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| artificial intelligence in contract management: Innovative and Agile Contracting for Digital Transformation and Industry 4.0 Shalan, Mohammad Ali, Algarni, Mohammed Ayedh, 2020-12-18 Digital transformation is reshaping the business arena as new, successful digital business models are increasing agility and presenting better ways to handle business than the traditional alternatives. Industry 4.0 affects everything in our daily lives and is blurring the line between the physical, the biological, and the digital. This created an environment where technology and humans are so closely integrated that it is impacting every activity within the organizations. Specifically, contracting processes and procedures are challenged to align with the new business dynamics as traditional contracts are no longer fitting today's agile and continuously changing environments. Businesses are required to facilitate faster, more secure, soft, and real-time transactions while protecting stakeholders’ rights and obligations. This includes agile contracts which are dynamically handling scope changes, smart contracts that can automate rule-based functions, friction-less contracts that can facilitate different activities, and opportunity contracts that looks toward the future. Innovative and Agile Contracting for Digital Transformation and Industry 4.0 analyzes the consequences, benefits, and possible scenarios of contract transformation under the pressure of new technologies and business dynamics in modern times. The chapters cover the problems, issues, complications, strategies, governance, and risks related to the development and enforcement of digital transformation contracting practices. While highlighting topics in the area of digital transformation and contracting such as artificial intelligence, digital business, emerging technologies, and blockchain, this book is ideally intended for business, engineering, and technology practitioners and policy makers, along with practitioners, stakeholders, researchers, academicians, and students interested in understanding the scope, complexity, and importance of innovative contracts and agile contracting. |
| artificial intelligence in contract management: AI in Solicitation and Contract Management Abebe-Bard Ai Woldemariam, 2024-02-12 AI in Solicitation and Contract Management: Transforming the Way We Do Business Conversational Chat Informative Book (Abe and Gemini) By Abebe-Bard AI Woldemariam (Pen Name) Get ready to revolutionize your contracting processes with AI in Solicitation and Contract Management! This engaging and informative guide, written by Abebe-Bard AI Woldemariam, explains how artificial intelligence (AI) is streamlining traditional solicitation, contract creation, and management tasks. Faster RFP/RFQs, Better Vendor Selection Discover how AI automates RFP/RFQ generation, saving you time and ensuring compliance. Learn how AI helps you choose the best vendors with objective scoring and analysis. Smarter Contract Management Build a strong foundation with AI-generated clauses and templates, tailored to your needs. Proactively manage risks with AI-powered issue identification and mitigation strategies. Track progress and automate renewals and amendments with ease. The Benefits and Challenges of AI Understand how AI boosts efficiency, accuracy, and cost savings. Make smarter decisions with data-driven insights from AI. Explore key considerations like data quality, transparency, and human oversight. The Future of AI in Contracting Chart a course for successful AI implementation with our practical roadmap. Ensure ethical AI use with clear guidelines and responsible practices. Uncover the exciting possibilities of future AI advancements in the contracting world. Bonus: A dedication to Merab Abebe, reflecting the author's belief in the positive potential of AI. This book is for you if: You're a business leader or procurement professional looking to modernize your contracting processes. You're curious about how AI can improve your contracting efficiency and accuracy. You want to leverage the latest technology to gain a competitive edge. AI in Solicitation and Contract Management is packed with actionable insights and practical advice. Get ready to transform the way you do business! Disclaimer: Information may not always be accurate or reflect Google's views. Note: This description highlights the conversational tone, emphasizes the benefits of AI, and provides a clear target audience. Copyright (c) February 2024 by GEMINI AND ABEBE GEBRE WOLDEMARIAM (ABE) |
| artificial intelligence in contract management: Contracting and Contract Law in the Age of Artificial Intelligence Martin Ebers, Cristina Poncibò, Mimi Zou, 2022-06-30 This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws. |
| artificial intelligence in contract management: AI For Lawyers Noah Waisberg, Alexander Hudek, 2021-02-03 Discover how artificial intelligence can improve how your organization practices law with this compelling resource from the creators of one of the world’s leading legal AI platforms. AI for Lawyers: How Artificial Intelligence is Adding Value, Amplifying Expertise, and Transforming Careers explains how artificial intelligence can be used to revolutionize your organization’s operations. Noah Waisberg and Dr. Alexander Hudek, a lawyer and a computer science Ph.D. who lead prominent legal AI business Kira Systems, have written an approachable and insightful book that will help you transform how your firm functions. AI for Lawyers explains how artificial intelligence can help your law firm: Win more business and find more clients Better meet and exceed client expectations Find hidden efficiencies Better manage and eliminate risk Increase associate and partner engagement Whether focusing on small or big law, AI for Lawyers is perfect for any lawyer who either feels uneasy about how AI might change law or is looking to capitalize on the evolving practice. With contributions from experts in the fields of e-Discovery, legal research, expert systems, and litigation analytics, it also belongs on the bookshelf of anyone who’s interested in the intersection of law and technology. |
