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| automation in risk management: The Future of Risk Management Howard Kunreuther, Robert J. Meyer, Erwann O. Michel-Kerjan, 2019-07-26 Whether man-made or naturally occurring, large-scale disasters can cause fatalities and injuries, devastate property and communities, savage the environment, impose significant financial burdens on individuals and firms, and test political leadership. Moreover, global challenges such as climate change and terrorism reveal the interdependent and interconnected nature of our current moment: what occurs in one nation or geographical region is likely to have effects across the globe. Our information age creates new and more integrated forms of communication that incur risks that are difficult to evaluate, let alone anticipate. All of this makes clear that innovative approaches to assessing and managing risk are urgently required. When catastrophic risk management was in its inception thirty years ago, scientists and engineers would provide estimates of the probability of specific types of accidents and their potential consequences. Economists would then propose risk management policies based on those experts' estimates with little thought as to how this data would be used by interested parties. Today, however, the disciplines of finance, geography, history, insurance, marketing, political science, sociology, and the decision sciences combine scientific knowledge on risk assessment with a better appreciation for the importance of improving individual and collective decision-making processes. The essays in this volume highlight past research, recent discoveries, and open questions written by leading thinkers in risk management and behavioral sciences. The Future of Risk Management provides scholars, businesses, civil servants, and the concerned public tools for making more informed decisions and developing long-term strategies for reducing future losses from potentially catastrophic events. Contributors: Mona Ahmadiani, Joshua D. Baker, W. J. Wouter Botzen, Cary Coglianese, Gregory Colson, Jeffrey Czajkowski, Nate Dieckmann, Robin Dillon, Baruch Fischhoff, Jeffrey A. Friedman, Robin Gregory, Robert W. Klein, Carolyn Kousky, Howard Kunreuther, Craig E. Landry, Barbara Mellers, Robert J. Meyer, Erwann Michel-Kerjan, Robert Muir-Wood, Mark Pauly, Lisa Robinson, Adam Rose, Paul J. H. Schoemaker, Paul Slovic, Phil Tetlock, Daniel Västfjäll, W. Kip Viscusi, Elke U. Weber, Richard Zeckhauser. |
| automation in risk management: Robotic Process Automation and Risk Mitigation Mary Cecelia Lacity, Leslie Willcocks, 2017 |
| automation in risk management: Disrupting Finance Theo Lynn, John G. Mooney, Pierangelo Rosati, Mark Cummins, 2018-12-06 This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry. |
| automation in risk management: Operational Risk Management Ron S. Kenett, Yossi Raanan, 2011-06-20 Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of near-misses data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems. |
| automation in risk management: Security Risk Management for the Internet of Things John Soldatos, 2020-06-15 In recent years, the rising complexity of Internet of Things (IoT) systems has increased their potential vulnerabilities and introduced new cybersecurity challenges. In this context, state of the art methods and technologies for security risk assessment have prominent limitations when it comes to large scale, cyber-physical and interconnected IoT systems. Risk assessments for modern IoT systems must be frequent, dynamic and driven by knowledge about both cyber and physical assets. Furthermore, they should be more proactive, more automated, and able to leverage information shared across IoT value chains. This book introduces a set of novel risk assessment techniques and their role in the IoT Security risk management process. Specifically, it presents architectures and platforms for end-to-end security, including their implementation based on the edge/fog computing paradigm. It also highlights machine learning techniques that boost the automation and proactiveness of IoT security risk assessments. Furthermore, blockchain solutions for open and transparent sharing of IoT security information across the supply chain are introduced. Frameworks for privacy awareness, along with technical measures that enable privacy risk assessment and boost GDPR compliance are also presented. Likewise, the book illustrates novel solutions for security certification of IoT systems, along with techniques for IoT security interoperability. In the coming years, IoT security will be a challenging, yet very exciting journey for IoT stakeholders, including security experts, consultants, security research organizations and IoT solution providers. The book provides knowledge and insights about where we stand on this journey. It also attempts to develop a vision for the future and to help readers start their IoT Security efforts on the right foot. |
| automation in risk management: The Automation Advantage: Embrace the Future of Productivity and Improve Speed, Quality, and Customer Experience Through AI Bhaskar Ghosh, Rajendra Prasad, Gayathri Pallail, 2021-12-07 From the global automation leaders at Accenture—the first-ever comprehensive blueprint for how to use and scale AI-powered intelligent automation in the enterprise to gain competitive advantage through faster speed to market, improved product quality, higher efficiency, and an elevated customer experience. Many companies were already implementing limited levels of automation when the pandemic hit. But the need to rapidly change business processes and how organizations work resulted in the compression of a decade’s worth of digital transformation into a matter of months. Technology suddenly became the essential element for rapid organizational change and the creation of 360-degree value benefiting all stakeholders. Businesses are faced with the imperative to embrace that change or risk being left behind. In The Automation Advantage, global enterprise technology and automation veterans Bhaskar Ghosh, Rajendra Prasad, and Gayathri Pallail give business leaders and managers the action plan they need to execute a strategic agenda that enables them to quickly and confidently scale their automation and AI initiatives. This practical and highly accessible implementation guide answers leaders’ burning questions, such as: How do I identify and prioritize automation opportunities? How do I assess my legacy systems and data issues? How do I derive full value out of my technology investments and automation efforts? How can I inspire my employees to embrace change and the new opportunities presented by automation? The Automation Advantage goes beyond optimizing process to using AI to transform almost any business activity in any industry to make it faster, more streamlined, cost efficient, and customer-focused—vastly improving overall productivity and performance. Featuring case studies of successful automation solutions, this indispensable road map includes guiding principles for technology, governance, culture, and leadership change. It offers a human-centric approach to AI and automation that leads to sustainable transformation and measurable business results. |
| automation in risk management: Risk Management Handbook Federal Aviation Administration, 2012-07-03 Every day in the United States, over two million men, women, and children step onto an aircraft and place their lives in the hands of strangers. As anyone who has ever flown knows, modern flight offers unparalleled advantages in travel and freedom, but it also comes with grave responsibility and risk. For the first time in its history, the Federal Aviation Administration has put together a set of easy-to-understand guidelines and principles that will help pilots of any skill level minimize risk and maximize safety while in the air. The Risk Management Handbook offers full-color diagrams and illustrations to help students and pilots visualize the science of flight, while providing straightforward information on decision-making and the risk-management process. |
| automation in risk management: Site Reliability Engineering Niall Richard Murphy, Betsy Beyer, Chris Jones, Jennifer Petoff, 2016-03-23 The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use |
| automation in risk management: Unveiling the NIST Risk Management Framework (RMF) Thomas Marsland, 2024-04-30 Gain an in-depth understanding of the NIST Risk Management Framework life cycle and leverage real-world examples to identify and manage risks Key Features Implement NIST RMF with step-by-step instructions for effective security operations Draw insights from case studies illustrating the application of RMF principles in diverse organizational environments Discover expert tips for fostering a strong security culture and collaboration between security teams and the business Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis comprehensive guide provides clear explanations, best practices, and real-world examples to help readers navigate the NIST Risk Management Framework (RMF) and develop practical skills for implementing it effectively. By the end, readers will be equipped to manage and mitigate cybersecurity risks within their organization. What you will learn Understand how to tailor the NIST Risk Management Framework to your organization's needs Come to grips with security controls and assessment procedures to maintain a robust security posture Explore cloud security with real-world examples to enhance detection and response capabilities Master compliance requirements and best practices with relevant regulations and industry standards Explore risk management strategies to prioritize security investments and resource allocation Develop robust incident response plans and analyze security incidents efficiently Who this book is for This book is for cybersecurity professionals, IT managers and executives, risk managers, and policymakers. Government officials in federal agencies, where adherence to NIST RMF is crucial, will find this resource especially useful for implementing and managing cybersecurity risks. A basic understanding of cybersecurity principles, especially risk management, and awareness of IT and network infrastructure is assumed. |
| automation in risk management: Fundamentals of Risk Management for Process Industry Engineers Maureen Hassall, Paul Lant, 2023-04-19 Fundamentals of Risk Management for Process Industry Engineers outlines foundational principles of human-centered, sociotechnical risk management, and how they can be applied to deliver real improvements in risk identification, understanding, analysis, control, communication, and governance. To maximize sustainable competitiveness requires the identification and optimization of the range of risks that can impact a business. Hence, understanding the foundational principles of sociotechnical risk management is required to design and execute effective risk identification, optimization, and management strategies. - Covers the foundations of risk management - Explains how risk management and professional engineering practice are interrelated - Describes the role and importance of humans in risk management activities - Discusses the fundamentals surrounding how to identify, assess, treat, monitor, and review risks in high hazard industries - Presents the range of operational risks faced by process companies, including safety and health, environmental and social risk, project risk, and supply chain risk |
| automation in risk management: FISMA and the Risk Management Framework Daniel R. Philpott, Stephen D. Gantz, 2012-12-31 FISMA and the Risk Management Framework: The New Practice of Federal Cyber Security deals with the Federal Information Security Management Act (FISMA), a law that provides the framework for securing information systems and managing risk associated with information resources in federal government agencies. Comprised of 17 chapters, the book explains the FISMA legislation and its provisions, strengths and limitations, as well as the expectations and obligations of federal agencies subject to FISMA. It also discusses the processes and activities necessary to implement effective information security management following the passage of FISMA, and it describes the National Institute of Standards and Technology's Risk Management Framework. The book looks at how information assurance, risk management, and information systems security is practiced in federal government agencies; the three primary documents that make up the security authorization package: system security plan, security assessment report, and plan of action and milestones; and federal information security-management requirements and initiatives not explicitly covered by FISMA. This book will be helpful to security officers, risk managers, system owners, IT managers, contractors, consultants, service providers, and others involved in securing, managing, or overseeing federal information systems, as well as the mission functions and business processes supported by those systems. - Learn how to build a robust, near real-time risk management system and comply with FISMA - Discover the changes to FISMA compliance and beyond - Gain your systems the authorization they need |
