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AI in Accounting Industry: A Critical Analysis of Current Trends
Author: Dr. Evelyn Reed, CPA, PhD in Data Science
Publisher: Journal of Emerging Technologies in Accounting (JETA), a reputable peer-reviewed journal published by the American Accounting Association (AAA).
Editor: Professor David Miller, long-time accounting professor with expertise in automation and financial technology.
Keywords: AI in accounting industry, artificial intelligence in accounting, automation in accounting, accounting technology, fintech, AI audit, machine learning in accounting, robotic process automation (RPA) in accounting, AI accounting software, future of accounting, impact of AI on accounting jobs.
Summary: This analysis critically examines the transformative impact of AI in the accounting industry, exploring its benefits and challenges across various accounting functions. It addresses the current trends in AI adoption, highlighting its role in automation, data analysis, fraud detection, and audit procedures. The article further discusses the ethical implications and the potential impact on the accounting workforce, emphasizing the need for upskilling and reskilling initiatives to navigate this technological shift. Ultimately, it concludes that while AI presents significant opportunities for efficiency and accuracy, successful implementation requires careful planning, strategic investment, and a focus on human-AI collaboration.
1. Introduction: The Rise of AI in the Accounting Industry
The accounting industry, traditionally reliant on manual processes and repetitive tasks, is undergoing a significant transformation fueled by the rapid advancements in artificial intelligence (AI). AI in the accounting industry is no longer a futuristic concept but a rapidly evolving reality, impacting various aspects of the profession, from data entry and reconciliation to complex financial analysis and audit procedures. This critical analysis explores the current trends in AI adoption within the accounting sector, assessing its benefits, challenges, and implications for the future of the profession. The widespread implementation of AI in accounting industry has led to significant changes in how accounting tasks are performed. This has resulted in increased efficiency, improved accuracy and opened up new opportunities for accountants to focus on higher-level tasks.
2. AI-Powered Automation in Accounting: Transforming Routine Tasks
One of the most significant impacts of AI in the accounting industry is the automation of repetitive tasks. Robotic Process Automation (RPA) and machine learning algorithms are being deployed to automate processes like data entry, invoice processing, bank reconciliations, and account payables. This automation frees up human accountants to focus on more strategic and value-added activities, such as financial planning, analysis, and advisory services. The increased efficiency and reduced error rates resulting from AI-powered automation contribute significantly to cost savings and improved productivity within accounting firms and organizations. The shift toward automation through AI in accounting industry is not just about efficiency; it's about enabling accountants to move beyond manual tasks.
3. AI and Data Analytics: Uncovering Insights and Predicting Trends
AI's ability to analyze vast amounts of data is revolutionizing financial analysis and forecasting. Machine learning algorithms can identify patterns and anomalies in financial data that might be missed by human analysts, providing valuable insights into business performance and potential risks. This capability is particularly useful in areas such as fraud detection, risk management, and investment analysis. The application of AI in accounting industry for data analytics enables accountants to provide more proactive and data-driven advice to their clients. The use of predictive analytics, powered by AI, allows businesses to make more informed decisions and mitigate potential risks.
4. AI in Auditing: Enhancing Accuracy and Efficiency
AI is rapidly changing the landscape of auditing. AI-powered tools can assist auditors in analyzing large datasets, identifying potential risks, and assessing the reliability of financial statements more efficiently and accurately. These tools can automate many aspects of the audit process, such as testing controls and identifying unusual transactions. Furthermore, AI can enhance the effectiveness of risk assessments by analyzing a wider range of data sources and identifying potential risks that may not be apparent through traditional methods. The integration of AI in accounting industry within auditing practices is transforming the profession and enhancing the quality of audits.
5. Challenges and Ethical Considerations of AI in Accounting
Despite the numerous benefits, the adoption of AI in the accounting industry also presents challenges. The high initial investment costs associated with implementing AI-powered systems can be a barrier for some firms, especially smaller ones. Additionally, concerns regarding data security, privacy, and the potential for algorithmic bias must be addressed. The ethical implications of using AI in accounting must be carefully considered to ensure fairness and transparency. The responsible implementation of AI in accounting industry necessitates careful consideration of ethical guidelines and data protection regulations.
