The opening remarks from Steve Salvin, Aiimi CEO, and Matt Jennings, Senior VP Sales & Strategic Partnerships at Iron Mountain will set up the day’s discussions. Steve and Matt will talk about Aiimi and Iron Mountain's vision for data governance in the age of AI, reflecting on how the information management challenge hasn’t changed, but what is possible, and how you achieve it, most certainly has.

Internal AI governance plays a critical role in fostering responsible and compliant AI development and deployment. In this session, Julia Bonder-Le Berre, Head of Global Privacy at Iron Mountain, will outline the building blocks and best practices for effective governance, emphasising that strong data governance is essential for creating AI systems that are not only useful but also ethical and legally compliant.

In the age of AI, data integrity is paramount. In this session, we will explore the latest research from Iron Mountain and The FT on how responsibly sourced, high-quality data is the crucial ingredient for building trustworthy and effective AI solutions. We'll delve into insights and key findings of the research, uncovering the performance gaps in enterprise data ecosystems, and highlight the strategies of leading organisations that are building AI-ready information management capabilities, ensuring ethical and reliable AI outcomes.

Building trustworthy, high-performing AI solutions must start with solid data foundations. To realise this, organisations must go beyond traditional data management practices to ensure both structured and unstructured data is accurate, accessible, and truly fit for purpose. In this session, PwC UK Partner Karl Saunt will explore how effective data management begins with clarity - knowing what data to retain, what to archive, and what to delete. We’ll examine why legacy approaches alone fall short and highlight how AI can enhance classification, accelerate clean-up efforts, and enable organisations to establish scalable, AI-ready governance.

When the AI technological comet crash-landed, there was a rush to grab some language models and start to kick them around. We looked at how they work and how they are trained - and the more we looked, the more we realised there are many challenges to think through before you can even get close to using them safely in business. Join Paul Maker, Aiimi CTO, as he cuts through the hype to share the reality of AI in the modern enterprise, with his pragmatic, practical guide to what really matters.