Women in Data · Roisin McCarthy + Karen Jean-Francois // ReMotive (Bedrok) @ LAPIPA_Studios

Season 1 Opener: Women in Data UK and the Future of AI & Analytics The LA PIPA Studios Podcast kicks off Season 1 with a powerful episode featuring two influential leaders in the data and analytics field who are driving change through the Women in Data UK movement. At the time of this recording, they were already shaping a more inclusive and supportive community for women and gender-diverse professionals in data science and analytics. Their platform continues to be a hub for technical knowledge-sharing, industry advocacy, and fostering diversity in AI and data-driven fields. Meet the GuestsRoisin McCarthy, co-founder of Women in Data, is also at the helm of Datatech Analytics in Basingstoke. As a key player in the industry, she has been instrumental in connecting top-tier talent with data science and analytics roles, ensuring a strong pipeline of diverse professionals.Karen Jean-Francois is an Analytics Manager at Cardlytics, a NASDAQ-listed company that has pioneered a Purchase Intelligence and Advertising Platform. This innovative technology enables marketers to identify opportunities and engage audiences with highly relevant and data-driven advertisements. She also produces and hosts the Women in Data podcast, giving voice to industry experts and emerging talent.A Deep Dive into Women in Data (WiD) This episode explores how Women in Data UK has made a profound impact in the industry by: ✔️ Empowering a new generation of data professionals through mentorship and community-building.✔️ Breaking barriers and advocating for broader inclusivity in AI and data science.✔️ Providing a platform for knowledge-sharing, career growth, and collaboration.✔️ Highlighting the evolving landscape of data science and AI over the past two decades. Why Listen? If you’re looking to understand how WiD is shaping the future of data, gain insights from two industry leaders, and hear about real experiences from inside the field, this episode is for you. 🚀 Hit play and join us in this engaging discussion about the evolution of data science, AI, and the movement