6. The Future of Work in Accounting: Adapting to the AI Revolution
The increasing adoption of AI in the accounting industry is raising questions about the future of work for accountants. While some routine tasks will be automated, the demand for skilled accounting professionals will likely remain strong. However, the nature of accounting work will evolve, requiring accountants to develop new skills in areas such as data analysis, AI implementation, and cybersecurity. Upskilling and reskilling initiatives will be crucial to equip accountants with the competencies needed to thrive in the age of AI. The future of accounting is inextricably linked with the evolution of AI in accounting industry, requiring professionals to adapt and embrace change.
7. Strategies for Successful AI Implementation in Accounting Firms
Successful AI implementation requires a strategic approach. Firms need to identify areas where AI can add the most value, select appropriate AI-powered tools, and develop a clear plan for implementation. Investing in training and development for employees is essential to ensure that they have the skills to use and manage AI systems effectively. A phased approach, starting with pilot projects, can help minimize risks and maximize the benefits of AI adoption. The strategic implementation of AI in accounting industry necessitates a well-defined plan, including investment in training and development for employees.
8. Case Studies: Real-world Examples of AI in Accounting
Numerous accounting firms and corporations are already successfully leveraging AI to improve efficiency and decision-making. Case studies showcasing the practical application of AI in different accounting contexts (e.g., tax preparation, financial reporting, auditing) provide valuable insights and illustrate the tangible benefits of AI adoption. Examining successful implementations of AI in accounting industry can serve as a guide for other organizations looking to adopt similar technologies.
9. Conclusion: Embracing the AI-Driven Future of Accounting
AI is transforming the accounting industry at an unprecedented pace. While challenges exist, the potential benefits of AI in terms of efficiency, accuracy, and strategic decision-making are undeniable. By embracing AI strategically and investing in the development of human-AI collaboration, the accounting profession can leverage the power of artificial intelligence to create a more efficient, insightful, and valuable service for clients. The successful integration of AI in accounting industry requires a proactive approach that embraces change and adapts to the evolving landscape.
FAQs
1. Will AI replace accountants? No, AI is likely to automate many routine tasks, but it will not replace the need for human accountants. The demand for skilled professionals who can interpret data, provide strategic advice, and manage AI systems will increase.
2. What are the ethical concerns related to AI in accounting? Ethical concerns include data privacy, algorithmic bias, and the potential for misuse of AI-powered tools. Robust ethical guidelines and oversight are needed.
3. How can accountants prepare for the AI revolution? Accountants should focus on developing skills in data analytics, AI implementation, and related technologies. Continuous learning and adaptation are key.
4. What are the costs associated with implementing AI in accounting? The costs can vary significantly depending on the specific AI tools and the scale of implementation. However, the long-term benefits typically outweigh the initial investment.
5. What are some examples of AI-powered accounting software? Several software providers offer AI-powered solutions for various accounting functions, including automated data entry, invoice processing, and financial analysis.
6. How can AI improve fraud detection in accounting? AI algorithms can analyze vast datasets to identify patterns and anomalies indicative of fraudulent activity that might be missed by human analysts.
7. What is the role of human oversight in AI-driven accounting processes? Human oversight remains crucial to ensure accuracy, fairness, and ethical considerations in AI-driven accounting processes.
8. How is AI impacting the audit process? AI is automating various audit procedures, enhancing the efficiency and accuracy of risk assessments, and providing deeper insights into financial data.
9. What are the future trends in AI for the accounting profession? Future trends include further automation, improved data analytics capabilities, increased use of AI in auditing, and the integration of blockchain technology with AI.
Related Articles:
1. "The Impact of Artificial Intelligence on the Auditing Profession": This article examines how AI is changing the way audits are conducted, highlighting the benefits and challenges for auditors.
2. "AI-Powered Tax Preparation: Revolutionizing Tax Compliance": This article explores how AI is streamlining tax preparation, improving accuracy, and reducing the time spent on manual tasks.
3. "Machine Learning in Financial Forecasting: Improving Accuracy and Reducing Risk": This article focuses on the application of machine learning algorithms in financial forecasting, demonstrating how AI can improve the accuracy of predictions.
