{"id":34709,"date":"2026-08-28T02:31:30","date_gmt":"2026-08-28T09:31:30","guid":{"rendered":"https:\/\/www.pingcap.com\/?post_type=event&p=34709"},"modified":"2026-09-04T07:36:03","modified_gmt":"2026-09-04T14:36:03","slug":"join-tidb-and-aws-in-london","status":"publish","type":"event","link":"https:\/\/www.pingcap.com\/ko\/event\/join-tidb-and-aws-in-london\/","title":{"rendered":"Join TiDB and AWS in London!"},"content":{"rendered":"

Date<\/strong>: September 24, 2026<\/p>\n\n\n\n

Time<\/strong>: 5:00 PM – 7:30 PM<\/p>\n\n\n\n

Location<\/strong>: AWS Office London<\/a><\/p>\n\n\n\n

AI has crossed from demos into production to agents that remember, reason, and act over time. That shift moves the hard problem off the model and onto the data layer. Durable memory, real-time context, retrieval, and per-tenant isolation now have to work at scale, in one system.<\/p>\n\n\n\n

Spend an evening with AWS and TiDB working through that shift together. AWS brings the platform and the market view. TiDB brings the data layer built for this problem: distributed SQL that scales without sharding, HTAP on live data, and native vector search with durable state for agent memory, running on AWS alongside Bedrock and AgentCore. One foundation carries the transactional scale you need today and the agentic scale you’ll need tomorrow, so you don’t re-platform to get from one to the other.<\/p>\n\n\n\n

Moonshot AI’s Kimi proves it in production, running tens of millions of isolated agent tenants on TiDB with each one provisioned in under a second. What the frontier does first, the market does next.<\/p>\n\n\n\n

You’ll leave with a market map of where AI value is real, an architecture you can apply to your own workload, and a read on the demand curve heading your way. <\/p>\n\n\n\n

Programme<\/strong><\/p>\n\n\n\n

17:00 \u2014 Arrival, drinks, and networking
17:30 \u2014 Welcome and framing
17:35 \u2014 The future of Agentic AI, Christopher Jen, AWS
17:55 \u2014 The Agentic Data Layer on AWS: TiDB and AWS, Architecturally. Bernard Kavanagh, TiDB
18:15 \u2014 Lessons from the Frontier: Inside the Kimi Build, and What APAC Signals Next. Siddon Tang, TiDB
18:35 \u2014 Fireside Q&A with all three speakers
18:50 \u2014 Beer and finger food<\/p>\n\n\n\n

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\"\"<\/figure>\n<\/div>\n\n\n\n
\n

Christopher Jen, EMEA GTM for Agentic<\/strong> at AWS<\/strong><\/p>\n\n\n\n

Chris Jen leads Go-To-Market for Agentic AI across EMEA at AWS (WWSO). He helps enterprises move agents from demo to production while focusing on governed, observable, and identity-aware with Amazon Bedrock AgentCore.\u00a0Previously, Chris drove GTM for AWS Edge Services, where he helped grow the business from $300M to $1B and launched the AgentCore payments capability.\u00a0<\/p>\n<\/div>\n<\/div>\n\n\n\n

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\"\"<\/figure>\n<\/div>\n\n\n\n
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Bernard Kavannagh<\/strong>, Principal Solutions Architectm Applied AI, TiDB<\/strong><\/p>\n\n\n\n

Bernard is a Principal Solutions Architect focused on Applied AI, designing production architectures for agentic and AI-native workloads. He turns the TiDB + AWS joint value into reference patterns engineering teams can actually deploy \u2014 collapsing the transactional database, vector store, cache and analytics stack into one engine on AWS, and showing where it fits for payments, multi-tenant SaaS, real-time risk and agentic features.
<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Siddon Tang<\/strong>, Chief AI Officer & GM, APAC, TiDB<\/strong><\/p>\n\n\n\n

Siddon is one of the foundational engineers behind TiDB and the creator and long-time lead of TiKV, its distributed storage engine and a CNCF-graduated project. Across a decade building TiDB he has become one of the most recognized voices in distributed databases and the Rust systems community. As Chief AI Officer and GM of APAC he now leads TiDB\u2019s AI direction and its work with frontier AI companies \u2014 including Moonshot AI\u2019s Kimi agent-hosting platform, one of the largest agentic workloads in the world
<\/p>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

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