Encoding Sales Invoices Using Ai
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AI and Digital Technology for Oil and Gas Fields
The book essentially covers the growing role of AI in the oil and gas industry, including digital technologies used in the exploration phase, customer sales service, and cloud-based digital storage of reservoir simulation data for modeling. It starts with the description of AI systems and their roles within the oil and gas industry, including the agent-based system, the impact of industrial IoT on business models, and the ethics of robotics in AI implementation. It discusses incorporating AI into operations, leading to the reduction of operating costs by localizing control functions, remote monitoring, and supervision. Features of this book are given as follows: It is an exclusive title on the application of AI and digital technology in the oil and gas industry It explains cloud data management in reservoir simulation It discusses intelligent oil and gas well completion in detail It covers marketing aspects of oil and gas business during the exploration phase It reviews development of digital systems for business purposes This book is aimed at professionals in petroleum and chemical engineering, technology, and engineering management.
The Routledge Handbook of Accounting Information Systems
The Routledge Handbook of Accounting Information Systems is a prestige reference work offering a comprehensive overview of the state of current knowledge and emerging scholarship in the discipline of AIS. The pace of technological-driven change is rapid, and this revised edition provides a deeper focus on the technical underpinnings and organisational consequences of accounting information systems. It has been updated to capture the changes in technology since the previous edition. It now includes chapters and scholarly thought on artificial intelligence, predictive analytics and data visualisation, among others. Contributions from an international cast of authors provide a balanced overview of established and developing themes, identifying issues and discussing relevant debates. The chapters are analytical and engaging. Many chapters include cases or examples, and some provide additional resources for readers. The chapters also provide a reflection on where the research agenda is likely to advance in the future. This is a complete and indispensable guide for students and researchers in accounting and accounting information systems, academics and students seeking convenient access to an unfamiliar area, as well as established researchers seeking a single repository on the current debates and literature in the field.
Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem
The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem. Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare. This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.