PHILADELPHIA, PA — Qlik® has announced the general availability of its new Qlik Trust Score™ for AI, a breakthrough tool designed to help organizations ensure that data is truly ready for AI applications before it ever reaches a model. The innovation, now included within Qlik Talend Cloud®, delivers a single, intuitive score to gauge data trustworthiness, addressing a critical challenge for enterprises rapidly adopting AI technologies.
As more organizations integrate AI into decision-making, many face an often-overlooked vulnerability: unreliable or biased data feeding their models. Qlik Trust Score for AI directly tackles this problem by offering a quantifiable measure of data quality and readiness, helping prevent bias, drift, and faulty outcomes that can undermine business objectives.
“Most companies still treat data trust like an IT hygiene issue. It’s not. It’s the foundation of every AI decision a business makes,” said Drew Clarke, EVP of Product and Technology at Qlik. “If you can’t measure trust, you’re gambling with outcomes, compliance, and customer experience. With Qlik Trust Score for AI, we’re giving leaders a living signal, not a gut check, that their data is fit for purpose.”
The new Trust Score builds on Qlik’s established framework, adding three AI-specific dimensions: Diversity (measuring data balance to reduce bias), Timeliness (ensuring data freshness and relevance), and Accuracy (flagging data that deviates from quality standards). These are combined with existing metrics like Discoverability and Usage, providing a comprehensive view of data health before it enters AI pipelines.
Qlik is also introducing historization capabilities, enabling teams to track trust score trends over time and link them to model performance or drift issues. Additionally, an early access program for an AI-native Data Stewardship experience will launch this fall, combining automated checks, human-in-the-loop workflows, and platform-wide governance to identify and address data issues proactively.
The launch addresses a growing market need. A recent Qlik survey revealed that while nearly 90% of executives consider AI crucial to competitive strategy, only 42% express full, audit-ready trust in AI-generated insights.
Industry leaders see this as a critical step. Ritu Jyoti, Group VP/GM at IDC, noted that “The missing link isn’t the model; it’s the data. Without visible metrics for data trust, organizations risk costly failures, unchecked bias, and stalled adoption.”
Customer feedback echoes this sentiment. Charles Link, Senior Director of Data and Analytics at Reworld, said, “The hardest part of AI is rarely the model. It’s trusting the data behind it. A clear, continuous signal that tells you whether data is truly ready for AI creates a new standard.”
With the introduction of Trust Score for AI, Qlik sets a new benchmark for responsible, scalable AI, helping organizations bridge the gap between ambition and impact while aligning with emerging governance standards.
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