Building Digital Transformation Strategies with AI-Enabled ... · Enterprise applications and...
Transcript of Building Digital Transformation Strategies with AI-Enabled ... · Enterprise applications and...
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
ADVA
NCE
MEN
T
EFFORT
INNOVATING TECHNOLOGY IN WAVES
Integrated, transactional
Consumable Content IQ
Back Office
ProductionCapture
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AI Disciplines
6Source: Gartner, Technical Professional Advice “Driving an Effective AI Strategy”. May 2018
Language Processing
Computer Vision
Machine LearningFrameworks
4th Industrial Revolution
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1.0 Steam1784 1870 1969 2010
2.0 Electricity 3.0 Computer 4.0 AI
Industry 1.0
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Industry 2.0
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Industry 3.0
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Industry 4.0
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Future Workforce: Digital Worker
4th Industrial Revolution alters the global workforce
38%Investment in Al and Human-Machine Collaboration could boost revenues by 38% by 2022
Source: Accenture Research “Reworking The Revolution. Future Workforce”. 2018
• Conversational intelligence• Collaboration• Connecting ideas
• Machine leaning• Statistical correlation• Rapid search• Content analysis• Repetitive task execution
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 RobotsEnterprise applications and digital robotic processes designed to run
businesses
DatabasesRobotic 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 InteractionsReal-time, Content Centric
Processes
Structured & Unstructured Content
FAXMFP
SCANWEB
MOBILE
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
DatabasesSystem to System – WebSystem to System – Desktop
SpreadsheetsCSV Files
80%Inaccessible
DOCUMENTS
UNSTRUCTURED CONTENT
InvoicesClaims & Bills
Purchase Orders Bill of Lading
Financial ReportsLegal BriefsPhotos
EmailText
Contracts Leases
Mortgage DocsTax Docs
IDs Passports
ENABLED BYCONTENT 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…
• 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
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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, 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.”
CONTENT IQ COMPLEMENTS RPAMaking Robots Smarter and Processes Efficient
Use Cases:• Invoices• Purchase orders• Claims• Applications• Bills of lading• Customer
correspondence• Mortgage lending
Large Distributor of Consumer Goods in North AmericaProcessing 500,000 bills of lading documents annually
American Multinational ConglomerateExpanded 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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What Makes Up Content IQ
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DOCUMENT PROCESSINGImage processing, OCR, and PDF/Document processing
INTELLIGENT CLASSIFICATIONClustering, Classification, and Categorization
ADVANCED DATA EXTRACTIONAssisted and Machine Learning, Extraction, Training on Documents and Validation
NLP AND UNDERSTANDINGEntity Extraction, Semantics, Understanding
Thank You!