
Harnessing AI in Capital Markets Engineering
Two talks cover AI-augmented engineering, with live demonstrations involving Q analytics and the Maude model checker, followed by time for questions, food, drinks and networking.
AI summary · From the event listing
November 12, 2026 · 6 PM – 9 PM
2 Pear Tree Court, 2 Pear Tree Ct, London ·
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See live demonstrations of AI-assisted engineering and analytics in Q and Maude, with two talks and time for questions.
AI · From the event listing
Organizer’s description
Correctness and precision in AI-augmented engineering featuring Jonny Press (CTO, Data Intellect) and Tom Dellmann (Director of Engineering, Chronicle). Doors at 6pm for a 6:30 start, two talks with time for questions, then food, drinks and networking. Jonny Press, Data Intellect Data Intellect is a consultancy built around KDB+ and Q, the high-performance database and language behind real-time analytics. Jonny is its CTO and has worked in the language his whole career, coming up through First Derivative and KX. He'll make the case for Q in the age of AI. Coding models tend to churn out pages of code, but Q's terse primitives do more with less: less to read, review and explain to a regulator. Expect a live demo of analytics that are trivial in Q and awkward in SQL. Tom Dellmann, Chronicle Software Chronicle makes low-latency software for capital markets: messaging, FIX engines and the trading systems built on them. Tom is Director of Engineering and has stayed hands-on, leveraging AI to stay in contact with the code. He'll resurrect Maude, an academic model checker he last grappled with at university, now made approachable with Claude. He'll live-demo using it to find real issues, including in Chronicle's own open source projects.
Clerkenwell
Hosted by Capital Markets Engineering London
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