The integration of Generative AI into modern data architectures is transforming how enterprises store, process, and leverage data at scale. By aligning advanced AI models with robust, scalable architectures, organizations can unlock unprecedented automation, adaptability, and analytical power. This session explores the key technical patterns, frameworks, and optimization strategies that drive this next generation of data ecosystems.
Join this session and learn more about:
- Leveraging vector databases, data pipelines, and model orchestration for seamless Gen AI integration
- Designing scalable, low-latency data architectures optimized for AI-driven workloads
- Applying real-time data processing and knowledge graph enrichment to enhance AI outputs
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