Intelligent Text Analytics with ABBYY Compreno
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Learn how Compreno's text analytics technology understands text meaning based on this language representation and analyzes content to detect key textual elements and the relationships between them Try Compreno now https://www.abbyy.com/compreno/
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Intelligent Text Analytics with ABBYY Compreno
- 1. ABBYY Compreno Products ABBYY, 2017 © ABBYY Confidential
- 2. Agenda • ABBYY Overview • ABBYY Compreno Technology • Compreno-powered Products: InfoExtractor, Smart Classifier • Use Cases © ABBYY 2
- 4. ABBYY empowers customers to capture, extract and action information using artificial intelligence
- 5. ABBYY in 30 seconds Thousands of businesses worldwide rely on ABBYY for converting unstructured data into structured information. 5 ABBYY sets the global standard in document recognition, content capture and language-based technologies and solutions that integrate across the information lifecycle. ABBYY’s innovative Intelligent Capture technology, products, solutions and services are delivered in multiple platforms - cloud, mobile, desktop, server or SDK - directly or via a global partner network. 30,000+ corporate clients 40M+ users Technology innovator with 600+ developers, 100+ patents and 100+ patent applications 500+ partners serving 200+ countries and territories 1 2 3
- 6. International HQ, Russia, 3A, ABBYY LS North American HQ Eastern European HQ European HQ A Global Company ABBYY was founded in 1989 16 offices located in 13 countries serve ABBYY global customers. 130+ countries where ABBYY has projects 6 Countries and territories, where ABBYY has projects. ABBYY offices
- 7. Leading Global Hardware and Software Developers Trust ABBYY Technologies 7
- 8. ABBYY Compreno Intelligent Text Analytics 8
- 9. Drowning in Unstructured Information • The MORE DATA , the LESS CONTROl over the content • With the explosion of BIG CONTENT companies lack resources to quickly DISCOVER AND ANALYZE the growing amounts of information • Growing competitive requirements signify pressure to accelerate and improve existing processes for INFORMATION GOVERNANCE © ABBYY 9 Unstructured Data Structured Data * According to research by IDC Amount of data stored throughout the world* (exabytes)
- 10. Compreno Text Analytics Natural Language Processing technology © ABBYY 10 Understands the meaning of words in a context Uncovers relationships between words ABBYY Compreno enables knowledge professionals to extract insights and intelligence from unstructured text, transforming ‘dark data’ into useful, actionable information. 1 2 3
- 11. How ABBYY Compreno works © ABBYY 11 Creates universal language- independent structure of the text Understands text meaning based on this language representation Analyzes content to detect key textual elements and the relationships between them
- 12. Connect entities with other entities and facts, even if the words that define them are replaced with pronouns or omitted in the text Example: The company has denied reports it is preparing to default on its loans if it cannot reach agreement on its bailout terms with international creditors 12 Natural Language Processing Identify relationships between the words Get the complete story
- 13. 13 Gather only relevant facts Natural Language Processing Define the contextual meaning of a word
- 14. Example: Some people work with PDF documents but not all employees do. 14 Don’t miss any valuable facts Natural Language Processing Detect omitted words
- 15. Ensures professional language- based classification to accurately put unstructured content into order. Extracts critical information from unstructured data powering business tasks that require granular content analysis and understanding © ABBYY 15 ABBYY Compreno-powered Solutions
- 16. ABBYY InfoExtractor 16© ABBYY Activate your data with powerful information extraction solution that reveals entities, events and relations across unstructured texts.
- 17. Business Challenges • Lack of resources to address the explosion of Big Content • Existing manual processes are too slow and expensive • Revenue lost due to incomplete document lifecycle management • Insufficient quality of existing processes © ABBYY 17
- 18. ABBYY InfoExtractor SDK 18 • Provides granular insight into unstructured content • Automatically identifies and extracts business-relevant information: entities, facts, events and the relationships between them. • Business professionals get the necessary intelligence to make the right decisions, fast Confidential
- 19. • Entities to extract: – Lessor – Lessee – Acres – Land Location – Terms – Royalty Provision – … © ABBYY 19 Use case: Leases
- 20. • Entities to extract: – Lessor – Lessee – Acres – Land Location – Terms – Royalty Provision – … Use case: Leases © ABBYY 20
- 21. • Entities to extract: – Lessor – Lessee – Acres – Land Location – Terms – Royalty Provision – … Use case: Leases © ABBYY 21
- 22. • Entities to extract: – Lessor – Lessee – Acres – Land Location – Terms – Royalty Provision – … Use case: Leases © ABBYY 22
- 23. InfoExtractor: Features 23Confidential Accurate extraction of entities and events Natural Language Processing Scaling and applicability to different tasks Working with text regardless of source ABBYY’s world-famous OCR is embedded in InfoExtractor and seamless integration with ABBYY Recognition Server is possible. Entities like Persons, Organizations, Places, or facts like Deals, Purchases, Employment, Family relationships, etc. Powered by Compreno technology, InfoExtractor understands the meaning of words and relations between them. For example, it can detect the deal that link a buyer and a seller and indentify the related financial figures. Create ontology dictionaries to extract complex names like Aditya Prasad Kola, or organizations like Mengniu. Ontologies for specific industries or processes can be customized upon request by ABBYY.
