{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"Why Finance Data Quality Needs Rule Engines, Not ML Hype","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/19512427\"></iframe>","width":"100%","height":180,"duration":881,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/why-finance-data-quality-needs-rule-engines-not-ml-hype.\nWhy financial data quality depends less on ML hype and more on rule engines, governance, vendor controls and audit trails that regulators can understand.\nCheck more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #data-quality, #reference-data, #financial-data, #data-governance, #audit-trail, #data-validation, #regulatory-reporting, #auditability,  and more.\nThis story was written by: @nithish_6q9kh89. Learn more about this writer by checking @nithish_6q9kh89's about page,\n            and for more stories, please visit hackernoon.com.\nWhy financial data quality depends less on ML hype and more on rule engines, governance, vendor controls and audit trails that regulators can understand.","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}