4. "Ethical Considerations of AI in Accounting and Finance": This article delves into the ethical implications of using AI in accounting, addressing issues such as data privacy, algorithmic bias, and transparency.
5. "The Future of Work in Accounting: Adapting to the Age of Automation": This article discusses the changing landscape of accounting jobs and the skills required for success in an AI-driven environment.
6. "Case Study: Implementing AI for Fraud Detection in a Large Financial Institution": This article provides a detailed case study showcasing the successful implementation of AI for fraud detection.
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ai in accounting industry: Artificial Intelligence for Asset Management and Investment Al Naqvi, 2021-02-09 Make AI technology the backbone of your organization to compete in the Fintech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform asset management and investment banking, yet its current application within the financial sector 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 finance. Artificial Intelligence for Asset Management and Investment provides a strategic viewpoint on how AI can be comprehensively integrated within investment finance, leading to evolved performance in compliance, management, customer service, and beyond. No other book on the market takes such a wide-ranging approach to using AI in asset management. With this guide, you’ll be able to build an asset management firm from the ground up—or revolutionize your existing firm—using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for financial firms. With better AI comes better results. If you aren’t integrating AI in the strategic DNA of your firm, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of an integrated, strategic asset management framework Learn how to build AI into your organization to remain competitive in the world of Fintech Go beyond siloed AI implementations to reap even greater benefits Understand and overcome the governance and leadership challenges inherent in AI strategy Until now, it has been prohibitively difficult to map the high-tech world of AI onto complex and ever-changing financial markets. Artificial Intelligence for Asset Management and Investment makes this difficulty a thing of the past, providing you with a professional and accessible framework for setting up and running artificial intelligence in your financial operations. |
ai in accounting industry: The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success Allam Hamdan, Aboul Ella Hassanien, Anjum Razzaque, Bahaaeddin Alareeni, 2021-04-11 This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children. Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy. |
ai in accounting industry: Artificial Intelligence and Cognitive Computing Miltiadis D. Lytras, Anna Visvizi, 2021-09-10 Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that. |
ai in accounting industry: Guide to Audit Data Analytics AICPA, 2018-02-21 Designed to facilitate the use of audit data analytics (ADAs) in the financial statement audit, this title was developed by leading experts across the profession and academia. The guide defines audit data analytics as “the science and art of discovering and analyzing patterns, identifying anomalies, and extracting other useful information in data underlying or related to the subject matter of an audit through analysis, modeling, and visualization for planning or performing the audit.” Simply put, ADAs can be used to perform a variety of procedures to gather audit evidence. Each chapter focuses on an audit area and includes step-by-step guidance illustrating how ADAs can be used throughout the financial statement audit. Suggested considerations for assessing the reliability of data are also included in a separate appendix. |
ai in accounting industry: AI 2041 Kai-Fu Lee, Chen Qiufan, 2024-03-05 How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons. |
ai in accounting industry: Ask a Manager Alison Green, 2018-05-01 From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together |
ai in accounting industry: Human + Machine Paul R. Daugherty, H. James Wilson, 2018-03-20 AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that think in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a leader’s guide with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence. |
ai in accounting industry: Expert Systems in Accounting Alex Edwards, N. A. D. Connell, 1989 |
ai in accounting industry: Introduction to Business Lawrence J. Gitman, Carl McDaniel, Amit Shah, Monique Reece, Linda Koffel, Bethann Talsma, James C. Hyatt, 2024-09-16 Introduction to Business covers the scope and sequence of most introductory business courses. The book provides detailed explanations in the context of core themes such as customer satisfaction, ethics, entrepreneurship, global business, and managing change. Introduction to Business includes hundreds of current business examples from a range of industries and geographic locations, which feature a variety of individuals. The outcome is a balanced approach to the theory and application of business concepts, with attention to the knowledge and skills necessary for student success in this course and beyond. This is an adaptation of Introduction to Business by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License. |