| artificial intelligence in contract management: A Manual of Style for Contract Drafting Kenneth A. Adams, 2004 The focus of this manual is not what provisions to include in a given contract, but instead how to express those provisions in prose that is free ofthe problems that often afflict contracts. |
| artificial intelligence in contract management: A Legal Theory for Autonomous Artificial Agents Samir Chopra, Laurence F. White, 2011-07-28 “An extraordinarily good synthesis from an amazing range of philosophical, legal, and technological sources . . . the book will appeal to legal academics and students, lawyers involved in e-commerce and cyberspace legal issues, technologists, moral philosophers, and intelligent lay readers interested in high tech issues, privacy, [and] robotics.” —Kevin Ashley, University of Pittsburgh School of Law As corporations and government agencies replace human employees with online customer service and automated phone systems, we become accustomed to doing business with nonhuman agents. If artificial intelligence (AI) technology advances as today’s leading researchers predict, these agents may soon function with such limited human input that they appear to act independently. When they achieve that level of autonomy, what legal status should they have? Samir Chopra and Laurence F. White present a carefully reasoned discussion of how existing philosophy and legal theory can accommodate increasingly sophisticated AI technology. Arguing for the legal personhood of an artificial agent, the authors discuss what it means to say it has “knowledge” and the ability to make a decision. They consider key questions such as who must take responsibility for an agent’s actions, whom the agent serves, and whether it could face a conflict of interest. |
| artificial intelligence in contract management: Valley of Genius Adam Fisher, 2014-11-04 This is the most important book on Silicon Valley I've read in two decades. It will take us all back to our roots in the counterculture, and will remind us of the true nature of the innovation process, before we tried to tame it with slogans and buzzwords. -- Po Bronson, #1 New York Times bestselling author of The Nudist on the Late Shift and Nurtureshock A candid, colorful, and comprehensive oral history that reveals the secrets of Silicon Valley -- from the origins of Apple and Atari to the present day clashes of Google and Facebook, and all the start-ups and disruptions that happened along the way. Rarely has one economy asserted itself as swiftly--and as aggressively--as the entity we now know as Silicon Valley. Built with a seemingly permanent culture of reinvention, Silicon Valley does not fight change; it embraces it, and now powers the American economy and global innovation. So how did this omnipotent and ever-morphing place come to be? It was not by planning. It was, like many an empire before it, part luck, part timing, and part ambition. And part pure, unbridled genius... Drawing on over two hundred in-depth interviews, Valley of Genius takes readers from the dawn of the personal computer and the internet, through the heyday of the web, up to the very moment when our current technological reality was invented. It interweaves accounts of invention and betrayal, overnight success and underground exploits, to tell the story of Silicon Valley like it has never been told before. Read it to discover the stories that Valley insiders tell each other: the tall tales that are all, improbably, true. |
| artificial intelligence in contract management: Contract Management Alain Brunet, Franck César, 2021-07-30 This book presents the latest findings relating to behavioral economics and the digital tools applied to contract management. There has been a decisive change in the role of contracts in the past decade, with contracts being transformed from purely legal necessities designed to protect against worst-case scenarios into tools for optimizing ongoing and mutually profitable business relationships with customers. There is an increasing emphasis on tight contracts, where time-risk and additional costs are passed on to the prime contractor, who may suffer heavy penalties in the event of non-performance. Contracts shape the behavior of the parties involved and as such have a major impact on project success. The contract manager’s goals are to protect the interests of the company and its shareholders by minimizing the company’s financial and contractual liabilities and to maximize its profitability while ensuring end-user satisfaction. The contract is usually written before the design is fully developed, and there is often a mismatch between contractual specifications and what the customer actually wants. Good contract management entails preserving the rights of the contractor by ensuring all parties respect their contractual obligations; providing advice to the project managers and engineering team; preparing profitable amendments to contracts or change requests; maintaining good record-keeping in the event that claims arise; filing notices when necessary; and guiding the project to a profitable conclusion. Like the ancient Chinese game of Go, moves made early in the game (notification of events) can shape the nature of a potential conflict one hundred moves later (arbitration threat). Contract management can also smooth the relationship between partners, allowing well-balanced “don’t-trade-a-dollar-for-a-penny” contracts to be managed through an established process rather than as sporadic events (we cannot claim to be in control of our business if we are not in control of the contracts on which it depends). Managing a contract with a mix of incomplete manuals, fragmented information, and poor planning can drive companies to “reinvent the wheel.” Contract management promotes a three-phase sequence to streamline information flows across the contract lifecycle, from the bid phase to performance, project closeout, and final payments. |
