Financial institutions are increasingly integrating generative AI into their operations, but the journey is fraught with challenges and opportunities. Rui Rosado Gonçalves from KPMG Portugal highlights that many banks lack the necessary data quality and governance to efficiently build AI models. At a Luxembourg Bankers’ Association conference, Yannick Huchard from Banque Internationale à Luxembourg discussed how his bank is navigating new regulations while leveraging AI tools like Microsoft Co-pilot to enhance workflow. Huchard emphasized the importance of training employees on both the potential and limitations of AI. Meanwhile, the Luxembourg Stock Exchange has equipped employees with a secured version of ChatGPT, encouraging them to explore its capabilities and provide feedback. CIO Thomas Pulinckx stressed the need for a mutual understanding between IT and business teams to fully harness AI’s potential. He also discussed the shift towards AI with “emotional capabilities” and the profound impact this could have on customer experience. Pulinckx believes that AI systems, deeply integrated with personal data, could provide insights and solutions beyond current expectations, hinting at future advancements like AI-driven investment products and enhanced customer interactions.

AI in Banking – How Financial Institutions Are Embracing Generative AI
Banks are increasingly deploying generative AI, but data quality and mutual understanding between IT and business teams are crucial for success.
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