Nearly 60% of DBTA subscribers were actively researching GenAI with LLMs, including RAG and knowledge graphs, in the first quarter of 2025. And when asked which technologies will deliver the greatest value over the next five years, GenAI was the top choice.
AI technologies are enhancing technology portfolios, reshaping data architecture, and elevating modernization from a competitive advantage to an essential business requirement. To build integrated AI-enabling infrastructure stacks, organizations are evaluating and adopting a variety of supporting components.
In this on-demand session, we’ll explore the technologies that collectively enable the diverse data integration, contextual understanding, and flexible processing capabilities AI requires. These include semantic layers and unified data layers, data lakehouses, and data fabric, as well as active metadata and data catalogs. You’ll get a deeper look at the AI trends and technologies paving the road ahead.
This DBTA roundtable discussion covers:
- The future of cloud, hybrid, and edge models – balancing cost, agility, and scale
- Emerging data architectures built for real-time and unstructured data
- The rise of semantic layers and unified data layers for AI enablement
- Making data discoverable, trusted, and AI-ready
SPEAKERS:
Eric Carr, Lead Partner Sales Engineer, Fivetran
Bharath Vasudevan, Vice President of Product and GTM, Quest Software
Ronen Schwartz, CEO, K2view
MODERATOR:
Stephen Faig, Research Director, Unisphere Research and DBTA