Document Processing Using Machine Learning
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Document Processing Using Machine Learning
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Author : Sk Md Obaidullah
language : en
Publisher: CRC Press
Release Date : 2019-11-25
Document Processing Using Machine Learning written by Sk Md Obaidullah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-25 with Computers categories.
Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: · The role of AI for document image analysis · Optical character recognition · Machine learning algorithms for document analysis · Extreme learning machines and their applications · Mathematical foundation for Web text document analysis · Social media data analysis · Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.
Intelligent Automation With Ibm Cloud Pak For Business Automation
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Author : Allen Chan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-12-09
Intelligent Automation With Ibm Cloud Pak For Business Automation written by Allen Chan and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-09 with Computers categories.
Leverage the low-code/no-code approach in IBM Cloud Pak for business automation to accelerate your organization's digital transformation Purchase of the print or Kindle book includes a free eBook PDF Key FeaturesGet a comprehensive understanding of IBM Cloud Pak for Business AutomationTake a deep dive into insights on RPA, workflow automation, and automated decisionsDeploy and manage production-grade automated solutions for scalability, stability, and performanceBook Description COVID-19 has made many businesses change how they work, change how they engage their customers, and even change their products. Several of these businesses have also recognized the need to make these changes within days as opposed to months or weeks. This has resulted in an unprecedented pace of digital transformation; and success, in many cases, depends on how quickly an organization can react to real-time decisions. This book begins by introducing you to IBM Cloud Pak for Business Automation, providing a hands-on approach to project implementation. As you progress through the chapters, you'll learn to take on business problems and identify the relevant technology and starting point. Next, you'll find out how to engage both the business and IT community to better understand business problems, as well as explore practical ways to start implementing your first automation project. In addition, the book will show you how to create task automation, interactive chatbots, workflow automation, and document processing. Finally, you'll discover deployment best practices that'll help you support highly available and resilient solutions. By the end of this book, you'll have a firm grasp on the types of business problems that can be solved with IBM Cloud Pak for Business Automation. What you will learnUnderstand key IBM automation technologies and learn how to apply them Cover the end-to-end journey of creating an automation solution from concept to deploymentUnderstand the features and capabilities of workflow, decisions, RPA, business applications, and document processing with AIAnalyze your business processes and discover automation opportunities with process miningSet up content management solutions that meet business, regulatory, and compliance needsUnderstand deployment environments supported by IBM Cloud Pak for Business AutomationWho this book is for This book is for robotic process automation (RPA) professionals and automation consultants who want to accelerate the digital transformation of their businesses using IBM automation. This book is also useful for solutions architects or enterprise architects looking for best practices to build resilient and scalable AI-driven automation solutions. A basic understanding of business processes, low-code visual modeling techniques, RPA, and AI concepts is assumed.
Ai In Finance Transforming Banking With Intelligent Algorithms
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Author : DIZZY DAVIDSON
language : en
Publisher: Pure Water Books
Release Date : 2024-07-28
Ai In Finance Transforming Banking With Intelligent Algorithms written by DIZZY DAVIDSON and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-28 with Computers categories.
Are you struggling to fully understand how AI is transforming the finance and banking industry? Do you find it challenging to keep up with the rapid advancements in AI technology and its applications in finance? Look no further! “AI in Finance: Transforming Banking with Intelligent Algorithms” is your ultimate guide to navigating the complex world of AI in the financial sector. This book demystifies AI and provides you with the knowledge and tools to harness its power effectively. Benefits of Reading This Book: Comprehensive Understanding: Gain a deep understanding of how AI is revolutionizing fraud detection, algorithmic trading, personalized banking, and risk management. Practical Applications: Learn about 20 real-world AI applications in banking and finance, from automated credit scoring to predictive analytics. Enhanced Skills: Equip yourself with the skills to implement AI solutions in your financial operations, improving efficiency and security. This book is a must-read for anyone looking to stay ahead in the rapidly evolving world of finance. Whether you’re a finance professional, a tech enthusiast, or simply curious about AI, this book offers valuable insights and practical knowledge. Why This Book is Essential: Expert Insights: Written by industry experts, this book provides authoritative insights into the latest AI technologies and their impact on finance. Real-World Examples: Discover case studies and examples of successful AI implementations in banking. Future Trends: Explore emerging trends and future prospects of AI in the financial sector. Bullet Points Discover how AI is revolutionizing fraud detection and risk management. Learn about AI-powered chatbots and virtual assistants for personalized banking. Understand the role of AI in algorithmic trading and market trend analysis. Explore real-world applications of AI in credit scoring and loan underwriting. Gain insights into the future of AI in regulatory compliance and financial planning. Don’t miss out on the opportunity to transform your understanding of AI in finance. Get your copy of “AI in Finance: Transforming Banking with Intelligent Algorithms” today and unlock the benefits of cutting-edge AI knowledge. Become a leader in the financial industry by mastering the concepts and applications of AI.
