{"podcast":{"title":"Data Science Tech Brief By HackerNoon","slug":"data-science-tech-brief-by-hackernoon-6367564","podcast_index_feed_id":6367564,"rss_url":"https://feeds.transistor.fm/data-science-tech-brief-by-hackernoon","website_url":null,"image_url":"https://img.transistorcdn.com/PRg81mb1bHdu71bs3zSzRC6oEjt9WcIHjS2ba3uMWCY/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.jpg","author":"HackerNoon","episode_count":100,"summary":"Learn the latest data science updates in the tech world.","last_synced_at":"2026-06-18T06:17:56.540839+00:00","page_url":"https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564"},"episode":{"title":"Why Finance Data Quality Needs Rule Engines, Not ML Hype","slug":"why-finance-data-quality-needs-rule-engines-not-ml-hype","published_at":"2026-05-21T16:00:40+00:00","page_url":"https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/why-finance-data-quality-needs-rule-engines-not-ml-hype","show_page_url":"https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564","url":"https://share.transistor.fm/s/19512427","audio_url":"https://media.transistor.fm/19512427/82e4cd05.mp3","summary":"This story was originally published on HackerNoon at: https://hackernoon.com/why-finance-data-quality-needs-rule-engines-not-ml-hype . Why financial data quality depends less on ML hype and more on rule engines, governance, vendor controls and audit trails that regulators can understand. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-quality , #reference-data , #financial-data , #data-governance , #audit-trail , #data-validation , #regulatory-reporting , #auditability , and more. This story was written by: @nithish_6q9kh89 . Learn more about this writer by checking @nithish_6q9kh89's about page, and for more stories, please visit hackernoon.com . Why financial data quality depends less on ML hype and more on rule engines, governance, vendor controls and audit trails that regulators can understand.","meta_description":"This story was originally published on HackerNoon at: https://hackernoon.com/why-finance-data-quality-needs-rule-engines-not-ml-hype . Why financial data…","key_points":[],"chapters":[],"topics":[],"duration_seconds":881,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/data-science-tech-brief-by-hackernoon-6367564/episodes/why-finance-data-quality-needs-rule-engines-not-ml-hype/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/why-finance-data-quality-needs-rule-engines-not-ml-hype.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}