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ABBYY
Technology
Summit
2017
© ABBYY Confidential
ABBYY NAHQ, 2017
Andrew Rayner (UiPath)
UiPath &
Robotic
Process
Automation
(RPA)
© ABBYY Confidential
© ABBYY Confidential
OUR VISION
We believe human work
should be creative and
inspiring.
We anticipate that everything
that...
© ABBYY Confidential 4
Robotics Process Automation (RPA) – What is
that?
RPA emulates human execution of
repetitive proces...
© ABBYY Confidential 5
PROVEN
BENEFITS
OF RPA
75+%
65+%
100%ERROR
REDUCTION
COST REDUCTION
CYCLE TIME
REDUCTION
HIGH SCALA...
“Better technology means
better automation”
Daniel Dines, UiPath CEO / Founder
© ABBYY Confidential 6
© ABBYY Confidential 7
Our Vision
and Mission
OUR VISION
We believe human work
should be creative and
inspiring.
We antici...
2005
Built the first automation
libraries for developers
worldwide.
2015
Enterprise RPA Platform:
Mgmt. Console,
Attended,...
© ABBYY Confidential 9
OUR VISION
We believe human work
should be creative and
inspiring.
We anticipate that everything
th...
© ABBYY Confidential 10
OUR MISSION
We help companies develop an
agile digital workforce that
enables them to eliminate
re...
© ABBYY Confidential 11
OUR MISSION
We help companies develop an
agile digital workforce that
enables them to eliminate
re...
© ABBYY Confidential 12
+
POWERFUL YET SIMPLE TO USE
FASTEST TO IMPLEMENT
HIGHLY SCALABLE
EXTENSIBLE & INTELLIGENT
The UiP...
© ABBYY Confidential 13
+
POWERFUL YET SIMPLE TO USE
FASTEST TO IMPLEMENT
HIGHLY SCALABLE
EXTENSIBLE & INTELLIGENT
The UiP...
UiPath &
ABBYY
Strategic
Partnership
© ABBYY Confidential
© ABBYY Confidential 15
Safe Harbour Statement
The following is intended to outline our
general product direction with ABB...
© ABBYY Confidential 16
TODAY
SDK RESULTS
ABBYY
FineReader
SDK
We offer UiPath developers the ability to OCR images & docu...
© ABBYY Confidential 17
Intelligent Data Extraction
Up to 3.5 million images a day
Up to 1000 scanning operators
Up to 300...
© ABBYY Confidential 18
Decision Making
User Task Mgt.
NEXT
Unstructured Data
Stream
Structured
Data Transaction
AI
Engine...
© ABBYY Confidential
Natural Language
NEXT INTELLIGENT PROCESS AUTOMATION for Human Language Intent Extraction
User Task M...
© ABBYY Confidential
The Intelligent Automation Journey
20
Collection of semi structured or
unstructured data from end use...
Case Study
© ABBYY Confidential
© ABBYY Confidential 22
Accounts Payable Indexing process with over 850,000 invoices to index per year
The robot needs to ...
© ABBYY Confidential 23
• UiPath’s Robots access
the scanned documents
and moves the image files
to a hot folder on ABBYY’...
© ABBYY Confidential 24
Benefits
Average time required for a human to process an invoice is between 5 and 10 minutes
takin...
Thank You
Any Questions?
© ABBYY Confidential 25
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Reducing Labor Costs Up to 75% Through Robotic Process Automation (RPA) Powered by ABBYY FineReader Engine (FRE) at #ABBYYSummit17

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On average, internal processing costs are reduced by 75% when Robotic Process Automation (RPA) is implemented in a heavy, manual-labor process. Digital business environments are more than a trend as it shows potential to remove 50% of full-time employees (FTEs). RPA is a strategic way to think about how business processes are solved, delivered, and managed. By using ABBYY FRE to automate mundane manual work, you’ll soon find yourself inspired to take your own steps towards implementing a virtual workforce with ROI in months, not years.

Speaker: Andrew Rayner, Product Director, UiPath

Publicada em: Tecnologia
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Reducing Labor Costs Up to 75% Through Robotic Process Automation (RPA) Powered by ABBYY FineReader Engine (FRE) at #ABBYYSummit17

  1. 1. ABBYY Technology Summit 2017 © ABBYY Confidential ABBYY NAHQ, 2017 Andrew Rayner (UiPath)
  2. 2. UiPath & Robotic Process Automation (RPA) © ABBYY Confidential
  3. 3. © ABBYY Confidential OUR VISION We believe human work should be creative and inspiring. We anticipate that everything that could be automated, will be. OUR MISSION We help companies develop an agile digital workforce that enables them to eliminate repetitive business efforts and improve operational quality. Our RPA technology has been proven to automate more efficiently. Scalable operating modelCost challenges Growth ambition Complex IT landscape Manual workarounds Need to be agile Low investment appetite Manual control environment High operating cost Process improvement/ cost reduction Outsourcing and offshoring Core system replacement System integration Move to digital, mobile and self-service Business agenda Typical obstacles Traditional solutions RPA can be implemented faster, cheaper and more flexible than traditional solutions A new alternative 3
  4. 4. © ABBYY Confidential 4 Robotics Process Automation (RPA) – What is that? RPA emulates human execution of repetitive processes within existing applications. RPA sits alongside existing infrastructure governed and controlled by IT. RPA is a virtual workforce controlled by the business operation teams. Robotic Process Automation has proven to be a remarkably nonintrusive, high ROI automaton solution for manual, repetitive, rule-driven business processes that rely upon structured data. However, widespread adoption of RPA automation requires an enterprise-grade technology; robotic software that delivers intelligent RPA – autonomous scalability and performance that incorporates AI and machine learning to handle high-volume tasks previously requiring humans.
  5. 5. © ABBYY Confidential 5 PROVEN BENEFITS OF RPA 75+% 65+% 100%ERROR REDUCTION COST REDUCTION CYCLE TIME REDUCTION HIGH SCALABILITY WITHIN MINUTES
  6. 6. “Better technology means better automation” Daniel Dines, UiPath CEO / Founder © ABBYY Confidential 6
  7. 7. © ABBYY Confidential 7 Our Vision and Mission OUR VISION We believe human work should be creative and inspiring. We anticipate that everything that could be automated, will be. OUR MISSION We help companies develop an agile digital workforce that enables them to eliminate repetitive business efforts and improve operational quality. Our RPA technology has been proven to automate more efficiently.
  8. 8. 2005 Built the first automation libraries for developers worldwide. 2015 Enterprise RPA Platform: Mgmt. Console, Attended, Unattended Robots. BPO partnering (e.g. Cognizant, Capgemini); Global Services partners (e.g. Deloitte, NIIT, EY). 2013 1st UiPath Desktop RPA product: based on Microsoft Workflow Designer .Net Technology. 1st global customer: Dell Computer. 2016 Revenues up by 300%. Opens London office & India operations. Employee count: 124 UiPath Academy Launched. Community Edition Released - hits 10K active members in 6 months. 2017 NYC (HQ), Tokyo, Hong Kong, Singapore, Paris offices opened. $30M Series A Funding led by Accel. Revenues up 450% Employee Count: 248 OUR INFANCY OUR FIRST UI AUTOMATION TIPPING POINT GROWTH GLOBAL FOOTPRINT
  9. 9. © ABBYY Confidential 9 OUR VISION We believe human work should be creative and inspiring. We anticipate that everything that could be automated, will be. OUR MISSION We help companies develop an agile digital workforce that enables them to eliminate repetitive business efforts and improve operational quality. Our RPA technology has been proven to automate more efficiently. + POWERFUL YET SIMPLE TO USE FASTEST TO IMPLEMENT HIGHLY SCALABLE EXTENSIBLE & INTELLIGENT The UiPath Product Platform
  10. 10. © ABBYY Confidential 10 OUR MISSION We help companies develop an agile digital workforce that enables them to eliminate repetitive business efforts and improve operational quality. Our RPA technology has been proven to automate more efficiently. + POWERFUL YET SIMPLE TO USE FASTEST TO IMPLEMENT HIGHLY SCALABLE EXTENSIBLE & INTELLIGENT The UiPath Product Platform
  11. 11. © ABBYY Confidential 11 OUR MISSION We help companies develop an agile digital workforce that enables them to eliminate repetitive business efforts and improve operational quality. Our RPA technology has been proven to automate more efficiently. + POWERFUL YET SIMPLE TO USE FASTEST TO IMPLEMENT HIGHLY SCALABLE EXTENSIBLE & INTELLIGENT The UiPath Product Platform
  12. 12. © ABBYY Confidential 12 + POWERFUL YET SIMPLE TO USE FASTEST TO IMPLEMENT HIGHLY SCALABLE EXTENSIBLE & INTELLIGENT The UiPath Product Platform
  13. 13. © ABBYY Confidential 13 + POWERFUL YET SIMPLE TO USE FASTEST TO IMPLEMENT HIGHLY SCALABLE EXTENSIBLE & INTELLIGENT The UiPath Product Platform
  14. 14. UiPath & ABBYY Strategic Partnership © ABBYY Confidential
  15. 15. © ABBYY Confidential 15 Safe Harbour Statement The following is intended to outline our general product direction with ABBYY. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code,. or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for UiPath’s products remains at the sole discretion of UiPath.