- 24. © ABBYY 24 InfoExtractor: Benefits Find intelligence to make critical decisions faster Business professionals navigate directly to the relevant facts they need to make valuable decisions. Uncover hidden risks Connect entities, facts and events. Get the big picture of the relationships between persons or organizations mentioned in various pieces of content. Minimize costs and efforts Accelerate and automate content upload and analysis to optimize manual processes.
- 25. ABBYY Smart Classifier 25© ABBYY Confidential Put your unstructured content into order with professional language-based classification.
- 26. Business Challenges • Lack of control over Big Content • Inefficient manual processes • Delays in business processes • Lack of expertise to set up classification workflow • Poor information governance and compliance © ABBYY 26
- 27. ABBYY Smart Classifier 27 • Professional content classification that doesn’t require any specific knowledge • Accurately puts unstructured content in order • Quickly sorts document archives or routes emails and customer requests according to both statistic and semantic analysis of content Confidential
- 28. Smart Classifier: Features 28Confidential Auto-classification of content Model editor UI – no specific knowledge required Automatic algorithm optimization Combination of statistical and semantic analysis for precise classification of unstructured data. Understands the exact meaning of words to increase categorization accuracy. UI, accessible for any business user - to easily and quickly create and tune classification model. 39 languages for classification Automatic language detection and document classification for all major European and Asian languages. Input formats include PDFs and scans. Selection of the best-performing algorithm for each document set.
- 29. © ABBYY 29 Smart Classifier: Benefits Efficient Information Governance with category-based document routing, archiving, search and filtering Enhanced compliance with data retention policies and data confidentiality control Faster customer service by automating responses to customer requests Acceleration of document processing workflows with automatic routing of documents or emails
- 31. Contract Management • Use Case: Mass contract ingestion • Document Type: Contract • Customer: ISVs, Service Providers • Benefit: Extend service offering & increase revenues • ABBYY Product: Smart Classifier, InfoExtractor © ABBYY 31
- 32. Customer On-Boarding • Use Case: Capture & upload company information at point of entry into the bank’s scoring system to automate account opening • Document Type: Statutory documents, contracts • Customer: Banks • Benefit: Accelerate document processing • ABBYY Product: InfoExtractor © ABBYY 32
- 33. Applicant Tracking • Use Case: Tag and upload CVs to improve search • Document Type: CV • Customer: HR departments • Benefit: Minimize resources required to process all the necessary CVs • ABBYY Product: InfoExtractor © ABBYY 33
- 34. Credit Risk Mitigation • Use Case: Decision on providing loans. Check various sources of information on potential loan customers. • Document Type: Contracts, statutory documents, court decisions • Customer: Banks • Benefit: Accelerate document processing • ABBYY Product: InfoExtractor © ABBYY 34
- 35. Customer Request Processing • Use Case: Timely and accurate routing of customer requests • Document Type: Customer Requests • Customer: Government organizations & Enterprises • Benefit: Minimize response time, improve compliance, raise customer satisfaction • ABBYY Product: Smart Classifier © ABBYY 35
- 36. © ABBYY 36 THANK YOU
Editor's Notes
- Lack of resources to address the explosion of Big Content Overload of unstructured content puts pressure on knowledge workers that need to quickly discover and analyze the growing amounts of information. Companies lack resources to manually comb through hundreds of reports, contracts and other content to dig out the necessary information required for taking business-critical decisions. Existing manual processes are too slow and expensive Manual processes are too expensive and are not able to address the growing competitive requirements to accelerate customer on-boarding or providing them with the necessary services and benefits in a fraction of time. Delays can’t be acceptable as they push customers to look for alternative solutions. Lost revenue due to incomplete document lifecycle management When manual content analysis is barely impossible, companies prefer to loose revenues, but stay safe. The other reason of lost revenue is the incomplete document processing cycle with a third-party involved to provide information extraction and creation of records in the company’s systems. Insufficient quality of existing processes Statistical approaches lack deep insight into content and are unable to provide the desired recall and precision of information extraction. Manual detection of key entities and facts in multiple documents is not only time-consuming and costly but also leads to potential human-related errors.
