Intelligent Process Automation In The Era of Dark Data

1. SPEAKERS Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 2 Suresh Babu Chief Revenue Officer, Imaginea Suresh drives Imaginea’s business growth through robust sales, marketing, and business strategies. He is a proven leader with a successful track record spanning 20 years, and is known for his ability to build high-performance teams and drive profitability and growth. Reginald Twigg Director of Product Marketing, Abbyy A proven technology leader in bringing technology innovation by recognizing the digital transformation in a dynamic environment. With more than 20 years of experience, he is an expert of Enterprise Applications in Artificial Intelligence, Machine Learning, Capture, RPA and Cloud/SaaS/Mobile. Srivatsan Parthasarathy Principal Architect, Imaginea Srivatsan is a progressive leader, who is known for his expertise in enterprise architecture and solving technology challenges in innovative ways within the given constraints. As a strong believer of continuous learning, he has been responsible for incubating dynamic automation and robotic process automation practice areas for organizational innovation.

2. Evolution of Robotic Process Automation (RPA) Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 3 Source: IDC, DeloitteSource: Everest group MARKET ADOPTION Business impact Early stage assisted RPA Unassisted RPA Autonomous RPA Cognitive RPA with AI ▪ Improve productivity ▪ Partial automation ▪ Difficult to scale ▪ End-to-end automation ▪ Easy to scale ▪ Work orchestration ▪ Robot performance analytics ▪ End-to-end automation ▪ Auto-scaling ▪ Context aware ▪ Advanced workflow analytics ▪ Processing of unstructured data ▪ Predictive and prescriptive analytics ▪ Automation of tasks that involve judgement HIGH LOW

3. Dimensions of Dark Data Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 4 Source: IDC, Deloitte Data already analyzed Data in your possession, but not analyzed Unstructured data that cannot be mined Data in the deep web Emails, notes, documents, logs, notifications, etc. Audio and video files, images, etc Data from academics, government bodies, communities and web at large Potential goldmine of information, delivers value-driving insights, a hyper-personalized experience along with economic value 1 2 3

4. Automation in the era of ‘Dark Data’ Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 5 Insurance Banking & Financial Services Healthcare Retail Manufacturing ▪ Underwriting: Improve hit and retention ratio ▪ Policy administration: Improve the scope of automation ▪ Claims management: Improve predic- tability of frauds ▪ Procure-to-Pay: Extract invoice and payment data from multiple sources ▪ Complete customer onboarding instantaneously ▪ Customer insights: Predict changes in customer circumstances ▪ Predictive care: Early medical intervention ▪ Automate claims processing end-to-end ▪ Improve administrative workflow and productivity ▪ Personalize customer offer through gaining 360 customer insights ▪ In-store visual monitoring to assess customer satisfaction ▪ Automate supply chain process ▪ Predict maintenance needs of machine parts ▪ Root cause analysis for quick decision making ▪ Additional data point help improve the scope of automation

5. Key takeaway from this webinar Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 6 Understand the impact of Dark Data on Automation Benefits of applying ‘Dark Data’ analytics in Automation Approach to automating process involving Dark Data Use cases from Dark Data powered automation across industries

7. Dark Data: Potentially actionable data out-of-action Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 8 REASONS FOR DARK DATA 85% No tool to capture and unlock Dark Data 39% Too much data, not enough analytics 25% Can only access structured data 66% Data is missing or incomplete Source: The Databerg

8. From ‘Dark Data’ into actionable insights Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 9 STRUCTURED DATA SEMI & UNSTRUCTURED DATA Transform Dark Data into Insights Discovering Assessing Storage & Retrieval Business Intelligence ENTERPRISE BI Video Audio Emails Documents Logs Social Media

9. How Dark Data impacts automation Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 10 PROCESS EXAMPLE Application interaction Applying business rules Deal with data • Application Interaction is taken care by RPA…both (UI/API) interactions • Business rules engines can be built to deal with any rules that need to be applied • Most automations fall short while dealing with data

10. Benefits of mining Dark Data Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 11 Transition from Unassisted RPA to Cognitive RPA Data processing at the point of entry enables new business models (e.g., Early medical intervention) Reduce operational cost by streamlining uncontrolled data growth Integrate data across siloes for a more complete data analytics End-to-end process automation with zero / minimal human touchpoint

11. Approach to automating process involving Dark Data Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 12 Process orchestration Application interaction (UI / RPA) Cognitive data capture Monitor input source Extract from source Extracted data APP 1 APP 2 RPA interaction Apply business rules Send to downstream system

12. Data formats and document processing scenario Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 13 Input mode Document characteristics Outcome Output mode ▪ Email ▪ Hard copy ▪ File folder ▪ Upstream application/ workflow Type of content ▪ Structured ▪ Unstructured Variance in document formats ▪ Low ▪ Medium ▪ High Document type ▪ Readable or image (PDF, .jpeg, .xlsx etc.) Outcome type ▪ Extract set of fields ▪ Data summary ▪ Decision Transformation ▪ Well defined rules ▪ Lookups ▪ Complex transformation ▪ Data entry ▪ Email ▪ Feed to downstream system

