Building Digital Transformation Strategies with AI- Enabled - PowerPoint PPT Presentation

Building Digital Transformation Strategies with AI- Enabled Content Intelligence Steve Ponting Director of Customer Enablement — ABBYY

Welcome to Brooklands Opened in 1907 the Home to one of Britain's By 1918 it had become circuit at Brooklands was first aerodromes Britain’s largest aircraft the worlds first purpose manufacturing centre built motor racing circuit 2

Innovation 1900’s 1920s 1950s 3

Then came 1955 4

Innovating in Response to Change INNOVATING TECHNOLOGY IN WAVES ADVANCEMENT Consumable Production Content IQ Capture Integrated, Back Office transactional EFFORT 5

AI Disciplines Language Computer Machine Learning Processing Vision Frameworks Source: Gartner, Technical Professional Advice “Driving an Effective AI Strategy”. May 2018 6

4th Industrial Revolution 1.0 Steam 2.0 Electricity 3.0 Computer 4.0 AI 1784 1870 1969 2010 7

Industry 1.0 8

Industry 2.0 9

Industry 3.0 10

Industry 4.0 11

4th Industrial Revolution alters the global workforce Future Workforce: Digital Worker The head: human strengths 38 % • Conversational intelligence • Collaboration • Connecting ideas Investment in Al and Human-Machine The body: machine strengths Collaboration could • boost revenues by Machine leaning • Statistical correlation 38% by 2022 • Rapid search • Content analysis Source: Accenture Research • Repetitive task execution “Reworking The Revolution. Future Workforce”. 2018 12

A quick test 13

Content IQ: Essential Solution to Understanding and Processing Content Customer Interactions Systems and Robots Real-time, Content Centric Enterprise applications and digital Processes robotic processes designed to run ContentIQ enables businesses the new digital workforce with the necessary skills and understanding to MFP MOBILE FAX ECM ERP, CRM, BPM make intelligent business decisions. Robotic Process WEB SCAN E-MAIL Databases Automation (RPA) Structured & Unstructured Content 14

Addressing the Demand in the automation market Empowering the new digital workforce to understand and process content everywhere Simplicity Intelligence Extensibility Easy and fast to design and Advanced content IQ skills for Build and deploy for many implement, delivering faster ROI, structured & unstructured use content centric processes across better customer experience cases an entire enterprise organization 15

How do you empower people in your organization to seamlessly incorporate, understand, and process content? STRUCTURED CONTENT TODAY’S DIGITAL 20% System to System – Web Spreadsheets Databases Accessible WORKER System to System – Desktop CSV Files DOCUMENTS Mortgage Docs Purchase Orders Invoices IDs Passports Tax Docs Bill of Lading Claims & Bills ENABLED BY 80% UNSTRUCTURED CONTENT CONTENT IQ Inaccessible Email Contracts Financial Reports Text Leases Legal Briefs Photos 16

Growth of Content Creates Significant Business Challenges Consider processes involving content… • Opening new an account • Applying for a loan • Filing a claim • Logistics and shipments • Processing and paying an invoice • Receiving a purchase order • Reviewing contracts • Responding to customer inquiry 17

“It is the capability to automate content-centric processes that makes AI an ideal complementary technology to RPA. Using a combination of the two, organizations can automate processes end-to-end e.g. take in documents using AI, parse, classify, and understand meaning or sentiment and pass on the required action to RPA.” Sarah Burnett, Vice President, Everest Group 18

CONTENT IQ COMPLEMENTS RPA Making Robots Smarter and Processes Efficient Use Cases: Large Distributor of Consumer Goods in North America • Invoices Processing 500,000 bills of lading documents annually • Purchase orders American Multinational Conglomerate • Claims Expanded RPA to Order-to-Cash global operations involving many • Applications languages and PO formats, leveraging FlexiCapture automated learning technology • Bills of lading • Customer Leader in Energy Management and Automation correspondence Processing 120,000 stock return request documents from resellers • Mortgage lending and retailers 19

DOCUMENT PROCESSING What Image processing, OCR, and PDF/Document processing INTELLIGENT CLASSIFICATION Makes Up Clustering, Classification, and Categorization Content IQ ADVANCED DATA EXTRACTION Assisted and Machine Learning, Extraction, Training on Documents and Validation NLP AND UNDERSTANDING Entity Extraction, Semantics, Understanding 20

Thank You!