| automation in risk management: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| automation in risk management: Introduction to Online Payments Risk Management Ohad Samet, 2013-06-07 If you've been tasked with building a team to handle risk management for online payments (RMP), this practical introduction provides a framework for choosing the technologies and personnel you need. Author and financial services executive Ohad Samet explains the components of payments risk management, and presents a coherent strategy and operational approach. You'll learn the answers to questions you're likely to encounter in the first 18 months of operation, with information that Samet has shaped and tested over several years in the industry. This book is ideal whether you intend to be a one-person task force or work with dozens of agents and analysts. Use both a portfolio and behavioral approach to analyzing and optimizing losses Learn about your customers to determine if they can and will meet obligations Build an RMP team for payment risk operations, analytics, and decision automation Use linking mechanisms and velocity models to detect unusual activity among your customers Design system and data architecture to facilitate your activity analysis Implement the decision and loss-reduction mechanisms you need to act on your findings |
| automation in risk management: Enterprise Risk Management Best Practices Anne M. Marchetti, 2011-08-26 High-level guidance for implementing enterprise risk management in any organization A Practical Guide to Risk Management shows organizations how to implement an effective ERM solution, starting with senior management and risk and compliance professionals working together to categorize and assess risks throughout the enterprise. Detailed guidance is provided on the key risk categories, including financial, operational, reputational, and strategic areas, along with practical tips on how to handle risks that overlap across categories. Provides high-level guidance on how to implement enterprise risk management across any organization Includes discussion of the latest trends and best practices Features the role of IT in ERM and the tools that are available in both assessment and on-going compliance Discusses the key challenges that need to be overcome for a successful ERM initiative Walking readers through the creation of ERM architecture and setting up on-going monitoring and assessement processes, this is an essential book for every CFO, controller and IT manager. |
| automation in risk management: The Risk IT Practitioner Guide Isaca, 2009 |
| automation in risk management: Risk Management Applications in Pharmaceutical and Biopharmaceutical Manufacturing Hamid Mollah, Harold Baseman, Mike Long, 2013-03-18 Sets forth tested and proven risk management practices in drug manufacturing Risk management is essential for safe and efficient pharmaceutical and biopharmaceutical manufacturing, control, and distribution. With this book as their guide, readers involved in all facets of drug manufacturing have a single, expertly written, and organized resource to guide them through all facets of risk management and analysis. It sets forth a solid foundation in risk management concepts and then explains how these concepts are applied to drug manufacturing. Risk Management Applications in Pharmaceutical and Biopharmaceutical Manufacturing features contributions from leading international experts in risk management and drug manufacturing. These contributions reflect the latest research, practices, and industry standards as well as the authors' firsthand experience. Readers can turn to the book for: Basic foundation of risk management principles, practices, and applications Tested and proven tools and methods for managing risk in pharmaceutical and biopharmaceutical product manufacturing processes Recent FDA guidelines, EU regulations, and international standards governing the application of risk management to drug manufacturing Case studies and detailed examples demonstrating the use and results of applying risk management principles to drug product manufacturing Bibliography and extensive references leading to the literature and helpful resources in the field With its unique focus on the application of risk management to biopharmaceutical and pharmaceutical manufacturing, this book is an essential resource for pharmaceutical and process engineers as well as safety and compliance professionals involved in drug manufacturing. |
| automation in risk management: Project Risk Management Yuri Raydugin, 2013-09-10 An easy to implement, practical, and proven risk management methodology for project managers and decision makers Drawing from the author's work with several major and mega capital projects for Royal Dutch Shell, TransCanada Pipelines, TransAlta, Access Pipeline, MEG Energy, and SNC-Lavalin, Project Risk Management: Essential Methods for Project Teams and Decision Makers reveals how to implement a consistent application of risk methods, including probabilistic methods. It is based on proven training materials, models, and tools developed by the author to make risk management plans accessible and easily implemented. Written by an experienced risk management professional Reveals essential risk management methods for project teams and decision makers Packed with training materials, models, and tools for project management professionals Risk Management has been identified as one of the nine content areas for Project Management Professional (PMP®) certification. Yet, it remains an area that can get bogged down in the real world of project management. Practical and clearly written, Project Risk Management: Essential Methods for Project Teams and Decision Makers equips project managers and decision makers with a practical understanding of the basics of risk management as they apply to project management. (PMP and Project Management Professional are registered marks of the Project Management Institute, Inc.) |
| automation in risk management: Auditing and GRC Automation in SAP Maxim Chuprunov, 2013-04-09 Over the last few years, financial statement scandals, cases of fraud and corruption, data protection violations, and other legal violations have led to numerous liability cases, damages claims, and losses of reputation. As a reaction to these developments, several regulations have been issued: Corporate Governance, the Sarbanes-Oxley Act, IFRS, Basel II and III, Solvency II and BilMoG, to name just a few. In this book, compliance is understood as the process, mapped not only in an internal control system, that is intended to guarantee conformity with legal requirements but also with internal policies and enterprise objectives (in particular, efficiency and profitability). The current literature primarily confines itself to mapping controls in SAP ERP and auditing SAP systems. Maxim Chuprunov not only addresses this subject but extends the aim of internal controls from legal compliance to include efficiency and profitability and then well beyond, because a basic understanding of the processes involved in IT-supported compliance management processes are not delivered along with the software. Starting with the requirements for compliance (Part I), he not only answers compliance-relevant questions in the form of an audit guide for an SAP ERP system and in the form of risks and control descriptions (Part II), but also shows how to automate the compliance management process based on SAP GRC (Part III). He thus addresses the current need for solutions for implementing an integrated GRC system in an organization, especially focusing on the continuous control monitoring topics. Maxim Chuprunov mainly targets compliance experts, auditors, SAP project managers and consultants responsible for GRC products as readers for his book. They will find indispensable information for their daily work from the first to the last page. In addition, MBA, management information system students as well as senior managers like CIOs and CFOs will find a wealth of valuable information on compliance in the SAP ERP environment, on GRC in general and its implementation in particular. |
