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

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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


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Steve Ponting Director of Customer Enablement — ABBYY

Building Digital Transformation Strategies with AI- Enabled Content Intelligence

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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

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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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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

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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

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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

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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…

  • 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,

  • rganizations 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.”

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CONTENT IQ COMPLEMENTS RPA Making 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 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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What Makes Up Content IQ

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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

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Thank You!