--- title: "The Future of Data Science: From Trends to Impact" slug: "the-future-of-data-science-from-trends-to-impact" canonical_url: "https://ai-weeks.ch/events/the-future-of-data-science-from-trends-to-impact" start_date: "2026-06-19T07:00:00.000Z" end_date: "2026-06-19T18:00:00.000Z" attendance_mode: "offline" language: "en" price_type: "paid" price: "250 CHF" location: "Swiss Re Center for Global Dialogue, Gheistrasse 37, 8803 Rüschlikon" organizer: "Women in Data Science Zurich" organizer_url: "www.wids.ch" event_url: "https://www.wids.ch/main-conference" tags: [] status: "published" description: "Data science is shifting from isolated model breakthroughs to connected AI systems: multimodal architectures, RAG pipelines, agentic AI, autonomous workflows and scalable MLOps. Organisations are rapidly adapting how they build, deploy and scale intelligent products. The WiDS…" --- # The Future of Data Science: From Trends to Impact Data science is shifting from isolated model breakthroughs to connected AI systems: multimodal architectures, RAG pipelines, agentic AI, autonomous workflows and scalable MLOps. Organisations are rapidly adapting how they build, deploy and scale intelligent products. The WiDS Zürich Annual Conference brings together leading women in AI and data science while remaining open to everyone interested in the future of the field. This year’s theme, _The Future of Data Science: From Trends to Impact_, focuses on turning innovation into real-world results, bridging research and industry, experimentation and deployment, and sharing lessons from both successes and failures. Expect insights on multimodal systems, agentic AI, real-time inference, AI infrastructure, governance and scaling AI teams from experts already shaping the industry. ## Details - **Start:** 2026\-06\-19T07:00:00\.000Z - **End:** 2026\-06\-19T18:00:00\.000Z - **Location:** Swiss Re Center for Global Dialogue, Gheistrasse 37, 8803 Rüschlikon - **Attendance:** offline - **Language:** en - **Price:** 250 CHF - **Audience:** Data scientists, ML engineers, AI engineers, MLOps engineers Data & AI leaders / heads of AI Technical product managers AI researchers and PhD students Software engineers moving into AI systems Innovation and digital transformation leaders Startup founders building AI products Executives evaluating AI adoption and ROI Consultants working on AI transformation Academics connected to applied AI and data science Women in AI/data science communities and allies Students and early\-career professionals looking for mentorship and industry exposure - **Organizer:** [Women in Data Science Zurich]() - **Event page:** - **Contact:** Agnieszka Pieczko Canonical: