SIGN UP HERE TO ATTEND 👉 [https://luma.com/7kqyiejv](https://luma.com/7kqyiejv) *** Hi new friends and old! Pull up a chair, it's fireside chat time! 🔥 Everyone's building with AI, but what actually happens once it leaves the demo and meets real users? We've gathered three seasoned folks who've been there to tell us honestly: the wins, the war stories, and the things they wish they'd known sooner. 📍 We're very grateful to **Quantspark** for kindly hosting us at their venue for the evening! **🎙️ AI with Production Data: Hype vs Reality** A relaxed, honest conversation (no slides, no sales pitches!) covering: * 🚀 **Getting it live:** what it really takes to go from prototype to production * 💥 **When it breaks:** surprising failures, and how they caught them * 📏 **Knowing it works:** testing, evaluation and keeping quality up over time * 💷 **Worth it?:** costs, trade-offs, and when *not* to use AI at all Then it's over to you: bring your burning questions for the Q&A! 🙋 **👥 Meet the speakers** **Constantin Petrescu PhD**, *Machine Learning Engineer Lead at Hurdle* Currently developing an AI-powered Health Insights Engine for healthcare companies to autonomously review personalised health risk scores for patients and prevent diseases. **Nnamdi Odozi**, *Actuarial AI Strategist at AvE Consulting* Works where actuarial science meets machine learning. Has built and deployed AI-driven actuarial, investment and risk models for pension schemes and insurers. **Troy Culley**, *Data & Analytics Manager at FMCG* Pricing and experimentation specialist. Has built demand-forecasting models, dynamic pricing and large-scale A/B testing programmes that delivered multi-million-pound revenue gains. **Hosted by DL Lim**, *Founder and Organiser of The Friendly Data Meetup* During the day, DL specialises in deploying production-grade data platforms, agentic AI and analytics solutions specifically for actuarial applications in the insurance industry, through his independent consultancy, Luno

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