Apache Iceberg has become the most popular, fastest-growing, and widely adopted open table format in the big data space. Hear from (and ask your questions to!) some of the key partners leading the Iceberg roadmap and enhancements. AGENDA: Apache Iceberg for BI use cases.

Would you like to know how to manage your workloads efficiently? Are you interested in learning how to share the slots across different workloads/projects?

You can now deliver AI-generated, natural language insights directly on sheets in Qlik Sense. With our new natural language object, you can include narrative interpretations and readouts for any context, such as an overall sheet, a group of visualizations, or an individual visualization. This capability allows all Qlik Sense users to benefit from NLG when exploring in dashboards, boosting data literacy and driving improved data storytelling.

Data management is fundamental to every application. Managing this precious asset is an essential competency in modern businesses of every sort. Innovations in data platforms are being adopted, and data management approaches are evolving rapidly to keep pace. Increasingly, enterprises are converging their data warehouse, data lake, and other data management platforms onto distributed cloud-native infrastructures. As more types of data are consolidated into their platforms, enterprises implement more scalable DataOps pipelines and more comprehensive governance practices to manage it all.

This episode features an interview with Dr. Kelly Hereid, Director of Catastrophe R&D at Liberty Mutual Insurance in the Corporate Enterprise Risk Management Group. Prior to Liberty Mutual, Kelly was a research scientist at Chubb in their primary side natural catastrophe unit. She has a Ph.D. in geological sciences from the University of Texas – Austin, focusing on climate science. On this episode, Kelly talks about using historical data to create catastrophe models, taking a strategic standpoint to invest in resiliency, and reducing vulnerability to changing hazards.