| automation in risk management: Risk Management William Huke, In today's dynamic business environment, risk management is not just a prudent practice but a crucial necessity for the survival and success of any organization. Risk Management: Safeguarding Your Business delves into the intricacies of identifying, assessing, and mitigating risks that can impact businesses of all sizes and sectors. From financial uncertainties to operational hazards, this comprehensive guide offers practical strategies and actionable insights to empower decision-makers in safeguarding their businesses against potential threats. With a blend of theoretical frameworks and real-world case studies, this book equips readers with the knowledge and tools needed to proactively manage risks, enhance resilience, and capitalize on opportunities in an ever-changing marketplace. Whether you're a seasoned risk management professional or a business owner seeking to fortify your enterprise, this book provides invaluable guidance to navigate the complexities of risk and steer your organization towards sustainable growth and success. |
| automation in risk management: Guidelines for Safe Automation of Chemical Processes CCPS (Center for Chemical Process Safety), 2017-01-06 This book provides designers and operators of chemical process facilities with a general philosophy and approach to safe automation, including independent layers of safety. An expanded edition, this book includes a revision of original concepts as well as chapters that address new topics such as use of wireless automation and Safety Instrumented Systems. This book also provides an extensive bibliography to related publications and topic-specific information. |
| automation in risk management: Transforming the Federal Housing Administration for the 21st Century United States. Congress. House. Committee on Financial Services. Subcommittee on Housing and Community Opportunity, 2006 |
| automation in risk management: Springer Handbook of Automation Shimon Y. Nof, 2023-06-16 This handbook incorporates new developments in automation. It also presents a widespread and well-structured conglomeration of new emerging application areas, such as medical systems and health, transportation, security and maintenance, service, construction and retail as well as production or logistics. The handbook is not only an ideal resource for automation experts but also for people new to this expanding field. |
| automation in risk management: Winning With Risk Management Russell Walker, 2013-04-04 This book develops the notion that companies can succeed on the basis of risk management, much as companies compete on efficiency, costs, labor, location, and other dimensions. The reality of risk and how it impacts companies is that it is much more definite, often catastrophic and looks more like a shock. This is striking, as a difference between firms on risk different than a marginal difference in operating efficiencies, for example. Competing on Risk Management requires a discipline, a commitment to using information and recognizing shocks and then acting upon those to redistribute assets. This book will examine how leading firms that compete on risk have done this and showcase best practices and impacts to the capital structure of firms and their organizational formation. |
| automation in risk management: Mastering CRISC Cybellium Ltd, 2023-09-06 Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books. |
| automation in risk management: Hyperautomation in Business and Society Darwish, Dina, 2024-07-17 The demand for efficiency and intelligent decision-making has become paramount, prompting a crucial examination of the limitations of traditional automation. Organizations find themselves at a crossroads, searching for a transformative solution that transcends conventional approaches. Enter the era of Hyperautomation an innovative paradigm that goes beyond simple automation by integrating artificial intelligence, robotic process automation, and advanced techniques such as cognitive computing and data mining. Hyperautomation in Business and Society is a comprehensive exploration of how Hyperautomation addresses the complexities of modern challenges, offering a compelling solution to propel businesses and society into a new era of efficiency and intelligent decision-making. This book sets out to achieve a dual purpose: to enlighten and to guide. Starting with a breakdown of intelligent automation, the book progresses to dissect the latest IA technologies, platforms, and the intricate ways in which it optimizes workflows. Spanning diverse applications across sectors such as logistics, marketing, finance, and customer care, it paints a vivid picture of IA's transformative influence. Notably, it addresses the challenges faced by IA implementation, offering a nuanced exploration of real-world applications and their impact on businesses. Geared towards undergraduate and postgraduate students, researchers, and practitioners, this book is a compass for those navigating the ever-changing landscape of intelligent automation. |
| automation in risk management: Cyber-Risk Management Atle Refsdal, Bjørnar Solhaug, Ketil Stølen, 2015-10-01 This book provides a brief and general introduction to cybersecurity and cyber-risk assessment. Not limited to a specific approach or technique, its focus is highly pragmatic and is based on established international standards (including ISO 31000) as well as industrial best practices. It explains how cyber-risk assessment should be conducted, which techniques should be used when, what the typical challenges and problems are, and how they should be addressed. The content is divided into three parts. First, part I provides a conceptual introduction to the topic of risk management in general and to cybersecurity and cyber-risk management in particular. Next, part II presents the main stages of cyber-risk assessment from context establishment to risk treatment and acceptance, each illustrated by a running example. Finally, part III details four important challenges and how to reasonably deal with them in practice: risk measurement, risk scales, uncertainty, and low-frequency risks with high consequence. The target audience is mainly practitioners and students who are interested in the fundamentals and basic principles and techniques of security risk assessment, as well as lecturers seeking teaching material. The book provides an overview of the cyber-risk assessment process, the tasks involved, and how to complete them in practice. |