Automatic Digital Document Processing And Management
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Author : Stefano Ferilli
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-03
Automatic Digital Document Processing And Management written by Stefano Ferilli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-03 with Computers categories.
This text reviews the issues involved in handling and processing digital documents. Examining the full range of a document’s lifetime, the book covers acquisition, representation, security, pre-processing, layout analysis, understanding, analysis of single components, information extraction, filing, indexing and retrieval. Features: provides a list of acronyms and a glossary of technical terms; contains appendices covering key concepts in machine learning, and providing a case study on building an intelligent system for digital document and library management; discusses issues of security, and legal aspects of digital documents; examines core issues of document image analysis, and image processing techniques of particular relevance to digitized documents; reviews the resources available for natural language processing, in addition to techniques of linguistic analysis for content handling; investigates methods for extracting and retrieving data/information from a document.
Intelligent Document Processing Idp A Comprehensive Guide To Streamlining Document Management
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Intelligent Document Processing Idp A Comprehensive Guide To Streamlining Document Management written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The world of document management is evolving rapidly, and organizations are increasingly turning to Intelligent Document Processing (IDP) to streamline their document management processes. This comprehensive guide serves as a valuable resource for individuals and organizations embarking on their IDP journey. It offers a step-by-step approach, practical tips, and best practices to help readers successfully implement IDP and achieve significant improvements in efficiency, accuracy, and cost savings. In today's digital age, the volume and complexity of documents continue to grow exponentially, posing significant challenges for organizations across industries. Traditional manual document management processes are time-consuming, error-prone, and resource-intensive, leading to inefficiencies and missed opportunities. However, the advent of Intelligent Document Processing (IDP) presents a game-changing solution. Intelligent Document Processing combines the power of artificial intelligence, machine learning, and automation technologies to extract and process data from unstructured documents swiftly and accurately. By automating manual tasks, organizations can enhance productivity, improve data accuracy, and optimize their document management workflows. This guide serves as a roadmap for readers looking to harness the potential of IDP and transform their document management practices. The chapters of this guide take readers on a comprehensive journey through the world of IDP. It begins with an introduction to document management and the concept of Intelligent Document Processing. Readers will gain a clear understanding of the benefits and importance of implementing IDP in their organizations. The guide then delves into the key aspects of implementing IDP. It covers topics such as assessing document management needs, identifying document types and formats, analyzing document volume and complexity, and evaluating existing document management processes. These chapters provide practical insights, tips, and strategies to help readers assess their current state and identify areas for improvement. As the journey progresses, the guide dives into creating an IDP strategy, including setting clear goals and objectives, selecting the right IDP solution, and defining key performance indicators (KPIs). It emphasizes the importance of customization and adaptation to align with specific organizational needs and goals. The guide further explores preparing documents for IDP, including standardizing formats and layouts, optimizing image quality and resolution, and implementing document classification and indexing. It provides detailed guidance on leveraging intelligent capture technologies, extracting data from structured and unstructured documents, and validating and verifying extracted data. The chapters also cover crucial aspects such as integrating IDP with existing systems, monitoring and measuring IDP performance, change management, and user adoption. They address data security and compliance requirements, as well as provide real-world case studies and success stories to inspire and educate readers. Throughout the guide, readers will find tips, recommendations, and best practices from industry leaders who have successfully implemented IDP. These insights serve as valuable lessons learned and provide practical guidance for readers as they embark on their IDP journey. In conclusion, this comprehensive guide equips readers with the knowledge and tools needed to implement Intelligent Document Processing successfully. By following the chapters, tips, recommendations, and strategies outlined in this guide, organizations can streamline their document management processes, achieve significant improvements in efficiency and accuracy, and drive tangible business outcomes. The IDP journey begins here, offering endless possibilities for optimizing document management in the digital era.
The Paradigm Shift From A Linear Economy To A Smart Circular Economy
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Author : Mansoor Alaali
language : en
Publisher: Springer Nature
Release Date : 2025-07-28
The Paradigm Shift From A Linear Economy To A Smart Circular Economy written by Mansoor Alaali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Technology & Engineering categories.
The concept of the circular economy has attracted the attention of scholars, researchers, professionals, and policymakers in recent years. The notion is characterised as an economy that intends to keep products, stocks, work in progress and materials at their highest utility and value continually, distinguishing between their technical and biological cycles. It is devised as a continuous positive development cycle that reserves and improves natural resources, optimizes outputs, and minimizes supply chain related risks by overseeing limited stocks and renewable flows of the stocks. Several legislations and policies are being developed to motivate and integrate SDGs and net zero-related approaches in companies, among which the circular economy (CE) is gaining momentum due to its documented impact on the elements of the SDGs and net zero. Efficient management of resources and utility via artificial intelligence is vital towards a smart circular economy by minimising waste/losses, pollution, and extraction of virgin resources. It is important to note that there is a difference between smart and traditional circular economies. This book focuses on the former and makes distinctions in terms of how technology systems and solutions can be effectively and efficiently implemented. This book “The Paradigm Shift from a Linear Economy to a Smart Circular Economy: The Role of Artificial Intelligence-Enabled Systems, Solutions and Legislations” discusses the transition from linear to smart circular economy by dissecting the role of artificial intelligence and other technologies such as big data, IoT and blockchain in such transformations. The book further aims to provide a platform for researchers, professionals, and students to closely investigate, discuss and examine the theories, philosophies, ontologies and the role of governments, policymakers, and businesses in supporting the transition to a smart economy via national initiatives, fiscal policies, and corporate governance. The book highlights the need for collaborative efforts between various actors including the private and public sectors through cross-disciplinary approaches to attain, maintain and sustain a smart circular economy.
