AI in Business: Opportunities and Limitations
Author | : Reem Khamis |
Publisher | : Springer Nature |
Total Pages | : 620 |
Release | : |
Genre | : |
ISBN | : 3031495446 |
Download AI in Business: Opportunities and Limitations Book in PDF, ePub and Kindle
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Ai In Business Opportunities And Limitations PDF full book. Access full book title Ai In Business Opportunities And Limitations.
Author | : Reem Khamis |
Publisher | : Springer Nature |
Total Pages | : 620 |
Release | : |
Genre | : |
ISBN | : 3031495446 |
Author | : Reem Khamis |
Publisher | : Springer Nature |
Total Pages | : 645 |
Release | : 2024 |
Genre | : |
ISBN | : 3031484797 |
Author | : Francesco Paolo Appio |
Publisher | : Taylor & Francis |
Total Pages | : 280 |
Release | : 2023-07-31 |
Genre | : Business & Economics |
ISBN | : 1000912639 |
Belonging to the realm of intelligent technologies, it is increasingly accepted that artificial intelligence (AI) has evolved from being merely a development standpoint in computer science. Indeed, recent reports and academic publications show that we are clearly on the path toward pervasive AI in both business and society. Organizations must adopt AI to maintain a competitive advantage and explore opportunities for unprecedented innovation. This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large. The book highlights novel and high-quality research in data science and business analytics and examines the current and future impact of AI in business and society. The authors bridge the gap between business and technical perspectives and demonstrate the potential (and actual) impact on society. Embracing applied, qualitative, and quantitative research as well as field experiments and data analysis, the book covers a broad range of topics including but not limited to human-centered AI, product and process innovation, corporate governance, AI and ethics, organizational performance, and entrepreneurship. This comprehensive book will be a valuable resource for researchers, academics, and postgraduate students across AI, technology and innovation management, and a wide range of business disciplines.
Author | : El Bachir Boukherouaa |
Publisher | : International Monetary Fund |
Total Pages | : 35 |
Release | : 2021-10-22 |
Genre | : Business & Economics |
ISBN | : 1589063953 |
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.
Author | : Harvard Business Review |
Publisher | : HBR Insights |
Total Pages | : 160 |
Release | : 2019 |
Genre | : Business & Economics |
ISBN | : 9781633697898 |
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Author | : Bernard Marr |
Publisher | : John Wiley & Sons |
Total Pages | : 351 |
Release | : 2019-05-28 |
Genre | : Business & Economics |
ISBN | : 1119548217 |
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Author | : Seth Earley |
Publisher | : LifeTree Media |
Total Pages | : 203 |
Release | : 2020-04-28 |
Genre | : Business & Economics |
ISBN | : 1928055524 |
Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence—AI—is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave—rather than be crushed by it—need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.
Author | : Daniel Huston |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Artificial intelligence |
ISBN | : |
Are you looking to transform your business and stay ahead of the competition? Artificial Intelligence (AI) is the key to unlocking your business's full potential. But we understand that the world of AI can be overwhelming, especially for those new to the technology. That's why we've created this beginner's guide to AI, designed specifically for businesses like yours.Our comprehensive guide covers everything you need to know about AI, from the basics to the more advanced topics, so that you can make informed decisions about integrating this game-changing technology into your business. You'll learn about the various types of AI, such as machine learning and neural networks, as well as the different applications of AI in industries ranging from healthcare to finance.But we don't stop there. We also delve into the ethical considerations of AI, so you can ensure that your business is using this technology in a responsible and socially conscious way. With this guide, you'll be equipped to take your business to the next level with the power of AI.In today's fast-paced and constantly evolving business landscape, it's crucial to stay ahead of the curve. With AI, you can do just that. This guide is the perfect tool for any business looking to harness the power of AI and take their operations to the next level. Don't miss out on this opportunity to transform your business and stay ahead of the competition.
Author | : Jason L. Anderson |
Publisher | : John Wiley & Sons |
Total Pages | : 179 |
Release | : 2020-04-09 |
Genre | : Business & Economics |
ISBN | : 1119651808 |
Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist. With data in hand, a scoped prototype can be built to limit risk and provide tangible value to the organization as a whole to justify further investment. Finally, a production level AI system can be developed with best practices to ensure quality with not only the application code, but also the AI models. Finally, with this particular AI adoption journey at an end, the authors will show that there is additional value to be gained by iterating on this AI adoption lifecycle and improving other parts of the organization.
Author | : Bhuvan Unhelkar |
Publisher | : CRC Press |
Total Pages | : 324 |
Release | : 2021-08-09 |
Genre | : Business & Economics |
ISBN | : 1000409430 |
This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.