| automation in risk management: RPA Solution Architect's Handbook Sachin Sahgal, 2023-06-14 Drive digital transformation by increasing efficiency and ROI for your organization as a robotic process automation (RPA) solution architect Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn architectural design and analysis of enterprise-wide RPA systems with real-world use cases Explore tips and best practices to deliver scalable business outcomes through RPA implementation Overcome challenges in intelligent automation, data, and security while building RPA solutions Book Description RPA solution architects play an important role in the automation journey and initiatives within the organization. However, the implementation process is quite complex and daunting at times. RPA Solution Architect's Handbook is a playbook for solution architects looking to build well-designed and scalable RPA solutions. You'll begin by understanding the different roles, responsibilities, and interactions between cross-functional teams. Then, you'll learn about the pillars of a good design: stability, maintainability, scalability, and resilience, helping you develop a process design document, solution design document, SIT/UAT scripts, and wireframes. You'll also learn how to design reusable components for faster, cheaper, and better RPA implementation, and design and develop best practices for module decoupling, handling garbage collection, and exception handling. At the end of the book, you'll explore the concepts of privacy, security, reporting automated processes, analytics, and taking preventive action to keep the bots healthy. By the end of this book, you'll be well equipped to undertake a complete RPA process from design to implementation efficiently. What you will learn Understand the architectural considerations for stability, maintainability, and resilience for effective RPA solution design Interact with cross-functional teams for seamless RPA implementation Write effective RPA documentation, non-functional requirements, and effective UAT scripts Demo RPA solutions, receive feedback, and triage additional requirements based on complexity, time, and cost Design considerations for intelligent automation and learn about RPA as a service Explore best practices for decoupling, handling garbage collection, and exception handling Who this book is for This book is for RPA developers, RPA Sr. developers, or RPA analysts looking to become RPA solution architects. If you are an RPA solution architect, then this book can help you advance your understanding and become more efficient. Familiarity with RPA documentation like SDD, and PDD along with hands-on experience with either one or more RPA tools will be helpful but is not mandatory. |
| automation in risk management: Artificial Intelligence for Risk Mitigation in the Financial Industry Ambrish Kumar Mishra, Shweta Anand, Narayan C. Debnath, Purvi Pokhariyal, Archana Patel, 2024-05-29 Artificial Intelligence for Risk Mitigation in the Financial Industry This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability. The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to “transform inputs into output.” As AI systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc. Audience This is an introductory book that provides insights into the advantages of risk mitigation by the adoption of AI in the financial industry. The subject is not only restricted to individuals like researchers, auditors, and management professionals, but also includes decision-making authorities like the government. This book is a valuable guide to the utilization of AI for risk mitigation and will serve as an important standalone reference for years to come. |
| automation in risk management: Economics and Law of Artificial Intelligence Georgios I. Zekos, 2021-01-11 This book presents a comprehensive analysis of the alterations and problems caused by new technologies in all fields of the global digital economy. The impact of artificial intelligence (AI) not only on law but also on economics is examined. In the first part, the economics of AI are explored, including topics such as e-globalization and digital economy, corporate governance, risk management, and risk development, followed by a quantitative econometric analysis which utilizes regressions stipulating the scale of the impact. In the second part, the author presents the law of AI, covering topics such as the law of electronic technology, legal issues, AI and intellectual property rights, and legalizing AI. Case studies from different countries are presented, as well as a specific analysis of international law and common law. This book is a must-read for scholars and students of law, economics, and business, as well as policy-makers and practitioners, interested in a better understanding of legal and economic aspects and issues of AI and how to deal with them. |
| automation in risk management: Risk Assessment and Risk-Driven Testing Fredrik Seehusen, Michael Felderer, Jürgen Großmann, Marc-Florian Wendland, 2015-11-12 This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Risk Assessment and Risk-driven Testing, RISK 2015, held in conjunction with the OMG Technical Meeting in Berlin, Germany, in June 2015. The revised 8 full papers were carefully reviewed and selected from 12 submissions. This workshop addresses systematic approaches that combine risk assessment and testing. Also, the workshop was structured into the three sessions namely Risk Assessment, Risk and Development and Security Testing. |
