Women in Data® brings more than content. We bring a community, a perspective and a proven platform for change.
We create a space where inclusion meets innovation. Visit the Women in Data® lounge, it's open for our members!
Become a Member – it's free
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Across both days, more than 90 voices from our Brand Partners and Member Community and will deliver bold, thought-provoking content. As ever, our speakers and panellists will challenge perspectives, elevate conversations, to shape the future of Data, AI, & Tech and the talent behind it.
Actionable insight on building inclusive, high-performing data teams
Real-world leadership perspectives from those driving change at scale
Fresh thinking on culture, talent, and the future of work in AI and data
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Curated community meet-ups to build meaningful connections. This is where conversations continue, relationships deepen and talent gathers.
Brand partner activations showcasing innovation in action
A community drinks reception designed to bring people together in a more personal, relaxed setting
Alongside the open programme, Women in Data® will host our renowned ExecCONNECT community through a series of invitation-only leadership experiences across both days. These closed-door sessions are designed for senior leaders to:
Engage in honest, high-value peer conversations
Explore the most pressing challenges in data leadership
Build trusted connections within a carefully curated network
Across the two days of Big Data LDN, we create a space where inclusion meets innovation, where leadership is shared and where every attendee leaves with something lasting.
Relive the energy from our Women in Data® stage at Big Data LDN — two days of bold sessions, community connection and powerful conversations.
In this conversation, senior community leaders Robin Sutara, Field CDO at Databricks, Manca Vitorino, Director of Data Ecosystem at LexisNexis Risk Solutions and Roisin McCarthy, Founder of Women in Data®, share powerful career advice, reflect on how community has shaped their journeys, and discuss their vision for the future of the Data & AI sector.