- Powered by Compreno natural language processing technology, ABBYY InfoExtractor provides granular insight into unstructured texts, automatically revealing entities, facts, events and their relations across documents. Knowledge professionals quickly grasp the key facts required for analysis and triggering of business processes. And business professionals get the necessary intelligence to take the right decisions, fast.
- Get decision-critical information with less costs and efforts Knowledge professionals don’t need to spend time on manual content upload and can concentrate on higher-level exceptional tasks. Less employees are involved in data input and analysts getting more relevant incoming information. Business professionals find intelligence and insight to take decisions critical for their company faster. Empower knowledge professionals with the exact data that they need With Compreno natural language processing inside, AIE understands the core entities, facts and events of a document based on the meaning of the words and even if a word is omitted. Knowledge workers easily retrieve the exact information they need and spend less time on searching or manual content upload. Uncover risks hidden across documents Powered by Compreno text analysis, AIE connects entities, facts and events across piles of documents, barely impossible for full manual review. Highly skilled professionals navigate directly to the facts that may indicate potential risks. Companies get the big picture of relationships between persons or organizations mentioned in various pieces of content or their obligations across numerous contracts, leading to more control over the possible risks. Stay competitive with faster serving & on-boarding customers Accelerate analysis of unstructured documents, including initial documents required for verifying new customers or transaction–related documents required for transaction legitimacy check. Customers are enrolled and receive their services faster, bringing businesses higher revenues and building reputation. Ensure consistency and legitimacy of information extraction Intelligent text analysis algorithms deliver predictable results, liberating from potential human-related mistakes. Configurable confidence score allows to define which results should go through human validation to ensure that no piece of business-critical information is lost.
- Lack of control over big content With the amount of information inside organizations rapidly growing, critical data gets harder to search and locate. People spend time on duplicate content, being unaware that it has been already created and can be re-used. Inefficient manual processes Manual classification and manual document tagging are expensive, require time and efforts of knowledge professionals. It is simply unworkable for Big Content. Besides, human-related errors may lead to data leakage and loss. Delays in business processes Low speed of business processes and activities are unacceptable for companies struggling to be competitive and provide timely and high-value services to their customers. Lack of expertise to set up new workflows Content classification and routing solutions are typically complex to setup, require extensive training sets of documents and should be maintained by a high-skilled professional. Accurate classification is accessible only for technical pros able to tune advanced parameters in hard-to-use, labor-intensive applications. Poor information governance and compliance Inappropriate handling of critical records may strongly imply on organization’s compliance. Valuable data may be floating in data silos and represent potential risks instead of being identified as records.
- Organize unstructured content with ABBYY Smart Classifier and let knowledge professionals quickly search and retrieve the data they need. ABBYY Smart Classifier combines statistical and semantic analysis to automatically select the most appropriate category for archiving or routing a document. Being easy to set up and scale ABBYY Smart Classifier accelerates time-to-discovery, time-to-decision and time-to-revenue.
- Automatic content classification Accurately route documents to the most appropriate category or a workflow. Based on natural language processing technology, ABBYY Smart Classifier understands the meaning of words and organizes content according to not only statistical analysis but to the meaning of text. Model Editor that doesn’t require any specific knowledge to start Doesn’t require any specific knowledge to create a model, train the system and launch a classification workflow. Smart Classifier automatically selects the most appropriate model and classification parameters so that the document gets to the exact category that is needed. Machine Learning to easily train the system Smart Classifier applies machine learning algorithms to automatically train on sample documents and select the most appropriate classification features, saving your time and efforts. Variety of input document languages and formats Embedded ABBYY OCR to process a variety of document types including PDFs or scans. Supports XX languages. Seamless integration Integrate ASC into your solution through REST APIs. Easily adjust the designs to fit your UI and provide your customers a unified solution.
- Efficient Information Governance Quickly organize and prioritize unstructured content with category-based document routing, archiving, and filtering so that knowledge professionals can efficiently retrieve valuable data. Generate metadata out of the large archived repositories to re-empower search and trigger critical business processes, including decision-making and analysis. Professional classification that doesn’t require any specific skills Setting up classification models or training the system doesn’t require specific technical knowledge and is quickly accessible to merely anyone. Acceleration of document processing workflows Automatic routing of incoming documents, including customer requests or emails allows the acceleration and automatic selection of the most suitable category, workflow or responsible person. Minimized risk of data leakage or loss Identify policy violations and uncover hidden risks. Find documents that are floating through your organization or reside in data silos and can potentially bring risks Enhanced compliance Automatic content classification enables you to identify data that should be discarded or archived at a targeted, granular level. Keep only the data that has a value and requires to be kept and get rid of data silos that only adds additional storage costs.