Welcome
The future of financial services: AI, compliance, and sustainability strategies
Sponsored by Red Hat
Thursday 9th November 2023
Zoom
Financial services institutions (FSI)s in 2023 are at the precipice of a new era of cost efficiency and productivity thanks to a new generation of artificial intelligence (AI), large language models (LLMs), and machine learning (ML) technologies.
These technologies have a major role to play across all areas of business in the financial sector, but they have the potential to even further impact the ways that FSIs can achieve key sustainability targets and meet compliance with regulatory frameworks such as the soon-to-be implemented Digital Operational Resilience Act (DORA).
In this FStech digital roundtable event in partnership with Red Hat, senior peers from across financial services will examine the major impact that AI, LLMs, ML and other technologies are having on FSI’s ability to achieve their compliance and sustainability goals, along with helping them to optimise efficiency while cutting costs.
The session will also feature a presentation from Marco Eijsackers, ING’s head of CIO office – strategy and transformation.
Topics for discussion:
- What are the primary sustainability issues facing FSIs in 2023?
- How can AI, including Generative AI (GenAI), be harnessed to develop and deploy sustainable financial products and services effectively?
- What roles can open-source software and technologies play in supporting sustainability efforts within the financial services industry?
- What are the benefits and potential concerns of using AI to accurately and reliably measure and report on the sustainability performance of financial institutions and their clients?
- Where do you identify the most significant cost inefficiencies within your business, and do you believe AI will play a pivotal role in addressing these issues?
- In light of the Digital Operational Resilience Act (DORA), how can AI be instrumental in helping financial institutions achieve compliance with this and other regulatory frameworks?
- Given the importance of transparency and explainability in financial services, how can AI models be designed and managed to ensure transparency to regulators, customers, and stakeholders? What trade-offs may be involved in this process?
- To foster responsible AI adoption for sustainability and compliance, what roles can industry standards and collaborative initiatives play within the financial services sector?
- What challenges do financial institutions face when integrating AI and open-source solutions into their existing infrastructure, and how can these challenges be overcome?
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