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Applied Artificial Intelligence: Where AI Can Be Used In Business

Author: Francesco Corea

Publisher: Springer

Published: 2018-03-09

Total Pages: 41

ISBN-13: 331977252X

This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need). The idea of this work is indeed to provide some food for thoughts on how AI is impacting few verticals (insurance and financial services), affecting horizontal and technical applications (speech recognition and blockchain), and changing organizational structures (introducing new figures or dealing with ethical issues). The structure of the chapter is very similar, so I hope the reader won’t find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for. The first chapter of the book is indeed showing the potential and the achievements of new AI techniques in the speech recognition domain, touching upon the topics of bots and conversational interfaces. The second and thirds chapter tackle instead verticals that are historically data-intensive but not data-driven, i.e., the financial sector and the insurance one. The following part of the book is the more technical one (and probably the most innovative), because looks at AI and its intersection with another exponential technology, namely the blockchain. Finally, the last chapters are instead more operative, because they concern new figures to be hired regardless of the organization or the sector, and ethical and moral issues related to the creation and implementation of new type of algorithms.

Applied Artificial Intelligence

Author: Mariya Yao

Publisher:

Published: 2018-04-30

Total Pages: 246

ISBN-13: 9780998289021

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This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.

Applied Artificial Intelligence

Author: Professor Lewis Brown

Publisher:

Published: 2019-07-29

Total Pages: 138

ISBN-13: 9781086158465

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"Buy the paperback version of this book and get the kindle book version for free"Do you want to learn about new technologies to bring your business into the business of the 21st century? Artificial intelligence is proceeding forward to become the predominant element in human lives, whether businesses like it or not. Multinational companies have been able to leverage machine learning to gain insights into customer behavior and the intricacies of their own businesses to stay competitive and carry their businesses into the future. Standing toe-to-toe with these large companies may seem impossible with their huge data and staff resources, but artificial intelligence poises business leaders to level the playing field. Applied Artificial Intelligence teaches business leaders and data scientists how they can use intelligent technology to solve their business problems, scale AI technology to their business, use AI technology to train staff and develop leadership qualities, and keep up on the latest trends in IoT and business intelligence. The days of simply peddling a product and expecting a return are passed. The world of the modern day is characterized by information exchange, and this information exists in the form of data that need to be curated and analyzed. Businesses use data not only to make their businesses more competitive but literally to stay alive. Multinational businesses like Microsoft, Google, and Amazon are not giants in their industries because they developed sophisticated technologies and then stopped. These companies use data to stay competitive, and smaller companies will have to do the same if they expect to survive. Applied artificial intelligence refers to leveraging intelligent technology to increase the productivity of a business. This term acknowledges that artificial intelligence can be something abstract that computer scientists and data scientists experiment with in order to get a glimpse of our collective technological future, but it can also be a technology that has real practical aspects to businesses. The purpose of this book is to help the reader approach artificial intelligence pragmatically. The reader will be provided with strategies that other businesses use to integrate their data with smart technology. They will also be informed of the latest trends in business intelligence as well as given numerous examples of the many ways that businesses of every type are using machine learning to leverage profits. The idea that artificial intelligence is something scary that big, multinational companies use to do mysterious things with data is a viewpoint that is not helpful to any business owner. Artificial intelligence is shaping the future, and it is up to business leaders to recognize this and stay abreast of the latest trends and strategies. Would you like to know more?Scroll to the top of the page and select the buy now button.

Artificial Intelligence

Author: Harvard Business Review

Publisher: HBR Insights

Published: 2019

Total Pages: 160

ISBN-13: 9781633697898

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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.

Handbook of Research on Applied AI for International Business and Marketing Applications

Author: Christiansen, Bryan

Publisher: IGI Global

Published: 2020-09-25

Total Pages: 702

ISBN-13: 1799850781

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Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students.

Artificial Intelligence in Practice

Author: Bernard Marr

Publisher: John Wiley & Sons

Published: 2019-04-15

Total Pages: 232

ISBN-13: 1119548985

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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.

Applied Artificial Intelligence in Business

Author: Leong Chan

Publisher: Springer Nature

Published: 2022-07-19

Total Pages: 370

ISBN-13: 3031057406

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This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.

Artificial Intelligence in Practice

Author: Bernard Marr

Publisher: John Wiley & Sons

Published: 2019-05-28

Total Pages: 351

ISBN-13: 1119548217

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Applications of Artificial Intelligence in Business, Education and Healthcare

Author: Allam Hamdan

Publisher: Springer Nature

Published: 2021-07-12

Total Pages: 503

ISBN-13: 3030720802

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This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.

Artificial Intelligence for Business

Author: Rajendra Akerkar

Publisher: Springer

Published: 2018-08-11

Total Pages: 81

ISBN-13: 331997436X

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This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.