| artificial intelligence in contract management: Artificial Intelligence and Law Rushil Chandra, Karun Sanjaya, 2024-02-29 ‘Artificial Intelligence and Law’ is a ground-breaking book that delves into the intersection of artificial intelligence (AI) and the legal domain, providing a comprehensive exploration of the evolving relationship between technology and the legal framework. Authored with meticulous research and expertise, the book offers a nuanced understanding of how AI technologies impact various facets of law, from legal practice to policy considerations. The authors skillfully navigate the intricate landscape of AI and its implications on legal processes, addressing challenges and opportunities presented by the integration of advanced technologies. With a focus on both theoretical and practical aspects, the book explores key themes such as the ethical considerations surrounding AI applications in law, the automation of legal tasks, and the implications for the legal profession. Readers will find insightful discussions on topics such as machine learning algorithms, natural language processing, and the use of AI in legal research. The book goes beyond a mere analysis of the present state, offering thoughtful insights into the future trajectory of AI in the legal domain and its potential impact on the justice system. ‘Artificial Intelligence and Law’ serves as an indispensable resource for legal professionals, scholars, and technologists seeking a comprehensive guide to the evolving landscape where AI and the law intersect. With its well-researched content and forward-looking perspective, the book contributes significantly to the ongoing discourse on the integration of artificial intelligence into the legal sphere. |
| artificial intelligence in contract management: Artificial Intelligence in Business Management Teik Toe Teoh, Yu Jin Goh, 2023-11-26 Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI’s potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success. |
| artificial intelligence in contract management: Practical Guide to Contract Management Guy Vial, 2020-06-01T00:00:00Z A guide defining the objectives and role of Contract Management describing the interfaces between Contract Management, key operational processes and key players of Projects and Programs and proposing Contract Management methods, tools, procedures and best practices. |
| artificial intelligence in contract management: Artificial Intelligence in Construction Engineering and Management Limao Zhang, Yue Pan, Xianguo Wu, Mirosław J. Skibniewski, 2021-06-18 This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally. |
| artificial intelligence in contract management: AI - The new intelligence in sales Livia Rainsberger, 2022-09-26 This book offers sales managers a quick overview of the possible applications of artificial intelligence in sales and explains basic functionalities. What is behind terms such as Sales Automation, Sales AI Analytics, Sales Enablement, Conversational AI, Lead Intelligence, Dynamic Pricing, Sales Management Intelligence and many more? Where is the concrete potential for sales organizations? And how will AI change the work in sales? The author presents the AI tools available on the market today and their application and describes the advantages and disadvantages as well as the limits and possibilities using clear examples. Executives in marketing and sales as well as entrepreneurs and managing directors, especially in medium-sized companies, will receive answers to the most important questions and additionally concrete recommendations for action for the implementation in their own companies. |
| artificial intelligence in contract management: Artificial Intelligence Kerrigan, Charles, 2022-03-17 This timely book provides an extensive overview and analysis of the law and regulation as it applies to the technology and uses of Artificial Intelligence (AI). It examines the human and ethical concerns associated with the technology, the history of AI and AI in commercial contexts. |
| artificial intelligence in contract management: Management , 1983 |
