Cross-Sector AI Insights for Financial Innovation

FIND X Swiss NLP Expo 2025

FIND recently participated at the Swiss NLP Expo 2025, held in Winterthur on 13 May 2025. The event was co-organized by the Swiss Association for Natural Language Processing (SwissNLP) and the Zurich University of applied sciences (ZHAW). It is conceived as a hub for Natural Language Processing (NLP) and Generative Artificial Intelligence (GenAI) in the business field, featured industry talks, exhibitions and networking activities. Leaders from various industries showcased the cutting-edge advancements in Artificial Intelligence (AI), particularly in NLP and GenAI. FIND has participated in different insightful industry talks. Max Buckley, Google examined the road to robust Retrieval-Augmented Generation (RAG) Systems. Elif Ozkirimli, Roche showcased how AI is transforming healthcare and provided a strategic perspective shaping the future of healthcare. Daniel Masato, Thomson Reuters elaborated on how AI-assisted question answering for transactional law works in practice. Lokesh Mishra, Zalando outlined how fashion meets GenAI. Finally, Sebastian Welter’s presentation, Ikea examined how GenAI changes Logistics and Supply chain.

Impressions from the Swiss NLP Expo 2025

FIND’s Article “Cross-Sector AI Insights for Financial Innovation”

FIND was inspired by industry talks on the latest advancements of AI. We considered that the invaluable insights gathered from technology, healthcare, legal, fashion and logistics were also a fertile ground for our finance community. Based on the above we conducted further desk research and are now excited to release our latest article "Cross-Sector AI Insights for Financial Innovation". This paper goes beyond mere automation, demanding a strategic integration and a culture of innovation. It offers invaluable lessons and direct applications for the financial sector as it navigates its own digital transformation.

This article delivers key insights from...

Technology (Retrieval-Augmented Generation Systems)

RAG systems, by combining knowledge bases with Large Language Models (LLMs), significantly improve information retrieval, accuracy and transparency. This holds immense potential for financial applications such as investment research, customer support and M&A due diligence, enabling faster, more precise data analysis.

Healthcare (Strategic Integration of AI)

Healthcare’s experience underscores the importance of a holistic AI strategy, aligning technical choices with overarching visions while focusing on responsible AI practices. This mirrors financial sector’s need for robust governance, meticulous data management, organizational readiness and continuous monitoring to comply with the stringent regulatory environment.

Legal (GenAI Adoption)

GenAI is increasingly central to legal workflows, offering substantial efficiency gains in document review, summarization, research and contract drafting. Financial institutions can apply this to enhance due diligence, risk management and legal advisory, though challenges such as hallucination risk, data security and the need for clear internal policies and training must be addressed.

Fashion (Hyper-Personalization and Marketing with GenAI)

The fashion industry demonstrates GenAI’s power in hyper-personalization, marketing and customer experience. This translates directly to finance, enabling personalized financial products, enhanced customer service through intelligent chatbots and data-driven marketing.

Logistics (Operational Optimization and Collaboration)

Logistics highlights the value of focusing on tangible operational improvements with clear ROI, leveraging real-time data for dynamic decision-making and fostering user adoption. Crucially, it emphasizes ecosystem-wide collaboration, data sharing, and standardization as a blueprint for finance to achieve maximum impact. The importance of a clear AI vision from leadership combined with bottom-up experimentation is also paramount.

Get Inspired and Stay Connected!

We believe insights from cross-sector advancements in AI are crucial and trust they have the potential to translate into actionable strategies for the financial sector. For a comprehensive understanding we kindly invite you to explore our Article.

FIND remains committed to providing a platform for dialogue and innovation in the Swiss financial sector. Subscribe to our Newsletter or follow us on LinkedIn to stay informed about future publications, events and initiatives.