Expert Panel: Engineering the Future: Architecting Scalable Data Platforms for AI and Analytics
Webinar Speaker: TBD
Date: Monday, December 7, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As AI and analytics workloads intensify, data platforms must evolve to deliver scalability, speed, and intelligence. Data lake and data warehouse tiers need to be more integrated, if not unified. Organizations require strategies for reducing data engineering complexity and overcoming performance delays often caused by data silo proliferation. At the same time, to achieve goals of becoming AI- and analytics-driven, modern data architectures must deftly balance business domain flexibility with enterprise governance.
Join this Expert Panel to learn how to take advantage of innovations in modern data architecture. Through case studies, you will hear real-world examples of how leading organizations are evolving their data platforms to drive growth and resilience. Panelists will discuss how unified data platforms support cross-domain collaboration and continuous improvement. Panelists will also explore options such as composable platforms, modular integration, and cloud-native data services. Topics include:
- Strategies for running development of AI, analytics, and data-rich applications directly on top of unified data platforms rather than using separate systems
- The importance of unified data platforms for reducing data movement and easing the complexity of cleansing and transforming data
- How to enhance the role of metadata-based knowledge in your data environment to support AI and analytics
Date: December 7, 2026
Time: 9:00 am PT