Organizations have lots of untapped unstructured data, generated over time to deliver value. However, little of this data finds its way to inform the decisions being made. By unlocking the many sources of unstructured data customers possess and using this to answer questions semantically, accessible data can inform everyone within an organization. This session will demonstrate how Qlik can help you unlock the full potential of your unstructured data to answer questions and provide insight that drive impactful business decisions.

Qlik Cloud Data Integration provides end-to-end data pipelines for cloud data warehouse and lakehouse environments. From CDC-based data ingestion to code or no-code transformations and automated data mart patterns, it provides a comprehensive set of capabilities for ELT data pipelines. In this session, you will learn about recently released features for Qlik Cloud Data Integration like no-code transformation flow, Al text to SQL, SaaS application ingestion, data lineage, and more.

Organizations struggle to leverage the full potential of their data for diagnostic and predictive insights. Qlik AutoML provides an end-to-end workflow for solving problems and delivering operational value through predictive analytics and Machine Learning. This session will explore the value and opportunity that AutoML offers to customers and how the next generation of capabilities can empower everyone (not just the data scientists) to deliver high-quality, predictive, and explainable insights faster.

Data-driven organizations want a robust approach to unleash their data's full potential. Enter the data product revolution-a paradigm shift in how organizations should think about harnessing their data assets to drive business success. Data products represent a unique solution, delivering high-quality, domain-centric data that is readily accessible and trusted across the organization. Join this session to gain a comprehensive understanding of what data products are and how they can be effectively implemented to align stakeholders, enhance data accountability, reduce total cost of ownership (TCO), and accelerate solution implementation to maintain a competitive edge in today's data-driven marketplace.