The February edition of Datatalk explored Data Quality and Data Availability. The session highlighted that AI has raised the stakes for existing challenges to getting the right data, at the right time, and with consistent access across borders. It has also amplified issues of accuracy, completeness, reliability, and relevance. As Generative AI (GenAI) and Large Language Models (LLMs) have become a new focus for development, these issues in quality, availability, and use of data are becoming more consequential. In this edition of DataTalk, we discussed data quality and data availability trends, and how they are shaping the trajectory that algorithms will take in the future. This briefing note summarizes the discussion held on February 27, 2024, respecting that the forum is conducted under the Chatham House Rule and does not represent the official position of the IIF or its membership.

We look forward to continuing the DataTalk series on Wednesday, May 22, 8:00 am Washington DC / 8:00 pm Singapore when we will explore BigTechs: Business Models and Platforms. If you wish to receive an invitation, or if you have any questions, please reach out to Daniel Mendez Delgado at [email protected]