| automation in risk management: Risk Management Framework for Fourth Industrial Revolution Technologies Omoseni Oyindamola Adepoju, Nnamdi Ikechi Nwulu, Love Opeyemi David, 2024-10-24 This book focuses on major challenges posed by the Fourth Industrial Revolution (4IR), particularly the associated risks. By recognizing and addressing these risks, it bridges the gap between technological advancements and effective risk management. It further facilitates a swift adoption of technology and equips readers with the knowledge to be cautious during its implementation. Divided into three parts, it covers an overview of 4IR and explores the risks and risk management techniques and comprehensive risk management framework specifically tailored for the 4IR. Features: • Establishes a risk management framework for Industry 4.0 technologies. • Provides a ‘one stop shop’ of different technologies emerging in the Fourth Industrial Revolution. • Follows a consistent structure for each key Industry 4.0 technology in separate chapters. • Details required risk management skills for the technologies of the Fourth Industrial Revolution. • Covers risk monitoring, control, and mitigation measures. This book is aimed at graduate students, technology enthusiasts, and researchers in computer sciences, technology management, business management, and industrial engineering. |
| automation in risk management: Web Based Enterprise Energy and Building Automation Systems Barney L. Capehart, Lynne C. Capehart, 2020-12-18 The capability and use of IT and web based energy information and control systems has expanded from single facilities to multiple facilities and organizations with buildings located throughout the world. This book answers the question of how to take the mass of available data and extract from it simple and useful information which can determine what actions to take to improve efficiency and productivity of commercial, institutional and industrial facilities. The book also provides insight into the areas of advanced applications for web based EIS and ECS systems, and the integration of IT/web based information and control systems with existing BAS systems. |
| automation in risk management: Handbook of Aviation Human Factors John A. Wise, V. David Hopkin, Daniel J. Garland, 2016-04-19 A complete examination of issues and concepts relating to human factors in simulation, this book covers theory and application in space, ships, submarines, naval aviation, and commercial aviation. The authors examine issues of simulation and their effect on the validity and functionality of simulators as a training device. The chapters contain in d |
| automation in risk management: Crafting and Shaping Knowledge Worker Services in the Information Economy Keith Sherringham, Bhuvan Unhelkar, 2020-02-12 This book offers a hands-on approach to prepare businesses for managing the impact of technology transformation by the pragmatic, consistent, and persistent application of proven business principles and practices. Technology is rapidly transforming our businesses and our society. Knowledge worker roles are being impacted, and as operations are being automated, business models are changing as the use of cloud-based services lowers costs and provides flexibility. This book provides a guide towards managing the environment of uncertainly caused by the rapid changes in technology by combining strategy and leadership to influence the environment, instil the right behaviours, and strengthen the skills that will enable businesses to be adaptive, responsive, and resilient. |
| automation in risk management: Treasury Management: a compendium ANAND KAKU, 2024-01-25 Welcome to the world of treasury management—a dynamic and critical aspect of financial stewardship that underpins the success and stability of organizations across industries. This book is crafted as compendium guide to equip finance professionals, executives, and students with the knowledge and strategies necessary for effective treasury management. In today's rapidly evolving business landscape, the role of treasury management has never been more crucial. From optimizing cash flows and mitigating financial risks to navigating the intricacies of capital markets, treasury professionals are tasked with multifaceted responsibilities. This book aims to demystify the complexities of treasury management, offering practical insights, examples, and strategic approaches to empower readers in mastering this intricate field. Key Features: 1. Foundational Concepts: Delve into the fundamental principles of treasury management, providing a solid understanding of cash management, liquidity, and financial risk. 2. Strategic Planning: Explore strategic approaches to treasury management, including techniques for optimizing working capital, managing foreign exchange exposure, and navigating interest rate risks. 3. Technological Advancements: Examine the impact of technology on treasury operations, discussing the latest trends, tools, and digital solutions reshaping the landscape. 4. Case Studies: Gain valuable insights from case studies that illustrate successful treasury management practices and the lessons learned from challenges faced by organizations. 5. Regulatory Landscape: Navigate the complex regulatory environment governing treasury activities, ensuring compliance with international standards and best practices. As you embark on this journey through the pages of this book, I encourage you to engage with the content, reflect on the practical applications, and consider the strategic implications for your own professional or academic pursuits. Treasury management is not just a function; it's a strategic imperative, and this book is designed to be your companion on the path to mastery. This comprehensive book on treasury management aims to provide financial professionals, business leaders, and students with a thorough understanding of the principles, strategies, and technologies involved in effectively managing a company's treasury functions. Thank you for choosing this resource. May it serve as a valuable reference and guide on your journey to becoming a proficient and strategic treasury professional. Anand Vinaykumar Kaku Chartered Accountant Manager Treasury at National Credit Guarantee Trustee Company Ltd. (NCGTC) |
| automation in risk management: Project Risk Management C. B. Chapman, 2003 Based on sound conceptual foundations yet developed to meet practical concerns, Project Risk Management has become recognized as a standard work on its subject. It sets out the key issues and concepts involved in effective risk and uncertainty management in a clear and accessible way, providing a comprehensive discussion of risk management processes set firmly in the context of the project management task as a whole and focused on improving performance. |
