Khemeia Case Study: Automation of Large Scale Legacy Data Conversion

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1 Khemeia Case Study: Automation of Large Scale Legacy Data Conversion Aruna Schwarz, CEO Stelae Technologies S1000D User Forum San Diego, 22 nd September

2 Khemeia by Stelae Technologies Who are we? Award winning artificial intelligence software Khemeia transforms unstructured content into structured, searchable, re usable information, enabling the content and analytics value chain Target output systems: content and document management systems, publishing systems, search engines, big data/analytics engines, e commerce platforms, archiving and e storage Document verticals: legal/legislation, financial/accounting, media, publishing, e commerce, aerospace & defense Leading enterprise and public sector customers in Europe, Asia and the US Software and technology partners: 2

3 Large Scale Conversion to S1000D Project overview Customer: National Air Force Source documents: Maintenance Manuals Illustrated Product Catalogues Engine Manuals Auxiliary Equipment Input: paper and editorial platform documents Output: S1000D Over 1.5 million pages Multiple aircraft, engines, models Software partner: PTC Arbortext Systems Integrator: Top 10 Tier 1 global SI 3

4 Large Scale Conversion to S1000D Why Khemeia? Desired level of automation and accuracy achievable only with Khemeia Data modules Compliance with S1000D tagging structure Speed of deployment Ability to plug in with industry leading content management, publishing, search and analytics platforms (PTC, IBM, Oracle) Defense classified documents: All software and processing on site, secure facility No outsourcing or remote access allowed Usage based pricing model (page volume) Khemeia customer references in the A&D space: leading aircraft engine manufacturer, national submarine fleet 4

5 Large Scale Conversion to S1000D How did we achieve this? Years of experience and industry references in the S1000D space Highly sophisticated and proven AI software, with more than 60 machine reading algorithms Single focus on one specific process: content structuring Complex, yet achievable configuration process Machine learning allows increasing automation and scale Language agnostic Dedicated on site delivery team supporting the SI team 5

6 Khemeia identifies content elements as a human eye Tables, Paragraph, List Variants Geometric Positioning Visual Analysis Fonts, Colour, Size Double Column Text Linking Images to Captions, Text Special Characters indices, symbols, and languages 6

7 Khemeia Workflow OCR Scan Native Formats Khemeia (Creates Structured Outputs) Metadata Extraction Semantic Tagging Structure Hierarchy Generate Table of Contents Style Fonts Colour Convert XML, XBRL, S1000d, KHEMEIA Industry standard products Cognos, Hyperion, Business Objects, MS-BI, Temis, Reccomind, FileNet, Arbortext, Database Content Management Authoring & Publishing Search BI/Analytics Document Management Content Mining Data Discovery Categorization 7

8 Khemeia S1000D Conversion Process Khemeia Processing Automated structuring into linked S1000D data modules of a 500 page document Detect paragraph styles to fit the outputs to procedures & steps on how to service an aircraft, with ZERO loss of content Identify specific content sets : Notes, Warnings, Caution Identify Russian (Cyrillic) characters in Parts Catalogues & tag as Part Names Images linked to part numbers Create automated links to external sources (parts catalogue databases) Generate Table of Content and hyperlinks from the TOC to relevant sections in the document 8

9 Large Scale Conversion to S1000D What next? Our S1000D capability will continue to evolve with the standard We already structure documents that may be included in future specifications or enterprise wide analytics use cases legal and contracts, financial reports, accounting, commercial product catalogues We have just raised capital to expand to other aerospace and defense segments and geographies 9

10 Thank You! Q&A Contact: Aruna Schwarz, CEO technologies.com Maria Shiao, VP Business Development technologies.com technologies.com 10

11 Backup Slides 11

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