Bernard Kavanagh

Bernard Kavanagh is Principal Solutions Architect (EMEA) at TiDB, a distributed database company focused on real-time analytics and AI infrastructure. He specialises in high-performance data systems and helps organisations move from fragmented data stacks to unified platforms that can support modern AI and agentic workflows.

At TiDB, he works on “Agent-First” memory stores that combine vector search, hybrid SQL, and real-time analytics in a single platform, aiming to reduce the complexity and cost of multi-service AI stacks. His production experience includes building a real-time multi-agent platform for 200,000+ IoT devices that significantly cut infrastructure costs and LLM token usage while improving diagnostic accuracy.

His profile is especially relevant for sessions on AI infrastructure, real-time data systems, agentic AI architectures, vector databases, and the practical challenges of scaling AI applications in production.