13. Data extraction from semi/unstructured data Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 14 OCR • Easy • Handwritten processing • Noise, skewing, orientation issues Data capture • Core part • Multiple methods Documents that have a fixed layout ▪ Location based search Documents that don’t have a fixed layout (flexi-layout) ▪ Fields ▪ Tables ▪ Data in paragraphs ▪ Objects (Logo, Signatures, Barcodes, etc) Natural language free flowing text from Documents, Emails and other sources

14. Document type based on layout Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 15 Fixed-form / structured documents ▪ Surveys ▪ Questionnaires ▪ Tests ▪ Claim Forms Semi-structured documents ▪ Invoices ▪ Purchase orders ▪ Bills of lading ▪ EOBs Unstructured documents ▪ Contracts ▪ Letters ▪ Articles ▪ Notes

15. Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 16 : Our automation framework Infrastructure (On Premise / Cloud / Hybrid) Robotic Process Automation Process Orchestration Data Extraction & Transformation Robotic Operations Center RPA Tools Accelerators Process Solutions Task Assignment Input Source Mgmt Rules Engine Queue Monitoring Workflow Reporting & Analytics Document Processing Tools (ABBYY) Classification Extraction Verification Analysis AIPipeline Metrics & Reporting L1, L2 & L3 Support Tool & Infra Update Support Bot Monitoring

17. Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 18 Expense payment Scenario • Claims invoices are received in various formats from Claims Adjuster • Based on the claim details in the invoice and defined rules, payments are made in the Claims Management System Benefits ▪ ~95% of the process automated ▪ Error reduction in payment issuance Poll for email / file in FTP folder Extract invoice attachments & send for data extraction Issue payment & update Workflow System Claim Adjuster Robot(s) 2 Claims Management System Update Workflow system with extracted details and Queue for Payment issuance Present invoices of expenses incurred (claims related) 1 Workflow System Mailbox Other Sources Manual verification and update OCR Extraction Feedback 3 4 Fetch the extracted details 5 Assign to User incase of Exception Reviewer 6

18. Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 19 Policy checking Scenario • Review client’s policy documents and look for missing/inadequate data • Verification of the particulars between quote, proposal, binder as well as policy • Submitting findings to underwriters incase of any missing/inadequate details Benefits ▪ Reduced processing time from 30+ minutes to <10 minutes per policy Robot Bot picks tasks Identify Documents for Data extraction Reviewer Validate the Checklist Receive Request Update Client Representative Workflow Solution Create task for policy checking Compare and mark results Mark Variance Extract Information based on Keywords Variance? -> Update Page no. for variance OCR Extraction Classification Fetch extracted data Compare based on extracted details & Fetch Results Update Request with Results Rule based validations 2 7 6 1 3 4 5 8

19. Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 20 Claims processing Scenario • Diverse set of Claims documents • Need to extract line items and classify them for inclusions and exclusions to take Claims Decisions • Pre-existing conditions database to be accounted for determining exclusions Benefits ▪ ~66% reduction in claims cycle turnaround processing time ▪ 90% data accuracy (with feedback loop ongoing improvement) ▪ 80% exclusion line-item prediction Claim received through email Clients Robot Claims Management System OCR Extraction 1 Poll mailbox for new emails Mailbox Extract email information and create claim record Create claim record for claim received through app/ portal Extract Information from the documents Claim Classification Claim Processing and Decision (AI Pipeline) Enter Extracted Information and Decision (Approve/ Deny/ Exception) Manual Handling of Exceptions 2 3 5 6 4 7 8 9 Use NLP for tagging claim line items with pre- existing medical conditions Reviewer

20. Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 21 Transcribe minutes based on identified keywords Scenario • Meetings between Account Manager and Clients is recorded. • Based on the meeting minutes the pre-renewal questionnaire Quotes are requested from the Carriers • Quotes are further shared with the client Benefits ▪ 76% reduction in time for minutes preparation per meeting ▪ Important points discussed are captured and catalogued for further business insights ▪ Pre-renewal questionnaire preparation automated Classification of discussion based on keyword New / renewal of policy Amendments to existing policy Other queries AI PIPELINE Back office support Mailbox: incoming emails with audio files Web application Application database Amazon S3 Bucket (Temp Audio Storage) Client infrastructure Internet (Amazon Cloud) ENTERPRISE FIREWALL

22. Digitization itself is the new nagging problem for digital transformation Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 23 Many RPA use cases are content dependent 20% Accessible STRUCTURED CONTENT Databases 80% Inaccessible FORMS UNSTRUCTURED CONTENT Invoices Claims & Bills Purchase Orders Bill of Lading Financial Reports Legal Briefs Photos Email SMS Audio Contracts Leases Video Mortgage Docs Tax Docs System to System – Web System to System – Desktop Spreadsheets CSV Files IDs Passports

23. Digital transformation journey – where to start? Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 24 When combined with RPA, Content Intelligence provides the AI and cognitive machine-learning capabilities and helps automate content-centric Digital Transformation processes. + = Robotic Process Automation Intelligent Document Processing Digital Transformation Software bot Process Apps Documents Text Images

