Prerequisite: None
Self-service business intelligence, analytics, and search tools and services have long played a critical role in democratizing data interaction and empowering a spectrum of users to solve business problems and innovate with data. Today, self-service capabilities are enabling users to work independently and in a more automated fashion to also develop data pipelines, access data through virtualization layers, and tap data intelligence in data catalogs and related systems.
Generative AI is shaking up the world of self-service. Users want to employ generative AI to expand natural language querying and search capabilities and streamline the development and sharing of actionable data insights. Generative AI is part of a broader trend toward AI augmentation in self-service tools, including through recommendation engines and chatbots.
Organizations are under pressure to realize the benefits of AI-infused self-service capabilities while also ensuring effective enterprise data governance, data curation, and data management. This session will discuss the latest TDWI research into trends, challenges, and strategies.
Topics will include:
- The impact of generative AI on self-service BI, analytics, data pipeline development, and data management
- Balancing AI-infused self-service capabilities with data governance
- The role of data catalogs and other data intelligence systems in data governance and in making it easier for diverse users to locate critical data