Latest news with #QlikTrustScore™
TECHx
3 days ago
- Business
- TECHx
Qlik Trust Score for AI Now Available in Talend Cloud
Home » Tech Value Chain » Global Brands » Qlik Trust Score for AI Now Available in Talend Cloud Qlik®, a global in data integration, data quality, analytics, and artificial intelligence, has announced the general availability of Qlik Trust Score™ for AI. This innovation is now included within Qlik Talend Cloud®. It helps organizations assess whether data is truly ready for AI before it reaches a model. The Qlik Trust Score for AI introduces purpose-built scoring across AI-specific dimensions. It is designed to help companies establish strong data foundations for responsible and scalable AI. As AI adoption grows, many businesses face a critical challenge they don't know if the data feeding their models is trustworthy. Qlik's solution addresses this by offering a single, intuitive score that reveals where data trust breaks down. This helps prevent bias, drift, and faulty outcomes. Drew Clarke, EVP of Product and Technology at Qlik, stated, '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.' He added that without the ability to measure trust, organizations are gambling with outcomes, compliance, and customer experience. The Qlik Trust Score for AI provides a real-time signal that data is fit for purpose. This tool builds on Qlik's existing Trust Score framework with three new AI-focused dimensions: Diversity: Measures representativeness and balance to reduce training bias. Timeliness: Assesses freshness of data for relevant decision-making. Accuracy: Flags values that break business rules or lack reliability. These features combine with metrics like Discoverability and Usage. The solution supports AI training, Retrieval-Augmented Generation (RAG) pipelines, and intelligent automation. Security and LLM Readiness metrics are expected in future updates. Qlik also revealed plans for Trust Score historization, enabling users to track trends over time. This helps correlate trust shifts with issues like model drift or performance drops. In addition, Qlik reported an early access program for an AI-native Data Stewardship experience in Qlik Talend Cloud. Launching this fall, the feature aims to detect and resolve data issues earlier. It will include automated rules, human-in-the-loop workflows, and platform-wide governance. Ritu Jyoti, Group VP/GM at IDC, noted that many AI initiatives fail because of untrustworthy data. 'Without visible metrics for data trust, organizations risk costly failures and stalled adoption,' she said. Charles Link, Senior Director of Data and Analytics at Reworld, emphasized that trust in data is critical. 'The hardest part of AI is rarely the model. It's trusting the data behind it,' he said. A recent Qlik survey revealed only 42% of executives fully trust AI-generated insights, despite nearly 90% seeing AI as vital to their strategy. Qlik Trust Score for AI helps bridge this trust gap with an objective and repeatable framework. It aligns with emerging governance standards. Qlik is the first to deliver a unified, AI-specific trust signal directly into the data pipeline. It integrates measurement, monitoring, and remediation in one platform. The feature is now generally available for Qlik Talend Cloud Enterprise Edition customers.
Business Wire
4 days ago
- Business
- Business Wire
Qlik Releases Trust Score for AI in Qlik Talend Cloud
PHILADELPHIA--(BUSINESS WIRE)-- Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced the general availability of Qlik Trust Score™ for AI, an industry-leading innovation designed to help organizations assess whether data is truly 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. As enterprises accelerate AI adoption, many face a fundamental blind spot: they don't know if the data feeding their models is trustworthy or fit for purpose. Qlik Trust Score for AI solves that problem with a single, intuitive score that shows teams where trust breaks down. This helps 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 like 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. 'AI initiatives are still stumbling at alarming rates—only a fraction succeed in delivering enterprise-scale value,' said Ritu Jyoti, Group VP/GM, AI, Automation, Data and Analytics at IDC. '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. A unified trust signal like Qlik's Trust Score for AI gives teams the concrete insight they need to make AI reliable and repeatable.' 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 stand behind the data, we can't stand behind the decisions,' said Charles Link, Senior Director of Data and Analytics at Reworld. 'A clear, continuous signal that tells you whether data is truly ready for AI creates a new standard. It brings trust out of the shadows and into the conversation, where it belongs.' According to a recent Qlik survey, only 42% of executives express full, audit-ready trust in AI-generated insights, even though nearly 90% say AI is now core to their competitive strategy. The Qlik Trust Score for AI bridges this trust gap with an objective, repeatable framework that aligns to emerging governance standards. Qlik is the first to bring a unified, AI-specific trust signal directly into the heart of the data pipeline. It combines measurement, monitoring, and remediation within one experience. Qlik Trust Score for AI is now generally available to all Qlik Talend Cloud Enterprise Edition customers. To learn more, please visit our website. About Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. © 2025 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.
Zawya
17-03-2025
- Business
- Zawya
Qlik named a leader in the 2025 Gartner Magic Quadrant for augmented data quality solutions
United Arab Emirates, Dubai - Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced its recognition as a Leader in the 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions, marking its sixth time receiving this recognition. Qlik sees this recognition as a validation of its commitment to helping businesses ensure the data quality and governance needed to drive AI confidently at scale. "With AI models increasingly commoditized, the true differentiator is data quality," said Mike Capone, CEO, Qlik. "Companies that invest in governance and integrity will extract the most value. This recognition from Gartner validates what we see—AI success depends on trusted data." AI models require consistent, complete, and trusted data to generate accurate insights, yet many organizations struggle with gaps, inconsistencies, and unstructured inputs that undermine AI's effectiveness. Poor data results in unreliable models, biased predictions, and heightened operational risk. "Organizations need more than standalone data quality tools—they need a complete data strategy that ensures integrity at every stage," said Drew Clarke, GM & EVP, Data Business Unit, Qlik. "Qlik Talend Cloud enables enterprises to embed trust into their data, analytics, and AI workflows, turning fragmented data into a reliable asset." By enabling proactive, governed data pipelines, Qlik ensures AI systems operate with high-trust data from the start, allowing businesses to scale AI with confidence. AI is driving demand for next-generation data quality solutions that go beyond basic cleansing. With innovations like the Qlik Trust Score™ for AI, retrieval-augmented generation (RAG) support, and automated data remediation, businesses can move from reactive fixes to continuous, AI-powered data optimization. Key Capabilities of Qlik: Qlik Trust Score for AI: Assesses data readiness for AI applications, ensuring reliable and explainable outputs. Hybrid and Multi-Cloud Deployment: Ensures consistent quality across diverse environments. Unstructured Data Processing: Converts raw, unstructured content into actionable insights, ensuring seamless connectivity. Automated Remediation: Machine learning refines quality rules over time, reducing manual effort. Data Products: Ensuring that curated data assets are easily accessible to data consumers to accelerate their use-cases, including AI projects. "Trusted data is critical to our operations, from regulatory reporting to daily decision-making," said Tomohisa Nakajima, Senior Manager, ICT Strategy Department, at NEC Personal Computer Corporation. 'As we explore AI, ensuring data quality and governance allows us to do so responsibly and with confidence. Qlik Talend Cloud will help us automate data quality, reduce inconsistencies, and build a foundation of trust that supports both our current needs and future AI initiatives.' "We're seeing an increasing demand from businesses that recognize AI's potential but struggle with data reliability," added Clarke. "Qlik's ability to deliver converged data management—from ingestion to AI-powered insights—sets us apart and ensures organizations can scale AI initiatives with confidence." AI success starts with trusted data. A complimentary copy of the Gartner Magic Quadrant for Augmented Data Quality Solutions will be available for download here on Wednesday, March 12. Gartner, Magic Quadrant for Augmented Data Quality Solutions, Melody Chien, Divya Radhakrishnan, Sue Waite, 10 March 2025 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. Media Contact: Qlik@ © 2025 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.