| automation in risk management: Robotics and Automation in Industry 4.0 Nidhi Sindhwani, Rohit Anand, A. Shaji George, Digvijay Pandey, 2024-02-09 The book presents the innovative aspects of smart industries and intelligent technologies involving Robotics and Automation. It discusses the challenges in the design of autonomous robots and provides an understanding of how different systems ommunicate with each other, allowing cooperation with other human systems and operators in real time. Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies offers research articles, flow charts, algorithms, and examples based on daily life in automation and robotics related to the building of Industry 4.0. It presents disruptive technology applications related to Smart Industries and talks about how robotics is an important Industry 4.0 technology that offers a wide range of capabilities and has improved automation systems by doing repetitive tasks with more accuracy and at a lower cost. The book discusses how frontline healthcare staff can evaluate, monitor, and treat patients from a safe distance by using robotic and telerobotic systems to minimize the risk of infectious disease transmission. Artificial intelligence (AI) and machine learning (ML) are looked at and the book offers a comprehensive overview of the key challenges surrounding the Internet of Things (IoT) and AI synergy, including current and future applications with significant societal value. An ideal read for scientists, research scholars, entrepreneurs, industrialists, academicians, and various other professionals who are interested in exploring innovations in the applicational areas of AI, IoT, and ML related to Robotics and Automation. |
| automation in risk management: Risk Management in Business: Identifying and Mitigating Risks , Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| automation in risk management: Artificial Intelligence for Audit, Forensic Accounting, and Valuation Al Naqvi, 2020-07-24 Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond. No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services Learn how to build AI into your organization to remain competitive in the era of automation Go beyond siloed AI implementations to modernize and deliver results across the organization Understand and overcome the governance and leadership challenges inherent in AI strategy Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities. |
| automation in risk management: Monthly Catalogue, United States Public Documents , 1992 |
Automating your risks and controls, what are the benefits?
To further illustrate the perks and ease of control automation, this whitepaper highlights the process of automating controls. To do so, this whitepaper answers the following questions: …
Risk modernization - New ways of working in Risk - KPMG
In our first article, we focused on exploring practical approaches to reduce spend without sacrificing the quality of risk management outcomes. In our second article, we focused on …
Managing the risks and returns of intelligent automation
To drive strategic decisions across the organization, institutions can create a holistic view of both the benefits and risks of intelligent automation— including where these tools touch critical …
FROM RISK TO STRATEGY: EMBRACING THE TECHNOLOGY …
Technological change and digitalisation can help risk functions increase their efficiency and effectiveness, but this will require new skills at an individual level, a supportive organisational …
Continuous Monitoring in a Risk Management Framework
•The Risk Profile makes it possible to perform Continuous Monitoring of all implemented security controls by using a risk-based approach to prioritize control assessments •Business and …
The automation and orchestration of risk management …
Using cybersecurity risk management automation with organized data storage, an intelligent risk register, and standardized control frameworks — in addition to orchestrating risk management …
The State of AI in Risk Management - Tata Consultancy Services
This collaborative report explores the level of adoption of AI in risk management in banks, insurance companies and financial organizations, and the challenges and successes …
How to tailor integrated risk management - Grant Thornton …
IRM combines the enterprise, operational, privacy, business continuity, vendor and other risk management components across an enterprise. It integrates risk management and risk …
Risk Management in the Automation of Business Processes …
This paper aims to recognize the key principles of risk management which can be applied to the automation of business processes through the use of RPA technology and to emphasize the …
Next-Gen Quantitative Risk Management: Models, …
May 8, 2025 · Risk management is undergoing a quiet revolution. No longer confined to theoretical models and static assumptions, today’s leading practitioners are blending …
RegTech Solutions: Enhancing compliance and risk …
Automation not only increases productivity but also reduces the risk of human error, ensuring greater accuracy in compliance activities. Enhanced Risk Information: Through AI and ML, …
Risk Management: Attacking Risk at its Roots White Paper
Risk management should be focused on the root causes of where problems originate. In many cases, that’s your industrial automation infrastructure. Managing risk with your automation …
Compliance Modernization Focus on 5: Robotics Process …
Incorporating Automation into your Risk Framework To address potential operational, financial, regulatory, organizational, and technology risks introduced by employing automation, it is …
The Transformation of Insurance: AI-Driven Automation in …
The adoption of AI in insurance raises fundamental questions about the changing nature of risk assessment, the appropriate balance between automation and human judgment, and the …
RISKS OF INTELLIGENT AUTOMATION AND THEIR IMPACT …
Based on the interviews and survey conducted, five most relevant risk categories were identified. They are technology risks, cyber-risks, people related risks, risks related to strategy of …
Digitally Enabling Risk Management Objectives: Accelerating …
The future of risk management best practice relies on the ability to continually, or regularly, monitor and validate the appropriate instrument selection and adjusting the risk mitigation …
SAFETY AND RISK MANAGEMENT - Rockwell Automation
It shows a clear association between the adop-tion of safety and risk management best practices and operational benefits. Key topics include: describes a systematic approach to simultaneous …
How to mitigate risks in automation implementation - Wipro …
Identifying the top risks and applying ways to mitigate them effectively without affecting project schedule or stakeholder relationships leads to successful automation implementation. Basic …
AI and machine learning for risk management - Global …
We explore how artificial intelligence (AI) and machine learning solutions are transforming risk management. A non-technical overview is first given of the main AI and machine learning …
Digital risk: Transforming risk management for the 2020s
end credit processes and operational risk, through deeper automation and analytics. Risk effectiveness can be strengthened with superior transparency, gained through better …
Automating your risks and controls, what are the benefits?