  16. 16. © ABBYY Confidential 16 TODAY SDK RESULTS ABBYY FineReader SDK We offer UiPath developers the ability to OCR images & documents using the ABBYY FineReader SDK within UiPath Studio UiPath End-to-End Automation, Data Collection and Validation, Exception handling and structured data transaction ABBYY Powerful OCR capability to return text and data from a document/image. OCR Data Extraction
  17. 17. © ABBYY Confidential 17 Intelligent Data Extraction Up to 3.5 million images a day Up to 1000 scanning operators Up to 300 verification operators Scalable to meet growth needs Supports load balancing and clustering Integrates template form recognition based on templating Integrates invoice recognition based on learning Integrates form recognition based on learning NEXT We bring the best semi-structured to structure technology and seamlessly integrate into the UiPath platform
  18. 18. © ABBYY Confidential 18 Decision Making User Task Mgt. NEXT Unstructured Data Stream Structured Data Transaction AI Engine INTELLIGENT PROCESS AUTOMATION for Decision Making and Human Supervision UiPath Robot Orchestration SmartClassifier ABBYY 1. UiPath End-to-End Automation, Data Validation, Exception handling and structured data transaction 2. ABBYY Process Case Collection, Process Intent identification and Decision or Exception proposal 3. Case Management Data Capture and human-to-robot task allocation • Combines statistics, morphology and semantics • Creates meta data derived from the document context • Extracts plain text out of documents • Supervised classification • Classification result is probability score for category Human-to- Robot Task assignment and Document to Case Attachment
  19. 19. © ABBYY Confidential Natural Language NEXT INTELLIGENT PROCESS AUTOMATION for Human Language Intent Extraction User Task Mgt. Natural Language as Unstructured Data Structured Data Transaction AI Engine1. UiPath End-to-End Automation, Data Collection and Validation, Exception handling and structured data transaction 2. ABBYY Intent identification and data extraction based on defined ontology 3. Case Management Data Capture and human-to-robot task allocation InfoExtractor SDK Structured data extraction visualization in real time and task management ABBYY UiPath Robot Orchestration 19
  20. 20. © ABBYY Confidential The Intelligent Automation Journey 20 Collection of semi structured or unstructured data from end user system UiPath Data Collection Read data from images / documents Abbyy OCR Data Extraction Identify information from images / documents based on templating or learning Abbyy Intelligent Data Extraction Classify data based on machine learning Abbyy Decision Making Understand the intent based on the defined ontology Abbyy Natural Language Process structured data by performing end-to-end automation UiPath Process Automation
  21. 21. Case Study © ABBYY Confidential
  22. 22. © ABBYY Confidential 22 Accounts Payable Indexing process with over 850,000 invoices to index per year The robot needs to be able to understand the content of the documents, therefore additional technology is needed to structure the extracted data. ABBYY’s FlexiCapture engine extracts the scanned invoice data using OCR, interprets the extracted data using templating and machine learning 100% accuracy for the extracted data can’t be guaranteed, in this scenario where the financial information needs to be 100% accurate, manual validation is required. Once the data is extracted and validated, the robot can use the information to complete the automation. Accounts Payable in Global Finance Department OCR engines Machine learning Templates Definitions Data extraction OCR Data mapping Existent data validation Human validation Data validation
  23. 23. © ABBYY Confidential 23 • UiPath’s Robots access the scanned documents and moves the image files to a hot folder on ABBYY’s FlexiCapture server. At this point, the robot’s only job is to transfer the documents on the server so that ABBYY’s file processing can automatically start. • Once the documents is in the hot folder, ABBYY’s FC engine starts the processing of data, using complex machine learning algorithms and pre- defined templates combined with OCR capabilities to classify the information. • Working with Financial data, the information needs to be 100% accurate. Both OCR and Machine learning have less than 100% accuracy. Therefore, the data needs to be validated by an human operator using the UI of Verification Station. Although the process requires human intervention, it is still much faster than manual data extraction • Once the data is extracted, catalogued and validated, it is returned back to the robot in the form of an XML document. The robot parses the XML file, gets the financial information and continues the process of posting the information into various systems. Robot provides documents ABBYY processes docs Validation step RPA How it works
  24. 24. © ABBYY Confidential 24 Benefits Average time required for a human to process an invoice is between 5 and 10 minutes taking around 75 FTE to process the workload. 20-25 FTE reducing to 10-15 FTE required to work the fallout from automation e.g. manual validation when extraction returns a low confidence level and working exception cases Automating the AP Indexing process will eventually save on average 60 FTE (360 hours per day, 7,200 hours per month) TOTAL SAVING: 60 FTE / 7,200 hours pm ROI: 6-8 Months
  25. 25. Thank You Any Questions? © ABBYY Confidential 25

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