Intelligent Document Processing Idp
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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.
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.
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.
The Comprehensive Guide To Rpa Idp And Workflow Automation For Business Efficiency And Revenue Growth
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date : 2023-06-06
The Comprehensive Guide To Rpa Idp And Workflow Automation For Business Efficiency And Revenue Growth 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 2023-06-06 with Business & Economics categories.
In today's competitive business landscape, companies need to adopt innovative intelligent automation solutions to streamline their processes, cut costs, and drive revenue growth. Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and Workflow Automation are key technologies when combined have transformed the way businesses operate. This comprehensive guide will cover the fundamentals of these technologies, provide key tips, recommendations, and strategies to help your organization maximize its potential and gain a competitive edge.
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.
Artificial Intelligence In Records And Information Management
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Author : Mutsagondo, Samson
language : en
Publisher: IGI Global
Release Date : 2025-04-11
Artificial Intelligence In Records And Information Management written by Mutsagondo, Samson and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Language Arts & Disciplines categories.
As trending and general technology of the day, artificial intelligence (AI) has permeated every facet of life such as medicine, commerce, health as well as media. The records management domain is no exception. Records and information management benefit from AI by being relieved of many tedious processes that are may be easily subjected to manual oversight. Thus, through AI, compliance, security, and efficiency in records management can be greatly enhanced. Artificial Intelligence in Records and Information Management outlines and assesses the role and contribution of AI in the records and information management domain. It establishes how records and information management can benefit from the application of artificial intelligence inclusive of all its sub-technologies. Covering topics such as archival software, data governance, and academic scholarship, this book is an excellent resource for records officers, records managers, information professionals, archivists, documentalists, information and communication technology (ICT) professionals, heritage managers, museologists, historians, archaeologists, media professionals, professionals, researchers, scholars, academicians, and more.
Comprehensive Guide To Robotic Process Automation Rpa Tips Recommendations And Strategies For Success
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Comprehensive Guide To Robotic Process Automation Rpa Tips Recommendations And Strategies For Success 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 Technology & Engineering categories.
Welcome to the Comprehensive Guide to Robotic Process Automation (RPA). In today's rapidly evolving digital landscape, organizations are increasingly turning to automation technologies to streamline processes, improve efficiency, and drive digital transformation. Among these technologies, Robotic Process Automation (RPA) stands out as a powerful tool for automating repetitive, rule-based tasks, freeing up human resources to focus on more strategic and value-added activities. This comprehensive guide aims to provide you with a deep understanding of RPA and equip you with the knowledge and strategies needed for successful RPA implementation. Whether you are a business leader, an IT professional, or an individual looking to explore the world of automation, this guide will serve as a valuable resource to navigate the complexities of RPA. In this guide, we will start by laying the foundation with an introduction to RPA, its benefits, and common misconceptions. We will then guide you through the process of assessing process suitability, selecting the right RPA tool, and building a strong foundation for RPA implementation. You will learn about establishing a dedicated RPA team, developing a roadmap, and setting realistic goals and expectations. As we delve into the core chapters, we will explore RPA design principles, process flow, decision points, and efficient automation workflows. We will address important considerations such as error handling and exception management, data and system integration, and managing security and access controls. Furthermore, this guide will provide insights into RPA implementation best practices, including creating reusable automation components, ensuring version control and documentation, and implementing proper testing and debugging processes. We will also explore the crucial aspects of governance, control, change management, and the role of RPA in business process reengineering. To enhance your understanding of RPA, we will delve into advanced topics such as cognitive automation, artificial intelligence (AI) integration, and leveraging machine learning and natural language processing capabilities. We will discuss scaling RPA implementations, managing multiple automation projects, and overcoming challenges in large-scale deployments. Throughout this guide, we will share real-world case studies, highlighting successful RPA implementations and extracting key learnings from each. These case studies will provide practical insights into how organizations have leveraged RPA to transform their operations, achieve cost savings, and enhance customer experiences. Lastly, we will explore the future of RPA and the emerging trends that will shape the landscape of automation. We will discuss evolving capabilities, the impact of AI and machine learning on RPA, and predictions for the future of automation. With each chapter, you will find tips, recommendations, and strategies to address common challenges, mitigate risks, and drive successful RPA adoption within your organization. We understand that every organization is unique, and the journey to RPA implementation will vary. However, by following the guidance provided in this guide, you will be equipped with the necessary knowledge and tools to embark on a successful RPA journey. We hope that this comprehensive guide serves as a valuable resource and reference throughout your RPA implementation. So let's dive in and unlock the transformative power of Robotic Process Automation!