| artificial intelligence in contract management: Contracting and Contract Law in the Age of Artificial Intelligence Martin Ebers, Cristina Poncibò, Mimi Zou, 2022-06-30 This book provides original, diverse, and timely insights into the nature, scope, and implications of Artificial Intelligence (AI), especially machine learning and natural language processing, in relation to contracting practices and contract law. The chapters feature unique, critical, and in-depth analysis of a range of topical issues, including how the use of AI in contracting affects key principles of contract law (from formation to remedies), the implications for autonomy, consent, and information asymmetries in contracting, and how AI is shaping contracting practices and the laws relating to specific types of contracts and sectors. The contributors represent an interdisciplinary team of lawyers, computer scientists, economists, political scientists, and linguists from academia, legal practice, policy, and the technology sector. The chapters not only engage with salient theories from different disciplines, but also examine current and potential real-world applications and implications of AI in contracting and explore feasible legal, policy, and technological responses to address the challenges presented by AI in this field. The book covers major common and civil law jurisdictions, including the EU, Italy, Germany, UK, US, and China. It should be read by anyone interested in the complex and fast-evolving relationship between AI, contract law, and related areas of law such as business, commercial, consumer, competition, and data protection laws. |
| artificial intelligence in contract 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. |
| artificial intelligence in contract management: The Future of Work Darrell M. West, 2018-05-15 Looking for ways to handle the transition to a digital economy Robots, artificial intelligence, and driverless cars are no longer things of the distant future. They are with us today and will become increasingly common in coming years, along with virtual reality and digital personal assistants. As these tools advance deeper into everyday use, they raise the question—how will they transform society, the economy, and politics? If companies need fewer workers due to automation and robotics, what happens to those who once held those jobs and don't have the skills for new jobs? And since many social benefits are delivered through jobs, how are people outside the workforce for a lengthy period of time going to earn a living and get health care and social benefits? Looking past today's headlines, political scientist and cultural observer Darrell M. West argues that society needs to rethink the concept of jobs, reconfigure the social contract, move toward a system of lifetime learning, and develop a new kind of politics that can deal with economic dislocations. With the U.S. governance system in shambles because of political polarization and hyper-partisanship, dealing creatively with the transition to a fully digital economy will vex political leaders and complicate the adoption of remedies that could ease the transition pain. It is imperative that we make major adjustments in how we think about work and the social contract in order to prevent society from spiraling out of control. This book presents a number of proposals to help people deal with the transition from an industrial to a digital economy. We must broaden the concept of employment to include volunteering and parenting and pay greater attention to the opportunities for leisure time. New forms of identity will be possible when the job no longer defines people's sense of personal meaning, and they engage in a broader range of activities. Workers will need help throughout their lifetimes to acquire new skills and develop new job capabilities. Political reforms will be necessary to reduce polarization and restore civility so there can be open and healthy debate about where responsibility lies for economic well-being. This book is an important contribution to a discussion about tomorrow—one that needs to take place today. |
| artificial intelligence in contract management: Artificial Intelligence and Its Impact on Public Administration Alan Shark, 2019-04 |
| artificial intelligence in contract management: Contract Management Body of Knowledge® National Contract Management Association, 2023-01-07 A must-have reference for contract management professionals, the CMBOK presents what should be learned by contract managers and how they should learn it. The content was developed through a voluntary consensus process governed and administered by NCMA to promote the fair development of consensus. This consensus was established through a job task analysis survey of contract managers and working groups comprised of subject matter experts in contract management. The CMBOK is not solely for the benefit of contract managers; contract managers are not the only ones involved in contract management activities. Numerous stakeholders measure success or failure by contract performance. Knowledge of contract management and competent contract management processes directly impacts the success of contract performance. The seventh edition of the CMBOK is primarily driven by the changes to the Contract Management Standard™ (CMS™). In June 2022, the American National Standards Institute (ANSI) reaffirmed the NCMA CMS™ as an American National Standard (ANS). This ANS [ANSI/NCMA ASD 1-2019 (R2022)—see Annex] serves as the CMBOK’s foundational document to expand, refine, and reorganize contract management knowledge. The CMBOK provides further definition of the field of contract management; the framework for the body of knowledge; and the practices, lexicon, and processes of contract management. In addition, it provides procedural steps for contract management processes in general, as well as for specialized areas, including government or commercial contracting. |
