Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence, is releasing Qlik Trust Score for AI, an innovation designed to help organizations assess whether data is ready for AI, before it ever reaches a model.
Included within Qlik Talend Cloud, the Qlik Trust Score for AI introduces purpose-built scoring across AI-specific dimensions, helping customers establish the data foundations needed for responsible, scalable AI, according to the company.
Qlik Trust Score for AI offers a single, intuitive score that shows teams where trust breaks down to help prevent bias, drift, or faulty outcomes from taking hold.
“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. That’s how you close the gap between AI ambition and AI impact.”
Qlik Trust Score for AI builds upon Qlik’s original Trust Score framework by introducing three new dimensions purpose-built for AI readiness:
- Diversity: Measures how representative and balanced the data is, helping to reduce bias in AI training.
- Timeliness: Captures the freshness of data flowing into AI models, ensuring relevance for more accurate decision-making.
- Accuracy: Flags values that fall outside user-defined business rules or unreliable quality expectations that can erode organizational trust in AI.
Combined with existing metrics such as Discoverability and Usage, Qlik Trust Score for AI offers a practical way to validate datasets for use in AI training, RAG pipelines, or intelligent automation, with Security and LLM Readiness dimensions to follow.
As a part of Qlik’s “vision for data quality and governance for AI initiatives,” Qlik is also rolling out additional features, including Qlik Trust Score historization, which allows users to monitor trends over time and correlate shifts in trust with downstream impacts, including model drift or performance degradation.
In addition, Qlik will also roll out an early access program for an AI-native Data Stewardship experience within Qlik Talend Cloud, aimed at proactively detecting and resolving data issues earlier in the lifecycle.
Targeted to launch this fall, this capability will combine automated rules, human-in-the-loop workflows, and platform-wide governance. This enables data teams and AI personas to collaborate more effectively on data quality remediation, the company said.
Qlik Trust Score for AI is now generally available to all Qlik Talend Cloud Enterprise Edition customers.
For more information about this news, visit www.qlik.com.