Unified Infrastructure for Vector Search, AI-Optimized Queries, and Hybrid Workloads

AI is reshaping data infrastructure. As vector search, semantic retrieval, and hybrid workloads move into production, databases are evolving from passive storage systems into intelligent platforms built for real-time, context-aware applications. The challenge now? Supporting AI-native workloads while balancing scalability, performance, and operational efficiency.

In this DZone Trend Talk, we’ll unpack the key themes from our latest report and explore how organizations are modernizing databases, pipelines, and analytics into unified systems designed for intelligent data operations. 

Discussion topics will include:

• AI-native database architectures and multi-model systems

• Vector search, semantic indexing, and contextual retrieval

• Hybrid workloads spanning OLTP, OLAP, and real-time analytics

• AI-optimized queries, autonomous tuning, and intelligent performance optimization

• Real-time pipelines, DataOps, and observability across modern data stacks

Join fellow technology leaders and practitioners for a candid, peer-driven conversation focused on how modern teams are preparing data infrastructure for AI-driven applications and hybrid workloads.