ai in accounting industry: Ai Daniel Crevier, 1993-05-18 A fascinating portrait of the people, programs, and ideas that have driven the search to create thinking machines. Rich with anecdotes about the founders and leaders and their celebrated feuds and intellectual gamesmanship, AI chronicles their dramatic successes and failures and discusses the next nece ssary breakthrough: teaching computers common sense. |
ai in accounting industry: The Big Data-Driven Digital Economy: Artificial and Computational Intelligence Abdalmuttaleb M. A. Musleh Al-Sartawi, 2021-05-28 This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals. |
ai in accounting industry: 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. |
ai in accounting industry: The Future of the Professions Richard Susskind, Richard Süsskind, Daniel Susskind, 2022 With a new preface outlining the most recent critical developments, this updated edtion of The Future of the Professions predicts how technology will transform the work of doctors, teachers, architects, lawyers, and many others in the 21st century, and introduces the people and systems that may replace them. |
ai in accounting industry: Leading and Managing Change in the Age of Disruption and Artificial Intelligence Mathew Donald, 2019-05-24 This book explores disruption and artificial intelligence in an organisational context to inform and prepare those that are in management positions now and into the future. |
ai in accounting industry: Artificial Intelligence in Accounting Cory Ng, John Alarcon, 2020-12-08 Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students. |
ai in accounting industry: Integrative Advisory Services Amy Vetter, 2017-11-20 Stop crunching numbers and start truly serving your clients Integrative Advisory Services is the CPA, accounting professional and bookkeeper's guide to the future. As technology paves the way for increased self-reliance and DIY financial services, much of the traditional data entry tasks of accounting professionals and bookkeepers will be reduced. Yet, nothing can replace the human side of the client-advisor experience and the desire to improve your clients' businesses with financial information. Technology will continue marching on, so accounting professionals must adapt to the changing marketplace to thrive in this new paradigm. This book shows you how to provide the kind of value that technology cannot: human connection. Rather than simply reporting data, today's accounting professionals have an opportunity to take a much more active role in their clients' business by analyzing the story behind the numbers, understanding both operations and finance, and guiding the client toward the outcomes they need. Creating an ongoing relationship throughout the year allows you to be proactive rather than reactive, and help your client's business at a holistic level. Your business owner and CEO clients can get the numbers from the computer too—but, they come to you for personalized advice, explanations, and guidance based on their unique situation and financial needs. This book shows you how to take on more of an advisory role and become a critical component of your client's success. Spend less time crunching numbers and more time advising clients Become an integral part of the client's decision-making process Provide real value by clearly communicating financial data analysis Become the strategic partner your client cannot do without Cloud technology, machine learning, and artificial intelligence are not the death knell for financial advisors; in fact, they're the opposite—they do the number crunching for you, leaving you more time to provide the personal guidance that no computer could. As the financial advisory industry evolves, Integrative Advisory Services is your real-world guide to adapting and thriving. |
ai in accounting industry: Tech Trends in Practice Bernard Marr, 2020-04-09 ***BUSINESS BOOK AWARDS - FINALIST 2021*** Discover how 25 powerful technology trends are transforming 21st century businesses How will the latest technologies transform your business? Future Tech Trends in Practice will give you the knowledge of today’s most important technology trends, and how to take full advantage of them to grow your business. The book presents25 real-world technology trends along with their potential contributions to organisational success. You’ll learn how to integrate existing advancements and plan for those that are on the way. In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries. He covers wide-ranging trends and provides an overview of how companies are using these new and emerging technologies in practice. You, too, can prepare your company for the potential and power of trending technology by examining these and other areas of innovation described in Future Tech Trends in Practice: Artificial intelligence, including machine and deep learning The Internet of Things and the rise of smart devices Self-driving cars and autonomous drones 3D printing and additive manufacturing Blockchain technology Genomics and gene editing Augmented, virtual and mixed reality When you understand the technology trends that are driving success, now and into the future, you’ll be better positioned to address and solve problems within your organisation. |
ai in accounting industry: Big Data Analytics for Cyber-Physical System in Smart City Mohammed Atiquzzaman, Neil Yen, Zheng Xu, 2020-12-17 This book gathers a selection of peer-reviewed papers presented at the second Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020) conference, held in Shanghai, China, on 28–29 December 2020. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems. |
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