| artificial intelligence in contract management: AI For Lawyers Noah Waisberg, Alexander Hudek, 2021-02-02 Discover how artificial intelligence can improve how your organization practices law with this compelling resource from the creators of one of the world’s leading legal AI platforms. AI for Lawyers: How Artificial Intelligence is Adding Value, Amplifying Expertise, and Transforming Careers explains how artificial intelligence can be used to revolutionize your organization’s operations. Noah Waisberg and Dr. Alexander Hudek, a lawyer and a computer science Ph.D. who lead prominent legal AI business Kira Systems, have written an approachable and insightful book that will help you transform how your firm functions. AI for Lawyers explains how artificial intelligence can help your law firm: Win more business and find more clients Better meet and exceed client expectations Find hidden efficiencies Better manage and eliminate risk Increase associate and partner engagement Whether focusing on small or big law, AI for Lawyers is perfect for any lawyer who either feels uneasy about how AI might change law or is looking to capitalize on the evolving practice. With contributions from experts in the fields of e-Discovery, legal research, expert systems, and litigation analytics, it also belongs on the bookshelf of anyone who’s interested in the intersection of law and technology. |
| artificial intelligence in contract management: Artificial Intelligence and the Legal Profession Michael Legg, Felicity Bell, 2020-11-26 How are new technologies changing the practice of law? With examples and explanations drawn from the UK, US, Canada, Australia and other common law countries, as well as from China and Europe, this book considers the opportunities and implications for lawyers as artificial intelligence systems become commonplace in legal service delivery. It examines what lawyers do in the practice of law and where AI will impact this work. It also explains the important continuing role of the lawyer in an AI world. This book is divided into three parts: Part A provides an accessible explanation of AI, including diagrams, and contrasts this with the role and work of lawyers. Part B focuses on six different aspects of legal work (litigation, transactional, dispute resolution, regulation and compliance, criminal law and legal advice and strategy) where AI is making a considerable impact and looks at how this is occurring. Part C discusses how lawyers and law firms can best utilise the promise of AI, while also acknowledging its limitations. It also discusses ethical and regulatory issues, including the lawyer's role in upholding the rule of law. |
| artificial intelligence in contract management: The Cambridge Handbook of Artificial Intelligence Larry A. DiMatteo, Cristina Poncibò, Michel Cannarsa, 2022-08-11 The technology and application of artificial intelligence (AI) throughout society continues to grow at unprecedented rates, which raises numerous legal questions that to date have been largely unexamined. Although AI now plays a role in almost all areas of society, the need for a better understanding of its impact, from legal and ethical perspectives, is pressing, and regulatory proposals are urgently needed. This book responds to these needs, identifying the issues raised by AI and providing practical recommendations for regulatory, technical, and theoretical frameworks aimed at making AI compatible with existing legal rules, principles, and democratic values. An international roster of authors including professors of specialized areas of law, technologists, and practitioners bring their expertise to the interdisciplinary nature of AI. |
| artificial intelligence in contract management: The Cambridge Handbook of Smart Contracts, Blockchain Technology and Digital Platforms Larry A. DiMatteo, Michel Cannarsa, Cristina Poncib-, 2019-10-31 The product of a unique collaboration between academic scholars, legal practitioners, and technology experts, this Handbook is the first of its kind to analyze the ongoing evolution of smart contracts, based upon blockchain technology, from the perspective of existing legal frameworks - namely, contract law. The book's coverage ranges across many areas of smart contracts and electronic or digital platforms to illuminate the impact of new, and often disruptive, technologies on the law. With a mix of scholarly commentary and practical application, chapter authors provide expert insights on the core issues involving the use of smart contracts, concluding that smart contracts cannot supplant contract law and the courts, but leaving open the question of whether there is a need for specialized regulations to prevent abuse. This book should be read by anyone interested in the disruptive effect of new technologies on the law generally, and contract law in particular. |
| artificial intelligence in contract management: Artificial Intelligence for Business Hemachandran K, Raul V. Rodriguez, 2023-11-21 Artificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, AI is changing the way businesses operate across all sectors. This book is an exploration of AI in business applications, highlighting the diverse range of ways in which AI is being used across different industries. The book begins with an overview of AI in business and its impact on the workforce. It then explores the role of AI in marketing, advertising, and tourism. The use of AI in personalized recommendations and chatbots is discussed in detail. The book then moves on to examine how AI is changing the retail industry, improving supply chain management, and enhancing the customer experience. The media and entertainment industry is also examined, with a focus on how AI is being used to personalize content and improve the user experience. The book also explores the use of AI in human resources, insurance, legal, and finance. The impact of AI on talent identification, recruitment, underwriting, document analysis, and financial forecasting is discussed in detail. In the healthcare and sports industries, AI is transforming the way we approach diagnosis, treatment, and