We were pleased to host this edition of DataTalk to discuss Data Quality and Data Availability. AI has raised the stakes for existing challenges to getting the right data, at the right time, and with consistent access across industries and borders. It is also amplifying data quality issues of accuracy, completeness, reliability, and relevance. As GenAI and LLM have become the new focus for development, these issues in quality, availability, and use are becoming more consequential. This edition of DataTalk featured our new format of thought leaders and experts, sharing their insights, views, and engaging dialogue with member firms about new developments on the policy front and implications for the financial services industry.

Please note, this event was held under the Chatham House Rule. If you have any questions, please contact Daniel Mendez Delgado ([email protected]).