Sharad Kumar

Explore how to build use case-specific data products designed to power everything from traditional BI dashboards to machine learning and LLM-enabled applications. Gain an understanding of what data products are and why they are essential for delivering AI-ready data that is integrated, timely, high-quality, secure, contextual, and easily consumable. Discover strategies for unlocking business data from source systems to enable analytics and AI use cases, with a deep dive into the three-tiered data product architecture: the Data Product Engineering Plane (where data engineers ingest, integrate, and transform data), the Data Product Management Plane (where teams manage the full lifecycle of data products), and the Data Product Marketplace Plane (where consumers search for and use data products). Discover how a flexible, composable data architecture can support organizations at any stage of their data journey and drive impactful business outcomes.

This session showcases real-world customers following a blueprint for AI success developed by Qlik and Accenture. Learn about building real-time AI data pipelines from structured and unstructured sources and creating a trusted data foundation with continuous verification of AI data readiness and automated remediation.