Qlik has released the Qlik Trust Score for AI in Qlik Talend Cloud, designed to help organisations assess whether data is truly ready for AI, before it ever reaches a model.
It introduces purpose-built scoring across AI-specific dimensions to help customers establish the data foundations needed for responsible, scalable AI.
“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
The solution claims to build upon Qlik’s original Trust Score framework by introducing three new dimensions purpose-built for AI readiness, including diversity, timeliness, and accuracy.
It also combines discoverability and usage to validate datasets for use in AI training, RAG pipelines, or intelligent automation, with security and LLM Readiness dimensions to follow.
New features
Qlik is also rolling out additional features, including Qlik Trust Score historization, to enable the monitoring of trends over time and correlate shifts in trust with downstream impacts, such as model drift or performance degradation.
Qlik will also roll out an early access program for an AI-native Data Stewardship experience within Qlik Talend Cloud, designed to proactively detect and resolve data issues earlier in the data lifecycle.
