Qlik Talend Trust Score for AI with Demo

The Qlik Trust Score for AI is an innovative offering that helps establish and monitor key quality metrics for AI project data. It provides an easy-to-understand score reflecting the overall quality and trustworthiness of your AI data.

The Qlik Talend Trust Score for AI presentation at Tech Field Day Experience at Qlik Connect 2024, led by Sharad Kumar and Tim Garrod, introduced an innovative tool designed to ensure the quality and trustworthiness of AI project data. The Trust Score evaluates data across six principles: diversity, security, timeliness, consumability, accuracy, and discoverability, ensuring it is AI-ready.

Sharad Kumar emphasized the importance of a solid data foundation for AI systems, highlighting the need to prepare data meticulously. Tim Garrod demonstrated the practical aspects of data preparation, including data ingestion, transformation, cleansing, and feature engineering. The platform leverages AI capabilities to automate and accelerate data engineering tasks, such as detecting PII and recommending data quality rules.

The Trust Score for AI extends the traditional trust score concept, focusing on data diversity to prevent bias, ensuring data security, maintaining up-to-date data, making data easily consumable, ensuring data accuracy, and enabling data discoverability with appropriate business semantics.

The presentation also showcased a demo of the Trust Score for AI within Talend Studio, illustrating how it integrates AI workloads and supports various data integration scenarios. The framework captures metrics and KPIs, adaptable to different customer environments and regulatory requirements, and presents them through a customizable Qlik Sense dashboard.

Additionally, the concept of data products was introduced as a means to bridge the gap between data producers and consumers. This approach emphasizes federation and agility, with domain-specific data products managed by dedicated data product owners, ensuring accountability, trust, and lifecycle management. The presentation concluded with a discussion on the practical implementation of data products within Qlik Talend Cloud, aiming to enhance data reusability and reduce time to market.