Speakers

As Head of BD and Finance at Uptime Industries, Dr. Bührle leads the growth strategy for Lemony, the world's first ready-to-use B2B edgeAI platform that empowers team-level decision-making by lowering the entry barrier to applied enterprise AI. With its offline, turnkey generative AI solution, Lemony guarantees data privacy, AI ethics, and data/AI ownership, while providing centralized control. As a result of this innovative approach, teams in over 150 organizations are now using Lemony daily - including Volkswagen Group, Morgan Stanley, UBS, and Roche.

"I'm passionate about harnessing technology to drive growth while prioritizing transparency, security, and accountability. As an experienced entrepreneur and startup coach, I believe that responsible AI implementation is essential for long-term success." As a co-founder of Piavita AG in 2016, Dr. Bührle served as CEO for eight years, introducing AI-based medtech solutions to several markets and industries. Prior to her own startup, she was Managing Director of the Center for Entrepreneurship at the University of St.Gallen (Switzerland), where she also earned her PhD in Business Innovation.

Dr. Bührle serves on the Board of Directors of startups and is a member of the Advisory Board of Übermorgen Ventures, an early-stage venture capital firm focused on investing in startups tackling climate change. In recognition of her achievements, she has received numerous awards, including Digital Shaper of Switzerland, Founder of the Year, and World Shaper of Tomorrow. She is also an Innosuisse Startup Coach, supporting over 50 science-backed ventures on their path to market.

In addition to her participation in the panel “Navigating Responsible AI Implementation across industries”, Dr. Bührle will present a keynote presentation: "Lowering Barriers for Enterprise AI Adoption: Insights from the First 200 Organizations". In this talk, she will share learnings from Uptime Industries' experience to deploy Lemony across various industries, highlighting key success factors and lessons learned on how to overcome common challenges in enterprise AI adoption.