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In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies will deliver the greatest value to their organizations over the next five years, GenAI emerged as the resounding top choice.
Right now, AI technologies are not just enhancing existing technology portfolios – they are reshaping how organizations think about modern data architecture, 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 that collectively enable the diverse data integration, contextual understanding, and flexible processing capabilities required. These include semantic layers and unified data layers, data lakehouses, and data fabric, as well as active metadata and data catalogs.
To dive into the key technologies and trends paving the road ahead, DBTA is hosting a special roundtable webinar on December 4th that will dive into:
- 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
Reserve your seat today!
Register Now to attend the webinar What's Ahead in Data Architecture for 2026. Don't miss this live event on Thursday, December 4, 11 AM PT / 2 PM ET.
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