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Data Privacy and AI – Is it Safe to Send my Data to AI models?

AI Market Briefing

Online

17th July 2025 • 13.00 - 14.00

About this session

AI offers huge potential for insurers, but getting it right demands careful thought. This session shows you what truly makes AI secure and practical for your business.

We’ll explore the critical details of secure hosting, managing data, retraining models, and building strong governance. You’ll see real-world insurance examples, learning how to put AI to work effectively while staying compliant with your company’s policies and data privacy rules.

Learning Objectives

At the end of this session, delegates will be able to:

Spot the key factors that make AI safe (or risky) for your business, including crucial details on where it’s hosted, how data is kept, and how models are updated.
Identify practical, compliant ways to use AI in your insurance workflows, backed by clear examples you can relate to.
Explain the essential steps to integrate AI responsibly, ensuring it lines up with your company’s internal rules and data privacy standards.

Nicola Turner

COO & Co-founder • Scrub AI

With over six years at Lloyd’s as a Property Underwriter and Catastrophe Modelling Assistant, Nicola knows the insurance industry inside out. She’s seen first hand the ins and outs of data management, giving her a unique view on how to make things work better and why that matters for the whole market.

Alex Ley

CEO & Co-founder • Scrub AI

Before co-founding Scrub AI, Alex spent over six years building full-stack applications and even contributed to major open-source Excel Python libraries. His deep technical foundation, combined with his expertise in product management and an MBA from IE Business School in Madrid, allows him to uniquely bridge complex tech with clear business strategy, transforming how the insurance industry tackles its toughest data challenges.

Ion Stagkos

Machine Learning Engineer • Scrub AI

Ion brings deep expertise in machine learning to Scrub AI, holding a Master’s in AI from Imperial College London and a Master’s in Engineering Science from the University of Oxford. He’s passionate about applying his wide ML knowledge, with research focusing on large NLP transformer models, including a first-author publication at a NeurIPS workshop. Ion’s strength is taking cutting-edge AI research and making it work in the real world.