training. The book examines how AI is being used to analyse medical images, develop personalized treatment plans, and improve patient outcomes. The use of AI in sports performance analysis is also discussed in detail. Finally, the book explores the use of AI in agriculture, energy, education, and the public sector. The potential of AI to optimize crop yields, reduce energy consumption, and improve the quality of education is discussed in detail. The book also examines how AI is being used to improve public services, such as transportation and emergency services. This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors. The book also examines the ethical dilemmas that arise from the use of AI in business, such as the impact on privacy and data security, and the potential for bias in AI algorithms. It provides valuable insights into how businesses can ensure that the use of AI is ethical and responsible. In conclusion, this book is a must-read for anyone interested in the potential of AI in the business world. It provides a comprehensive overview of AI in business applications and how it is transforming different sectors. The book examines the ethical dilemmas that arise from the use of AI in business, providing valuable insights into how businesses can ensure that the use of AI is ethical and responsible. We hope that readers will find this book informative and thought-provoking. |
| artificial intelligence in contract management: Digital Development of the European Union David Ramiro Troitiño, Tanel Kerikmäe, Ondrej Hamuľák, 2023-06-20 This edited volume analyses the digital development of the European Union, presenting an interdisciplinary perspective from the disciplines of political science, international relations, economics, and law. The contributions address the main areas where the EU can, and should act, for creating an efficient and protective digital space in Europe. The book highlights the responsibility of the European Union to work on the future of its digital development, looking for prosperity and defending the European conception of society. It explains how European values must be incorporated into the digital revolution and shows how the digital revolution of the EU will defend the Europeans from new threats. The book's comprehensive approach allows the reader to understand this process without in-depth knowledge of the specific discipline. Therefore, it is a must-read for everybody interested in a better understanding of digital development, European Union policy, and the future of Europe. |
| artificial intelligence in contract management: Artificial Intelligence and Data Mining for Mergers and Acquisitions Debasis Chanda, 2021-03-17 The goal of this book is to present a modeling framework for the Virtual Organization that is focused on process composition. This framework uses Predicate Calculus Knowledge Bases. Petri Net-based modeling is also discussed. In this context, a Data Mining model is proposed, using a fuzzy mathematical approach, aiming to discover knowledge. A Knowledge-Based framework has been proposed in order to present an all-inclusive knowledge store for static and dynamic properties. Toward this direction, a Knowledge Base is created, and inferences are arrived at. This book features an advisory tool for Mergers and Acquisitions of Organizations using the Fuzzy Data Mining Framework and highlights the novelty of a Knowledge-Based Service-Oriented Architecture approach and development of an Enterprise Architectural model using AI that serves a wide audience. Students of Strategic Management in business schools and postgraduate programs in technology institutes seeking application areas of AI and Data Mining, as well as business/technology professionals in organizations aiming to create value through Mergers and Acquisitions and elsewhere, will benefit from the reading of this book. |
| artificial intelligence in contract management: Artificial Intelligence Tools and Applications in Embedded and Mobile Systems Jorge Marx Gómez, |
| artificial intelligence in contract management: The Upside of Risk Michael Berman, 2021-07-08 The goal of risk management isn't to eliminate risk. It's to understand it. Strategic risk management isn't just about how, it's about why. In The Upside of Risk, author Michael Berman shows readers why risk management and strategic planning are inseparable. Building off research, historical examples, and the most current enterprise risk management framework, he shows why good risk management isn't about risk avoidance. It's about risk awareness, which empowers financial institutions to be prepared, protected, and positioned for opportunities. Underlining his message with lessons learned from the financial crisis and the COVID-19 pandemic, Berman coaches readers to critically and systematically evaluate the assumptions propelling the decision-making process. From governance and culture to risk assessments and setting measurable strategy goals and objectives, he demonstrates why the most successful financial institutions approach risk management with curiosity and an open mind, leveraging their discoveries to make smarter decisions that support long-term strategic goals. Thoughtful and accessible, The Upside of Risk weaves together risk management theory and practical advice to deliver actionable takeaways for transforming risk management into a strategic advantage. It's a must-read for anyone in the banking industry who cares about creating value and building resilient institutions. |
