Use of AI/ML for automating the XBRL tagging process
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Use of AI/ML for automating the XBRL tagging process... • Deepta Rangarajan • IRIS Business Services • Member of XBRL International, XBRL US, XBRL Europe and XBRL South Africa
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Use of AI/ML for automating the XBRL tagging process
- 1. Use of AI/ML for automating the XBRL tagging process • Deepta Rangarajan • IRIS Business Services • Member of XBRL International, XBRL US, XBRL Europe and XBRL South Africa
- 2. Trends Around the World for Any New Mandate Do not want to take risk of getting it wrong. 23rd XBRL Europe Day in Paris, FranceMay 28-29th 2019 • Companies usually outsource the XBRL tagging process due to No understanding of XBRL or taxonomy. Time and efforts in converting Annual Financial Report to XBRL/iXBRL iXBRL has additional complexity of layout and formatting to look pretty.
- 3. Existing process of First time XBRL tagging • Maping exercise: 23rd XBRL Europe Day in Paris, FranceMay 28-29th 2019 Select the lineitem from the Financial Statement and look for appropriate element in the taxonomy. Map the appropriate element to the lineitem and XBRL attributes (date, unit, scale) • Create Company taxonomy Create Company taxonomy based on mapped items Estimated time: 5-10 hours ~ 3-6 hours for mapping Financial Statements ~2-3 hours for building taxonomy
- 4. Game Changer: AI/ML for iXBRL tagging DEMO OF AI/ML 23rd XBRL Europe Day in Paris, FranceMay 28-29th 2019
- 5. AI/ML used one step beyond iXBRL reporting Automated Press Releases using AI/ML Smart Analytics and Comparisons 23rd XBRL Europe Day in Paris, FranceMay 28-29th 2019
- 6. Thank You ! Deepta Rangarajan Co-Founder IRIS Business Services Limited 23rd XBRL Europe Day in Paris, FranceMay 28-29th 2019