24. Invoices Contracts Automating content with AI: Stairway to value Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 25 AI & Machine Learning Backbone Digitize content STEP 1 Classify content STEP 3 Convert content STEP 2 Extract insight and data from… Structured Documents STEP 4 Unstructured communication Unstructured Digital Content Structured Actionable Content eMail & SMS Traditional OCR

25. ABBYY makes AI work with documents and content Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 26 Systems and Robots Enterprise applications and digital robotic processes designed to run businesses Databases Robotic Process Automation (RPA) ECM Pega BPM ABBYY provides the digital ‘skills’ (OCR, AI/ML) to process documents into structured, actionable information – the fuel of digital business and customer intimacy needed for survival and competitive advantage. Customer Interactions Real-time, Content Centric Processes Structured & Unstructured Content FAXMFP SCANWEB MOBILE E-MAIL Intelligent Document Processing

26. Products covering the spectrum of capture use Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 27 Application for the capture expert • Ideal for high volume, complex, batch oriented use cases • Flexible, embedded, lower value • Many RPA and BPM tools already incorporate ABBYY OCR Tools SDK Tool for the developer Micro-Services (skills) for the new user • Transaction oriented, embedded

27. ABBYY FlexiCapture 12 Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 28 ▪ Image Enhancement ▪ Advanced Classification ▪ Classification by companies ▪ Training of fields extraction ▪ Autolearning ▪ High performance and redundancy ▪ Multitenancy ▪ Cloud deployment availability ▪ SLA on time of processing ▪ Document Sets ▪ Digitally-born documents ▪ Connectors ▪ HTML5 web clients ▪ Mobile Client ▪ Online Help Technology Platform UX NEW in R2 Significant improvements in R2

28. ABBYY Vantage Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 29 HOST PLATFORM RPA BPM ECM OTHER AUTOMATION PLATFORMS SAMPLE PROCESSES Customer onboarding Logistics Finance Lending ABBYY VANTAGE Vantage helps organizations accelerate their digital transformation by complementing intelligent automation platforms like RPA, BPM and others with new and advanced Content IQ skills to perform like humans. Route a document Input data Make a decision

29. ABBYY Vantage: Content IQ Skills Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 30 *Note: not all activities listed ABBYY VANTAGE CONTENT IQ SKILLS Doc Assembly ACTIVITIES Classification Review Extraction Review Logic Operator LearningOCRClassification Skills built by ABBYY, customer, or partner to process specific document types ADVANCED COGNITIVE SKILLS Bill of Lading Applications W-2 Orders Pay Stubs IDs Trade Claim HOST PLATFORM RPA BPM ECM OTHER AUTOMATION PLATFORMS UNDERSTAND CORE COGNITIVE SKILLS VISION LEARN * Pre-built cognitive skills created using Vantage activities INSIGHT Vantage Integration Mapping Service Messaging Service Activation Service

30. Evolution of Robotic Process Automation (RPA) Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 31 Source: IDC, DeloitteSource: Everest group MARKET ADOPTION Business impact Early stage assisted RPA Unassisted RPA Autonomous RPA Cognitive RPA with AI ▪ Improve productivity ▪ Partial automation ▪ Difficult to scale ▪ End-to-end automation ▪ Easy to scale ▪ Work orchestration ▪ Robot performance analytics ▪ End-to-end automation ▪ Auto-scaling ▪ Context aware ▪ Advanced workflow analytics ▪ Processing of unstructured data ▪ Predictive and prescriptive analytics ▪ Automation of tasks that involve judgement HIGH LOW

31. Imaginea: We bring a unique ‘Product Thinking’ culture Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 32 Pramati’s M&A’s of leading products Serving from 5 global locations Innovation enablement Over 200 product & Enterprise customers Unique products & services Agile methodology Design exploration incubation lab 13 home grown products ▪ Doing business since 2009. Founded by the co-founders of Pramati Technologies (since 1998) ▪ A services company that started life as a product company & innovation in Enterprise ▪ “Product DNA” : Started several independent product companies ourselves ▪ Imaginea : Unique and unmatched product culture ▪ A strong team of 1500+ Engineers ▪ 5 Global locations : Mountain View CA (US HQ), London (UK Operations), Hyderabad (India HQ), Bangalore (ODC I), Chennai (ODC II) ▪ Over 200 Product Engineering & Enterprise Customers till date 1500+ Engineers

32. SPEAKERS Private and confidential. Copyright (C) 2019, ImagineaTechnologies Inc. All rights reserve. 33 Suresh Babu Chief Revenue Officer, Imaginea suresh.babu@imaginea.com Reginald Twigg Director of Product Marketing, Abbyy reggie.twigg@abbyy.com Srivatsan Parthasarathy Principal Architect, Imaginea srivatsan.parthasarathy@imaginea.com

Intelligent Process Automation In The Era of Dark Data

Imaginea Technologies

Intelligent Process Automation In The Era of Dark Data