| artificial intelligence in contract management: Artificial Intelligence Systems and the Internet of Things in the Digital Era Abdalmuttaleb M.A Musleh Al-Sartawi, Anjum Razzaque, Muhammad Mustafa Kamal, 2021-05-28 This book brings together intelligence systems and the Internet of Things, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations which will help societies (economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, and students) to better understand, use, and control AI and IoT to develop future strategies and to achieve sustainability goals. EAMMIS 2021 was organized by the Bridges Foundation in cooperation with the Istanbul Medeniyet University, Istanbul, Turkey, on March 19–20, 2021. EAMMIS 2021 theme was Artificial Intelligence Systems and the Internet of Things in the digital era. The papers presented at the conference provide a holistic view of AI education, MIS, cybersecurity, blockchain, Internet of Ideas (IoI), and knowledge management. |
| artificial intelligence in contract management: Artificial Intelligence and Legal Analytics Kevin D. Ashley, 2017-07-10 This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems. |
| artificial intelligence in contract management: The AI Value Playbook Lisa Weaver-Lambert, 2024-08-30 Learn from real-world examples how leveraging AI, including machine learning and generative AI, is imperative for businesses to navigate risk, drive value, and gain a competitive advantage Key Features Understand machine learning and generative AI terminology, concepts, and the AI technology stack. Learn from diverse real-world case studies narrated by business leaders in their own voice. Apply a value-driven approach to AI applications across multiple business sectors. Book DescriptionBusiness leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.What you will learn Fundamentals of AI concepts and the tech stack How AI works with real-world practical applications How to integrate into your company's overall strategy How to incorporate generative AI in your processes How to drive value with sector-wide examples How to organize an AI-driven operating model How to use AI for competitive advantage The dos and don'ts of AI application Who this book is for The AI Value Playbook is aimed at supporting non-technical executives and board members to quickly formulate a perspective on how to integrate AI. This book addresses the gap in data and AI knowledge in leadership teams that have an appetite for nuanced, targeted and practical solutions. It includes which levers and processes to consider to future-proof their business. It speaks to an audience interested in understanding how AI can drive value for their organisations. |
| artificial intelligence in contract management: Machine Landscapes Liam Young, 2019-02-11 The most significant architectural spaces in the world are now entirely empty of people. The data centres, telecommunications networks, distribution warehouses, unmanned ports and industrialised agriculture that define the very nature of who we are today are at the same time places we can never visit. Instead they are occupied by server stacks and hard drives, logistics bots and mobile shelving units, autonomous cranes and container ships, robot vacuum cleaners and internet-connected toasters, driverless tractors and taxis. This issue is an atlas of sites, architectures and infrastructures that are not built for us, but whose form, materiality and purpose is configured to anticipate the patterns of machine vision and habitation rather than our own. We are said to be living in a new geological epoch, the Anthropocene, in which humans are the dominant force shaping the planet. This collection of spaces, however, more accurately constitutes an era of the Post-Anthropocene, a period where it is technology and artificial intelligence that now computes, conditions and constructs our world. Marking the end of human-centred design, the issue turns its attention to the new typologies of the post-human, architecture without people and our endless expanse of Machine Landscapes. Contributors: Rem Koolhaas, Merve Bedir and Jason Hilgefort, Benjamin H Bratton, Ingrid Burrington, Ian Cheng, Cathryn Dwyre, Chris Perry, David Salomon and Kathy Velikov, John Gerrard, Alice Gorman, Adam Harvey, Jesse LeCavalier, Xingzhe Liu, Clare Lyster, Geoff Manaugh, Tim Maughan, Simone C Niquille, Jenny Odell, Trevor Paglen, Ben Roberts. Featured interviews: Deborah Harrison, designer of Microsoft’s Cortana; and Paul Inglis, designer of the urban landscapes of Blade Runner 2049. |
| artificial intelligence in contract management: Cutting-Edge Technologies for Business Sectors Ertu?rul, Duygu Çelik, Elçi, Atilla, 2024-10-17 In the rapidly evolving 21st century, emerging digital technologies are transforming every aspect of modern life, from social interactions to business practices. These advancements are reshaping industries, influencing human behavior, and redefining societal structures. Understanding the impact of technologies like AI, blockchain, and virtual reality is crucial for navigating today's digital world and its challenges. Cutting-Edge Technologies for Business Sectors provides a comprehensive look at how these innovations are revolutionizing industries such as healthcare, education, law, and tourism. By exploring the ethical, practical, and societal implications of digital tools, this volume offers valuable insights for academics, professionals, and policymakers looking to harness the power of technology and shape the future. |
