Chair: Rafael Schmidt (BIS)
AI has the potential to transform all stages of the statistics lifecycle. The session will review the state of the art with reports on AI initiatives, research and progress since the topic was last publicly discussed at the 2023 SDMX Global Conference. While attention has focused most on leveraging LLMs to enhance data discovery, other use cases for generative AI, RAG techniques and more traditional machine learning are also emerging such as helping users better understand the standard. The session will conclude with an interactive discussion aimed at identifying and prioritising opportunities for the application of AI both within SDMX and through enhancing interoperability with other standards
StatGPT: Talk to DataPPT
Jeff Danforth and Maksim Samusenka (IMF)
Large Language Models and SDMX: From Natural Language to Structured Stats NavigationPDF
Alessandro Benedetti (BIS)
Bridging Financial and Statistical Data: Leveraging AI for ISO 20022 and SDMX InteroperabilityPDF
Tom Roberts (SmartXData)
SDMX & AI – a Chatbot initiativePPT
Julian Kurz, Samual Melm and Brian Buffett (BIS)
