Prerequisite: None
This session will include a moderated Q&A featuring questions from the live audience.
Organizations today are competing on how well they can build and extend the data foundation to support growth in AI, enriched user experiences with self-service BI and analytics, and more intelligent business applications and processes. All types of business objectives hinge on having a smart, agile, and scalable data foundation, from improving customer insights and engagement to streamlining collaboration inside and outside organizations. Broad and rapid adoption of generative AI is also a huge change agent.
Intensified data demands are driving organizations at all levels of maturity to modernize data management, data integration, data quality processes, data governance, and observability. In this session, TDWI Research Fellow David Stodder will look ahead to discuss important technology and best practices trends, directions, and priorities in these areas.
In this session, David Stodder will discuss:
- Strategies for aligning data management with business demands and maximizing data value
- Modernization trends in data integration to improve efficiency, increase user satisfaction, and meet the requirements of AI-infused application development
- How data intelligence is evolving to serve the range of today’s users as well as intelligent applications