AI is rewriting the recruitment rulebook with the potential to make it smarter, fairer and more efficient, but it is not without its challenges. In this 30-minute session, leading Women in Data® experts from AXA, Munich Re, Royal London, Thatcham Research and Virgin Media O2 unpack the real-world impact of AI on hiring practices.  

Our panel will share how they are responding to the rise of AI-generated profiles, the growing cost of candidate screening and the responsibility to maintain transparency and trust at all stages. Expect practical insights and honest reflections on what it takes to proactively utilise AI responsibly, and effectively, in recruitment today.

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Wherever you are in your career, this session will hopefully inspire you to take that next LEAP.  

Join us as we delve into mentorship circles, cross-disciplinary team challenges, and real-time feedback loops that accelerate personal skill growth and spark creative solutions to take back to your businesses and drive measurable impact.  

This focused 30-minute session will teach you the power of the Women in Data® Leadership, Equity, Acceleration Programme (LEAP). We will explore its hands-on curriculum and how its dynamic peer network is empowering data professionals to collaborate, innovate, and lead.

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In a world where data defines destiny, creativity is being reimagined through the lens of artificial intelligence. This session brings together Payal Jain, Chair of Women in Data®, Benjamin Field, Executive Producer at Deep Fusion Films and Roisin McCarthy, Founder Women in Data® for a candid conversation about their pioneering partnership at the intersection of data, storytelling, and AI.

Together, they will explore how Deep Fusion Films is pushing the boundaries of creative AI, from avatar-led cinematic experiences to AI-assisted documentaries and why the arts must embrace this evolution. The discussion will unpack the ethical considerations that come with innovation, the importance of human-centred design, and the role of inclusive collaboration in shaping responsible creative futures.

Expect insights into how AI is not just a technical revolution but a human one, and why the next generation of artists, technologists, and data leaders must co-create with purpose. This session is a celebration of imagination, impact, and the power of partnership.

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“Data for Good” is about gathering insight, revealing injustice, and driving change. But what happens when the data we need most is missing - not because it’s hard to collect, but because it’s hard to face?

This talk explores the uncomfortable truth behind the Women’s Safety: that data on women’s safety - relating to male violence - is often absent not for technical reasons, but because it’s emotionally and socially fraught. Even among women working in data - people who understand the value of data and live with the reality of gendered harm - many chose not to complete the project’s survey. Their silence wasn’t apathy. It was a response to exhaustion, self-protection, and the emotional cost of revisiting experiences that are personal, painful, and too often ignored.

This session doesn’t ask how to collect more data. It asks how to make space for what’s already known but rarely spoken. How to recognise silence as meaningful. And how to place the responsibility for change on the institutions that are there to protect rather than the women who live the hidden reality.

What does it mean to do “data for good” when some truths stay silent?

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The used car market is traditionally fraught with uncertainty and friction. Motorway is changing that. This fireside chat will explore how the company is harnessing the power of AI to create a seamless, transparent, and trustworthy experience for customers. It will dive into the practical applications of Motorway's AI models, from instant, accurate vehicle valuations to damage detection and customer support. Beyond the technology, Ben and Georgia will share Motorway's journey in fostering a culture of data enablement and how the company empowers its teams - from marketing to operations - with the tools and insights they need to make smarter, data-informed decisions.

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