Artificial Intelligence And Robotics Integration
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Author : Dr.T.Y.Satheesha
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-06-12
Artificial Intelligence And Robotics Integration written by Dr.T.Y.Satheesha and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-12 with Computers categories.
Dr.T.Y.Satheesha, Associate Professor, School of Computer Science Engineering, REVA University, Bangalore, Karnataka, India. Dr.M.A.Mateen, Associate Professor, Department of Mechanical Engineering, School of Engineering and Technology, CMR University, Bangalore, Karnataka, India. Mrs.Tamizharasi.GS, Assistant Professor, Department of Computer Science and Engineering, School of Engineering and Technology, CMR University, Bangalore, Karnataka, India. Banupriya.M, Assistant Professor, Department of Information Technology, School of Engineering and Technology, CMR University, Bangalore, Karnataka, India. N.Bhavyadevi Vishalakshi, Assistant Professor, Department of Computer Science and Engineering, School of Engineering and Technology, CMR University, Bangalore, Karnataka, India.
Voices Of Innovation Payers
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Author : Edward W. Marx
language : en
Publisher: CRC Press
Release Date : 2024-09-04
Voices Of Innovation Payers written by Edward W. Marx and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-04 with Business & Economics categories.
As the health delivery landscape in the United States evolves in a post-COVID-19 era, both incumbents and new entrants are reimagining models of care. Technology and medical advancements are transforming the way care is delivered and experienced, and changes in regulations and incentives across the industry are redefining how the healthcare system works and interacts. As a result, care delivery is undergoing several transformations: from sick care to preventative whole-person care, from intermittent to continuous care, from facility-based settings to omnichannel offerings through virtual care and video or telephonic technologies, and from standardized to personalized solutions. In addition to healthcare providers, payers are also redefining their role in care delivery through provider ownership, technology, and provider enablement to deliver higher-value care to members. While the payer community has been slow to innovate, they now have an opportunity and an incentive to play an active role in reimagining the future of care delivery. In the past year alone, significant disruptors have entered the provider space threatening the existence of payers, specifically self-funded programs such as Amazon and Walmart. This has served as a giant wake-up call that healthcare has shifted. Now, more than ever, there is an emphasis on the patient and clinician experience. Perhaps hastened by the pandemic, the race is on for innovations from the payer community to improve patient and provider engagement. Unlike other players, payers have end-to-end visibility into individual care needs and utilization patterns across providers and settings. This perspective can provide informed choices around optimal care models, unlock value through improved health outcomes, and lower the total cost of care for members and customers. This book is loaded with numerous case studies and interviews with healthcare leaders from the payer community, helping stakeholders understand how to leverage innovation leading them to superior business and clinical outcomes. The book also discusses how and why data is key to innovation activities and how partnerships are key to using data effectively.
Hyperautomation For Next Generation Industries
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Author : Rajesh Kumar Dhanaraj
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-15
Hyperautomation For Next Generation Industries written by Rajesh Kumar Dhanaraj and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Technology & Engineering categories.
This book is essential for anyone looking to understand how hyperautomation can revolutionize businesses by simplifying operations, reducing errors, and creating more intelligent and adaptable workplaces through the use of automation technologies such as artificial intelligence, machine learning, and robotic process automation. The use of automation technologies to simplify any and every activity conceivable in a business, allowing repeated operations to operate without manual intervention, is known as hyperautomation. Hyperautomation transforms current and old processes and equipment by utilizing artificial intelligence, machine learning, and robotic process automation. This digital transformation may assist a business in gaining cost and resource efficiency, allowing it to prosper in a more competitive environment. With the advancement of automation technologies, hyperautomation is becoming more prevalent. Companies are shifting their methods to create more human-centered and intelligent workplaces. This change has ushered in a new era for organizations that rely on technology and automation tools to stay competitive. Businesses may move beyond technology’s distinct advantages to genuine digital agility and scale adaptability when all forms of automation operate together in close partnership. Automation tools must be simple to incorporate into the current technological stack while not requiring too much effort from IT. A platform must be able to plug and play with a wide range of technologies to achieve hyperautomation. The interdependence of automation technologies is a property that is connected to hyperautomation. Hyperautomation saves individuals time and money by reducing errors. Hyperautomation has the potential to create a workplace that is intelligent, adaptable, and capable of making quick, accurate decisions based on data and insights. Model recognition is used to determine what to do next and to optimize processes with the least amount of human engagement possible.