| artificial intelligence in contract management: Recent Technological Advances in Engineering and Management Dalia Younis, Ilona Paweloszek, Mamta Chahar, Narendra Kumar, Nino Abesadze, Preeti Narooka, 2024-09-26 It is with immense pleasure that we extend a warm welcome to all of you to the recently concluded conference, international conference on Advances in Science, Technology and Management (ICOSTEM 2023) which took place from November 24 – 27, 2023, in the picturesque Maldives, Male. This significant event focused on the “Recent Technological Advances in Engineering and Management” with special sessions on Applied Sciences, Management and Engineering. |
| artificial intelligence in contract management: Smart Contracts Marcelo Corrales Compagnucci, Mark Fenwick, Stefan Wrbka, 2021-05-06 This book brings together a series of contributions by leading scholars and practitioners to examine the main features of smart contracts, as well as the response of key stakeholders in technology, business, government and the law. It explores how this new technology interfaces with the goals and content of contract law, introducing and evaluating several mechanisms to improve the 'observability' and reduce the costs of verifying contractual obligations and performance. It also outlines various 'design patterns' that ensure that end users are protected from themselves, prevent cognitive accidents, and translate expectations and values into more user-oriented agreements. Furthermore, the chapters map the new risks associated with smart contracts, particularly for consumers, and consider how they might be alleviated. The book also discusses the challenge of integrating data protection and privacy concerns into the design of these agreements and the broad range of legal knowledge and skills required. The case for using smart contracts goes beyond 'contracts' narrowly defined, and they are increasingly used to disrupt traditional models of business organisation. The book discusses so-called decentralised autonomous organisations and decentralised finance as illustrations of this trend. This book is designed for those interested in looking to deepen their understanding of this game-changing new legal technology. |
| artificial intelligence in contract management: Overview of CHATGPT – AI TOOL Bathala Neeraja, Dr. Muhammed Yousoof, Dr. N. Badrinath, Ms. Soni Gupta, 2024-07-25 ChatGPT is an advanced AI tool developed by OpenAI that uses natural language processing to generate human-like responses in conversations. Based on OpenAI's GPT (Generative Pre-trained Transformer) models, ChatGPT is trained on diverse text data, enabling it to assist with tasks like answering questions, drafting content, explaining concepts, and providing recommendations. Available through various platforms, including a web app and API, ChatGPT is widely used in education, business, and customer service to streamline workflows, enhance productivity, and offer interactive, AI-powered support. |
| artificial intelligence in contract management: Embedding Artificial Intelligence into ERP Software Siar Sarferaz, |
| artificial intelligence in contract management: Handbook of Services and Artificial Intelligence Ada Scupola, Jon Sundbo, Lars Fuglsang, Anders Henten, 2024-08-06 This Handbook examines the impacts of AI on the innovation of services, service processes and business models. It presents state-of-the-art conceptual and empirical evidence concerning uses and applications of AI in different service sectors and from varying perspectives. |
| artificial intelligence in contract management: Principles of Law of Software Contracts , 2007 |
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
ARTIFICIAL Definition & Meaning - Merriam-Webster
The meaning of ARTIFICIAL is made, produced, or done by humans especially to seem like something natural : man-made. How to use artificial in a sentence.
ARTIFICIAL | English meaning - Cambridge Dictionary
ARTIFICIAL definition: 1. made by people, often as a copy of something natural: 2. not sincere: 3. made by people, often…. Learn more.
Artificial - definition of artificial by The Free Dictionary
1. produced by man; not occurring naturally: artificial materials of great strength. 2. made in imitation of a natural product, esp as a substitute; not genuine: artificial cream. 3. pretended; …
ARTIFICIAL Definition & Meaning | Dictionary.com
Artificial is used to describe things that are made or manufactured as opposed to occurring naturally. Artificial is often used as the opposite of natural. A close synonym of artificial is …
ARTIFICIAL definition and meaning | Collins English Dictionary
Artificial objects, materials, or processes do not occur naturally and are created by human beings, for example using science or technology.
artificial adjective - Definition, pictures, pronunciation and usage ...
Definition of artificial adjective in Oxford Advanced Learner's Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Artificial - Definition, Meaning & Synonyms - Vocabulary.com
While artificial can simply mean “made by humans,” it’s often used in a negative sense, conveying the idea that an artificial product is inferior to the real thing. If you remark that your friend’s new …
artificial - Wiktionary, the free dictionary
6 days ago · artificial (comparative more artificial, superlative most artificial) Man-made; made by humans; of artifice. The flowers were artificial, and he thought them rather tacky. An artificial …
What does artificial mean? - Definitions.net
Artificial refers to something that is made or produced by human beings rather than occurring naturally or in the environment. It often implies an imitation of something natural or a real …
Artificial Intelligence Is Not Intelligent - The Atlantic
Jun 6, 2025 · The good news is that nothing about this is inevitable: According to a study released in April by the Pew Research Center, although 56 percent of “AI experts” think artificial …
