A Qlik®, global company in data integration, data quality, analytics, and artificial intelligence (AI), announced the general availability of Qlik Trust Score™ for AI, a leading industry innovation developed to help organizations assess whether data is truly ready for AI, even before reaching a model. Integrated into Qlik Talend Cloud®, Qlik Trust Score for AI features a score created specifically for AI dimensions, helping customers establish the necessary data foundations for responsible and scalable Artificial Intelligence.
As companies accelerate the adoption of AI, many face a significant blind spot: they do not know if the data feeding their models is reliable or suitable for this purpose. Qlik Trust Score for AI solves this problem with a unique and intuitive score that shows teams where data confidence breaks. This helps prevent biases, deviations, or incorrect outcomes.
“Most companies still treat data reliability as an IT hygiene issue. But it’s not. It is the foundation of every AI decision a company makes,” says Drew Clarke, Executive Vice President of Product and Technology at Qlik. “If you can’t measure data confidence, you’re playing with outcomes, compliance, and customer experience. With Qlik Trust Score for AI, we are providing leaders with a real signal, not just a subjective perception, that their data is fit for purpose. This is how you close the gap between AI ambition and impact.”
The Qlik Trust Score for AI is based on the original Qlik Trust Score framework, introducing three new dimensions specifically created to assess readiness for AI:
– Diversity: measures the representativeness and balance of data, helping reduce bias in AI training.
– Timeliness: captures the most up-to-date data flowing into AI models, ensuring relevance for more precise decision-making.
– Accuracy: flags values that do not adhere to user-defined business rules or unreliable quality expectations that may compromise organizational trust in AI.
Combined with existing metrics like Identification and Usage Capability, the Qlik Trust Score for AI provides a practical way to validate datasets for use in AI training, RAG pipelines, or intelligent automations, with Security and LLM Readiness dimensions on the way.
As part of Qlik’s vision for data quality and governance for AI initiatives, the company is also rolling out additional features, including historical tracking of the Qlik Trust Score, which allows users to monitor trends over time and correlate changes in confidence levels and the subsequent impacts, such as model deviations or performance degradation.
In addition, Qlik will launch an early access program for a native AI-driven data curation experience in Qlik Talend Cloud, aimed at proactively detecting and resolving data issues early in the lifecycle. With a planned release in the second half of this year, this feature will combine automated rules, workflow with human intervention, and governance across the platform. This enables data teams and AI personas to collaborate more effectively in correcting data quality.
“AI initiatives still fail at an alarming rate — only a fraction succeed in delivering value at enterprise scale,” said Ritu Jyoti, Vice President and Group General Manager for AI, Automation, Data, and Analytics at IDC.
“The missing link is not the model; it’s the data. Without visible metrics for data trust, organizations are at risk of costly failures, uncontrolled biases, and stagnant adoption. A unified confidence signal, like Qlik’s Trust Score for AI, gives teams the concrete insight they need to make AI reliable and replicable.”
“Reworld is one of many Qlik customers focused on operationalizing trust in their AI strategy. The hardest part of AI is rarely the model. It’s trusting the data behind it. In our business, if we can’t guarantee the data, we can’t guarantee the decisions,” said Charles Link, Senior Director of Data and Analytics at Reworld. “A clear and continuous signal that the data is truly ready for AI sets a new standard. It moves trust out of the shadows and into the heart of the conversation, where it belongs.”
According to a recent survey by Qlik, only 42% of executives express total and auditable confidence in AI-generated insights, although nearly 90% say AI is now a central part of their competitive strategy. The Qlik Trust Score for AI fills this confidence gap with an objective and repeatable framework that aligns with emerging governance standards.
Qlik is the first company to embed a specific unified trust signal for AI directly into the data pipeline. It combines measurement, monitoring, and remediation into a single experience. The Qlik Trust Score for AI is already available to all customers of the Qlik Talend Cloud Enterprise plan.
