AI applications do not run on models alone. They run on timing. A support copilot, fraud system, recommendation engine, or AI ...

Elastic is mispriced as a legacy log tool, despite being critical infrastructure for enterprise AI and security workloads.

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features ...

Independent benchmark by McKnight Consulting Group reveals EDB Postgres AI for WarehousePG delivers up to 58% cost savings and more consistent concurrent performance, while new platform features ...

Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI Database, enabling AI agents to securely access enterprise data where it already exists, rather than requiring ...

I lead work across partnerships, business development and data, with a focus on strategy, impact and decision making.

TL;DR: KIOXIA's AiSAQ technology, combined with NVIDIA's cuVS Library, enables efficient scaling of high-dimensional vector searches to 4.8 billion vectors on a single server, achieving up to 20X ...

In this tutorial, we build an elastic vector database simulator that mirrors how modern RAG systems shard embeddings across distributed storage nodes. We implement consistent hashing with virtual ...

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