{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"AI-Assisted Reconciliation of Enterprise Data: Detecting and Explaining Cross-Platform Discrepancies","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/2e94df3a\"></iframe>","width":"100%","height":180,"duration":459,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/ai-assisted-reconciliation-of-enterprise-data-detecting-and-explaining-cross-platform-discrepancies.\nLearn how deterministic checks and AI work together to detect data discrepancies, explain their causes, and simplify financial reconciliation.\nCheck more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #data-engineering, #data-quality, #ai, #data-reconciliation, #lakehouse, #data-science, #data-regulations, #ai-assisted-reconciliation,  and more.\nThis story was written by: @ajaysikharam. Learn more about this writer by checking @ajaysikharam's about page,\n            and for more stories, please visit hackernoon.com.\nLearn how deterministic checks and AI work together to detect data discrepancies, explain their causes, and simplify financial reconciliation.","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}