To further illustrate the perks and ease of control automation, this whitepaper highlights the process of automating controls. To do so, this whitepaper answers the following questions: …
Risk modernization - New ways of working in Risk - KPMG
In our first article, we focused on exploring practical approaches to reduce spend without sacrificing the quality of risk management outcomes. In our second article, we focused on …
Managing the risks and returns of intelligent automation
To drive strategic decisions across the organization, institutions can create a holistic view of both the benefits and risks of intelligent automation— including where these tools touch critical …
FROM RISK TO STRATEGY: EMBRACING THE …
Technological change and digitalisation can help risk functions increase their efficiency and effectiveness, but this will require new skills at an individual level, a supportive organisational …
Continuous Monitoring in a Risk Management Framework
•The Risk Profile makes it possible to perform Continuous Monitoring of all implemented security controls by using a risk-based approach to prioritize control assessments •Business and …
The automation and orchestration of risk management …
Using cybersecurity risk management automation with organized data storage, an intelligent risk register, and standardized control frameworks — in addition to orchestrating risk management …
The State of AI in Risk Management - Tata Consultancy …
This collaborative report explores the level of adoption of AI in risk management in banks, insurance companies and financial organizations, and the challenges and successes …
How to tailor integrated risk management - Grant Thornton …
IRM combines the enterprise, operational, privacy, business continuity, vendor and other risk management components across an enterprise. It integrates risk management and risk …
Risk Management in the Automation of Business Processes …
This paper aims to recognize the key principles of risk management which can be applied to the automation of business processes through the use of RPA technology and to emphasize the …
Next-Gen Quantitative Risk Management: Models, …
May 8, 2025 · Risk management is undergoing a quiet revolution. No longer confined to theoretical models and static assumptions, today’s leading practitioners are blending …
RegTech Solutions: Enhancing compliance and risk …
Automation not only increases productivity but also reduces the risk of human error, ensuring greater accuracy in compliance activities. Enhanced Risk Information: Through AI and ML, …
Risk Management: Attacking Risk at its Roots White Paper
Risk management should be focused on the root causes of where problems originate. In many cases, that’s your industrial automation infrastructure. Managing risk with your automation …
Compliance Modernization Focus on 5: Robotics Process …
Incorporating Automation into your Risk Framework To address potential operational, financial, regulatory, organizational, and technology risks introduced by employing automation, it is …
The Transformation of Insurance: AI-Driven Automation in …
The adoption of AI in insurance raises fundamental questions about the changing nature of risk assessment, the appropriate balance between automation and human judgment, and the …
RISKS OF INTELLIGENT AUTOMATION AND THEIR …
Based on the interviews and survey conducted, five most relevant risk categories were identified. They are technology risks, cyber-risks, people related risks, risks related to strategy of …
Digitally Enabling Risk Management Objectives: Accelerating …
The future of risk management best practice relies on the ability to continually, or regularly, monitor and validate the appropriate instrument selection and adjusting the risk mitigation …
SAFETY AND RISK MANAGEMENT - Rockwell Automation
It shows a clear association between the adop-tion of safety and risk management best practices and operational benefits. Key topics include: describes a systematic approach to simultaneous …
How to mitigate risks in automation implementation - Wipro …
Identifying the top risks and applying ways to mitigate them effectively without affecting project schedule or stakeholder relationships leads to successful automation implementation. Basic …
AI and machine learning for risk management - Global …
We explore how artificial intelligence (AI) and machine learning solutions are transforming risk management. A non-technical overview is first given of the main AI and machine learning …
Digital risk: Transforming risk management for the 2020s
end credit processes and operational risk, through deeper automation and analytics. Risk effectiveness can be strengthened with superior transparency, gained through better …