Intelligent Document Processing With Aws Ai Ml
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Author : Sonali Sahu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-10-21
Intelligent Document Processing With Aws Ai Ml written by Sonali Sahu and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-21 with Computers categories.
Build real-world artificial intelligence applications across industries with the help of intelligent document processing Key FeaturesTackle common document processing problems to extract value from any type of documentUnlock deeper levels of insights on IDP in a more structured and accelerated way using AWS AI/MLApply your knowledge to solve real document analysis problems in various industry applicationsBook Description With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs. This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You'll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems. By the end of this AWS book, you'll have mastered the fundamentals of document processing with machine learning through practical implementation. What you will learnUnderstand the requirements and challenges in deriving insights from a documentExplore common stages in the intelligent document processing pipelineDiscover how AWS AI/ML can successfully automate IDP pipelinesFind out how to write clean and elegant Python code by leveraging AIGet to grips with the concepts and functionalities of AWS AI servicesExplore IDP across industries such as insurance, healthcare, finance, and the public sectorDetermine how to apply business rules in IDPBuild, train, and deploy models with serverless architecture for IDPWho this book is for This book is for technical professionals and thought leaders who want to understand and solve business problems by leveraging insights from their documents. If you want to learn about machine learning and artificial intelligence, and work with real-world use cases such as document processing with technology, this book is for you. To make the most of this book, you should have basic knowledge of AI/ML and python programming concepts. This book is also especially useful for developers looking to explore AI/ML with industry use cases.
Intelligent Document Processing
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Author : Lahiru Fernando
language : en
Publisher: Notion Press
Release Date : 2023-08-09
Intelligent Document Processing written by Lahiru Fernando and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-09 with Computers categories.
Document processing is a topic that has gained much traction for many years due to its complexity and manual effort. Many document management systems got introduced to simplify document management. At the same time, Robotic Process Automation (RPA) evolved at a rapid pace connecting with state-of-the-art technologies such as Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP) to understand the ways humans communicate. The technology used for AI, ML, and NLP enabled the world to build models that can learn by themselves and use their intelligence to understand the content of any given document. Today, Intelligent Document Processing (IDP) and RPA work together to automate most document-related activities, freeing up users to focus on more critical tasks. Intelligent Document Processing: A Guide for Building RPA Solutions is a mini-guide that gives the readers insights on methods to achieve the best out of Intelligent Document Understanding solutions built within RPA workflows. Further, the mini-book provides real-world use cases, technical challenges, best practices, industry trends, links to many external research articles, and detailed discussions focussing on building effective and scalable RPA solutions to process documents intelligently. The book also contains the author's personal experiences on multiple intelligent document automation projects. This mini-book should be seen as an overview of the current state of technology, with practical guidance and solutions. Best used as a reference guide to help you with your “Optical AI” initiatives.
Document Processing And Retrieval
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Author : Qianhong Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Document Processing And Retrieval written by Qianhong Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Document Processing and Retrieval: TEXPROS focuses on the design and implementation of a personal, customizable office information and document processing system called TEXPROS (a TEXt PROcessing System). TEXPROS is a personal, intelligent office information and document processing system for text-oriented documents. This system supports the storage, classification, categorization, retrieval and reproduction of documents, as well as extracting, browsing, retrieving and synthesizing information from a variety of documents. When using TEXPROS in a multi-user or distributed environment, it requires specific protocols for extracting, storing, transmitting and exchanging information. The authors have used a variety of techniques to implement TEXPROS, such as Object-Oriented Programming, Tcl/Tk, X-Windows, etc. The system can be used for many different purposes in many different applications, such as digital libraries, software documentation and information delivery. Audience: Provides in-depth, state-of-the-art coverage of information processing and retrieval, and documentation for such professionals as database specialists, information systems and software developers, and information providers.
Intelligent Algorithms In Software Engineering
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Author : Radek Silhavy
language : en
Publisher: Springer Nature
Release Date : 2020-08-08
Intelligent Algorithms In Software Engineering written by Radek Silhavy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-08 with Technology & Engineering categories.
This book gathers the refereed proceedings of the Intelligent Algorithms in Software Engineering Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Software engineering research and its applications to intelligent algorithms have now assumed an essential role in computer science research. In this book, modern research methods, together with applications of machine and statistical learning in software engineering research, are presented.