re selling empowerment. We believe that every business, regardless of size or industry, should have the tools to harness the full potential of AI. And this is just the beginning. We are continually innovating to redefine the boundaries of what AI can achieve.