Prerequisite: None
Amid today’s constant change and intense competition to maximize the potential of all types of data through AI and advanced business analytics, organizations are often hamstrung by legacy data strategies, architectures, and foundations. Users need more than traditional BI and data warehousing. Developers of data- and analytics-rich applications need faster data access and new search capabilities that deliver actionable insights from a broader range of data. Organizations are frustrated by data silos and “the way we’ve always done it” divisions between different types of data and content systems.
In this keynote presentation, TDWI research fellow David Stodder will examine trends and directions important to creating a modern data strategy that is in tune with today’s requirements, especially those driven by development and deployment of AI, large language models, and AI-augmented BI and business applications.
Stodder will address:
- How AI and broad user demands for complete and flexible data access are changing data strategies for architecture, integration, and platforms
- The growing importance of semantic layers, metadata, data catalogs, and data intelligence
- Apache Iceberg’s impact on modern data strategies