The “Chatbot” era of AI is over. For technologists in Financial Services, the real challenge is not writing a prompt. It is orchestration, security at scale, and integrating AI into complex, business-critical systems.
Join Faculty and the Data Science Festival for our final in-person meetup before the summer break. This evening is designed specifically for practitioners building production AI systems and navigating the realities of deploying GenAI in regulated environments.
We are stripping away the hype and taking a practical look at the architectural challenges, lessons learned, and engineering decisions involved in moving AI from proof of concept to production. Through two technical talks and a panel discussion, we will explore how organisations are building secure, scalable, and reliable AI systems that can operate in the real world.
What we’ll explore:
• Scaling the Haystack: The engineering reality of processing thousands of sensitive documents for retrieval.
• Claims Without the Hallucinations: A masterclass in LLM orchestration and deterministic outputs in production-grade environments.
• The Autonomous Underwriter: How do you integrate GenAI agents into legacy insurance systems without breaking the business? Our panel will explore the practical challenges, lessons learned, and future opportunities of bringing agentic AI into complex enterprise environments.
No fluff. No “AI will change the world” introductions. Just senior practitioners, technical discussions, real-world architecture challenges, and a few drinks to facilitate the “how did you actually solve that?” conversations.
Food, drinks, and networking with fellow practitioners will be available throughout the evening.
Who is this for?
This event is curated for Senior and Lead Machine Learning Engineers, Software Engineers, DevOps Engineers, Data Architects, and Applied Scientists.
While many of the examples and case studies will come from Financial Services and Insurance, the engineering challenges, architectural patterns, and lessons learned will be relevant to anyone building production AI systems at scale.
Whether you are deploying LLMs, building retrieval systems, integrating AI into legacy environments, or trying to move from proof of concept to production, this event is designed for practitioners looking to move beyond experimentation and into real-world deployment.
Location: Accenture, 30 Fenchurch Street, London, EC3M 3BD
Please note: Due to limited venue capacity, tickets for this event will be allocated via a ballot. Submitting an application does not guarantee entry.
Session details and speaker information will be announced shortly.
Schedule:
6:00 PM – Doors open – networking with food and refreshments
6:45 PM – Intro
6:50 PM – Talk 1 (including Q&A)
7:10 PM – Talk 2 (including Q&A)
7:30 PM – Short comfort break
7:40 PM – Panel discussion
8:20 PM – Networking with refreshments
9:00 PM – Event close
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