Steve Ponting Director of Customer Enablement — ABBYY
Building Digital Transformation Strategies with AI- Enabled Content Intelligence
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
Steve Ponting Director of Customer Enablement — ABBYY
Building Digital Transformation Strategies with AI- Enabled Content Intelligence
Welcome to Brooklands
Home to one of Britain's first aerodromes By 1918 it had become Britain’s largest aircraft manufacturing centre Opened in 1907 the circuit at Brooklands was the worlds first purpose built motor racing circuit
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Innovation
1900’s 1920s 1950s
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Then came 1955
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Innovating in Response to Change
ADVANCEMENT EFFORT
INNOVATING TECHNOLOGY IN WAVES
Integrated, transactional
Consumable Content IQ
Back Office
Production Capture
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AI Disciplines
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Source: Gartner, Technical Professional Advice “Driving an Effective AI Strategy”. May 2018
Language Processing Computer Vision Machine Learning Frameworks
4th Industrial Revolution
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1.0 Steam 1784 1870 1969 2010 2.0 Electricity 3.0 Computer 4.0 AI
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Future Workforce: Digital Worker
4th Industrial Revolution alters the global workforce
Investment in Al and Human-Machine Collaboration could boost revenues by 38% by 2022
Source: Accenture Research “Reworking The Revolution. Future Workforce”. 2018
The head: human strengths The body: machine strengths
A quick test
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Content IQ: Essential Solution to Understanding and Processing Content
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Systems and Robots
Enterprise applications and digital robotic processes designed to run businesses
Databases Robotic Process Automation (RPA) ECM ERP, CRM, BPM
ContentIQ enables the new digital workforce with the necessary skills and understanding to make intelligent business decisions. Customer Interactions
Real-time, Content Centric Processes
Structured & Unstructured Content
FAX MFP SCAN WEB MOBILE E-MAIL
Empowering the new digital workforce to understand and process content everywhere
Addressing the Demand in the automation market
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Simplicity
Easy and fast to design and implement, delivering faster ROI, better customer experience
Intelligence
Advanced content IQ skills for structured & unstructured use cases
Extensibility
Build and deploy for many content centric processes across an entire enterprise organization
20% Accessible STRUCTURED CONTENT Databases System to System – Web System to System – Desktop Spreadsheets CSV Files 80% Inaccessible DOCUMENTS UNSTRUCTURED CONTENT Invoices Claims & Bills Purchase Orders Bill of Lading Financial Reports Legal Briefs Photos Email Text Contracts Leases Mortgage Docs Tax Docs
IDs Passports
ENABLED BY CONTENT IQ TODAY’S DIGITAL WORKER
How do you empower people in your organization to seamlessly incorporate, understand, and process content?
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Growth of Content Creates Significant Business Challenges
Consider processes involving content…
invoice
inquiry
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Sarah Burnett, Vice President, Everest Group
“It is the capability to automate content-centric processes that makes AI an ideal complementary technology to RPA. Using a combination of the two,
take in documents using AI, parse, classify, and understand meaning or sentiment and pass on the required action to RPA.”
CONTENT IQ COMPLEMENTS RPA Making Robots Smarter and Processes Efficient
Use Cases:
correspondence
Large Distributor of Consumer Goods in North America
Processing 500,000 bills of lading documents annually
American Multinational Conglomerate
Expanded RPA to Order-to-Cash global operations involving many languages and PO formats, leveraging FlexiCapture automated learning technology
Leader in Energy Management and Automation
Processing 120,000 stock return request documents from resellers and retailers
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DOCUMENT PROCESSING
Image processing, OCR, and PDF/Document processing
INTELLIGENT CLASSIFICATION
Clustering, Classification, and Categorization
ADVANCED DATA EXTRACTION
Assisted and Machine Learning, Extraction, Training on Documents and Validation
NLP AND UNDERSTANDING
Entity Extraction, Semantics, Understanding
Thank You!