A Qlik®, a 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 the data is truly ready for AI, even before reaching a model. Integrated into Qlik Talend Cloud®, the Qlik Trust Score for AI provides a score specifically created for particular AI dimensions, helping clients establish the necessary databases for responsible and scalable Artificial Intelligence.
As companies accelerate AI adoption, many face a significant blind spot: they don't know if the data fueling their models is reliable or suitable for that purpose. The Qlik Trust Score for AI solves this problem with a single, intuitive score that shows teams where their confidence in the data breaks down. This helps prevent biases, deviations, or incorrect results.
"Most companies still treat data reliability as an IT hygiene issue. But it is not. It is the foundation of all AI decisions a company makes," says Drew Clarke, Executive Vice President of Product and Technology at Qlik. If you can't measure confidence in the data, you're betting with the results, 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 the gap between AI ambition and impact is closed.
The Qlik Trust Score for AI is based on the original Qlik Trust Score framework, introducing three new dimensions specifically designed to assess AI readiness:
– Diversitymeasures the representativeness and balance of the data, helping to reduce bias in AI training.
– Punctualitycaptures the most up-to-date data flowing into AI models, ensuring relevance for more accurate decision-making.
– Precisionindicates values that do not conform to the business rules defined by the user or unreliable quality expectations that may compromise organizational trust in AI.
Combined with existing metrics such as Identification and Usage Capacity, the Qlik Trust Score for AI provides a practical way to validate datasets for AI training, RAG pipelines, or intelligent automations, with dimensions of Security and Readiness for LLMs on the way.
As part of Qlik's vision for data quality and governance for AI initiatives, the company is also launching additional features, including the historization of the Qlik Trust Score, which allows users to monitor trends over time and correlate changes in the level of trust and what subsequent impacts may be, such as model deviations or performance degradation.
Additionally, Qlik will launch an early access program for an AI-native data curation experience on Qlik Talend Cloud, aimed at proactively detecting and resolving data issues early in the lifecycle. With a scheduled release for the second half of this year, this feature will combine automated rules, workflows with human intervention, and governance across the platform. This allows data teams and AI personas to collaborate more effectively in correcting data quality.
"AI initiatives still fail at an alarming rate — only a fraction manage to generate value at an enterprise scale," says Ritu Jyoti, Vice President and Group General Manager for AI, Automation, Data, and Analytics at IDC.
"The lost voice is not the model; it is the data. Without visible metrics for trust in the data, organizations face risks of costly failures, uncontrolled bias, and stagnant adoption. A unified trust signal, such as Qlik's Trust Score for AI, provides teams with the concrete insight they need to make AI trustworthy and reproducible."
"Reworld is one of Qlik's many clients 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," says 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. This brings confidence out of the shadows and into the center of the conversation, where it belongs.
According to a recent Qlik survey, only 42% of executives express full and auditable confidence in AI-generated insights, although nearly 90% say that AI is now a central part of their competitive strategy. The Qlik Trust Score for AI fills this trust gap with an objective and repeatable framework that aligns with emerging governance standards.
Qlik is the first company to incorporate a specific unified trust signal for AI directly into the data pipeline. It combines measurement, monitoring, and correction into a single experience. The Qlik Trust Score for AI is now available to all customers on the Qlik Talend Cloud Enterprise plan.
