Название: Artificial Intelligence for Business: An Implementation Guide Containing Practical and Industry-Specific Case StudiesАвтор: Hemachandran K, Raul V. Rodriguez
Издательство: Routledge/Productivity Press
Год: 2024
Страниц: 373
Язык: английский
Формат: pdf (true)
Размер: 12.3 MB
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.
Artificial Intelligence (AI) is a subfield of Computer Science that aims to create intelligent robots capable of doing activities that normally require human intelligence, such as visual processing, voice recognition, decision-making, and language processing. AI is used in many different industries, from healthcare to retail, and is responsible for driving a wide range of technological advancements. AI is employed in a variety of applications, including natural language processing (NLP), automation, computer vision, and pattern recognition. It can be used to perform routine processes, increase analytical and predictive accuracy, and provide data-driven insights. AI has the potential to revolutionize many industries and make our lives easier, safer, and more efficient.
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.
The AI learning types include the following:
1. Supervised Learning: This method of AI learning allows learners feeding labeled data to the system. The data are utilized to teach the algorithm how to predict the outcome given a set of inputs.
2. Unsupervised Learning: This method of AI learning includes feeding unlabeled data to the system. The program may then recognize patterns in the information to forecast the outcomes based on these patterns.
3. Reinforcement Learning: This type of AI learning involves providing the machine with rewards when it correctly performs an action and punishments when it incorrectly performs an action. This helps the machine to learn over time.
4. Deep Learning: This type of AI learning uses artificial neural networks to help the machine in learning algorithm. These networks are modeled after the human brain and can be used to recognize patterns in data.
5. NLP: This type of AI learning uses algorithms to understand and process natural language. This is used in virtual assistants and chatbots. It is a branch of AI concerned with comprehending and analyzing human language.
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.
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