Reinforcement Learning in the Ridesharing Marketplace
| Author | : Zhiwei (Tony) Qin |
| Publisher | : Springer Nature |
| Total Pages | : 134 |
| Release | : |
| Genre | : |
| ISBN | : 3031596404 |
Reinforcement Learning In The Ridesharing Marketplace
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The AI Advantage
| Author | : Thomas H. Davenport |
| Publisher | : MIT Press |
| Total Pages | : 243 |
| Release | : 2019-08-06 |
| Genre | : Business & Economics |
| ISBN | : 0262538008 |
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
Artificial Intelligence and Deep Learning for Decision Makers
| Author | : Dr. Jagreet Kaur |
| Publisher | : BPB Publications |
| Total Pages | : 234 |
| Release | : 2019-12-28 |
| Genre | : Computers |
| ISBN | : 9389328683 |
Learn modern-day technologies from modern-day technical giants DESCRIPTIONÊ The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations.Ê The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research. KEY FEATURES Real-world success and failure stories of artificial intelligence explained Understand concepts of artificial intelligence and deep learning methodsÊ Learn how to use artificial intelligence and deep learning methods Know how to prepare dataset and implement models using industry leading Python packagesÊ YouÕll be able to apply and analyze the results produced by the models for prediction WHAT WILL YOU LEARN How to use the algorithms written in the Python programming language to design models and perform predictions in general datasets Understand use cases in different industries related to the implementation of artificial intelligence and deep learning methods Learn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methods WHO THIS BOOK IS FORÊ This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods. Table of Contents Artificial Intelligence and Deep Learning Data Science for Business Analysis Decision Making Intelligent Computing Strategies By GoogleÊ Cognitive Learning Services in IBM Watson Advancement web services by BaiduÊ Improved Social Business by Facebook Personalized Intelligent Computing by Apple Cloud Computing Intelligent by Microsoft
Learning Riders' Preferences in Ridesharing Platforms
| Author | : Ritaban Bhattacharya |
| Publisher | : |
| Total Pages | : 101 |
| Release | : 2020 |
| Genre | : Car pools |
| ISBN | : |
"Ridesharing platforms allow people to commute more efficiently. Ridesharing can be beneficial since it can reduce the travel expenses for individuals as well as decrease the overall traffic gridlocks. One of the key aspects of ridesharing platforms is for riders to find suitable partners to share the ride. Thus, the riders need to be matched to other riders/drivers. From the social perspective, a rider may prefer to share the ride with certain individuals as opposed to other riders. This leads to the rider having preferences over the other riders. A matching based on social welfare indicates the quality of the rides. Our goal is to maximize social welfare or the quality of rides for all riders. In order to match the riders, we need to know the preferences of the riders. However, the preferences are often unknown. To tackle these situations, we introduce a ridesharing model that implements reinforcement learning algorithms to learn the utilities of the riders based on the riders' previous experiences. We investigate a variety of measures for assessing social welfare, including utilitarian, egalitarian, Nash, and leximin social welfare. Additionally, we also compute the number of strong and weak blocking pairs in each socially optimal matching to compare the stability of these matchings. We provide a comparison between two reinforcement learning algorithms: [epsilon]-greedy and UCB1, for learning utilities of the riders, maximizing social welfare, and the number of blocking pairs in the socially optimal matching. The [epsilon]-greedy algorithm with [epsilon]=0.1 provides the maximum accuracy in learning the utilities of the riders as compared to [epsilon]=0.0, [epsilon]=0.01, and UCB1 algorithm. It also provides a fewer number of blocking pairs suggesting more stability in the socially optimal matching than other reinforcement learning algorithms. However, the UCB1 algorithm outperforms all other reinforcement learning algorithms to provide maximum welfare in socially optimal matchings."--Abstract.
Essential Concepts of Business for Lawyers
| Author | : Robert J. Rhee |
| Publisher | : Aspen Publishing |
| Total Pages | : 512 |
| Release | : 2020-02-02 |
| Genre | : Law |
| ISBN | : 154381963X |
Most law students have never had formal coursework in accounting or finance, yet these areas are integral to so many law school courses including: Business Associations, Securities Regulations, Corporate Finance, Taxation, Banking Law, Financial Regulation, and Business Planning. With math no more difficult than high school algebra, Essential Concepts of Business for Lawyers, Third Edition fills in those gaps with an accessible and interactive presentation of accounting, finance, and financial markets. Each stand-alone chapter provides a complete lesson that will shed light on business courses in law school, as well as business situations in legal practice. New to the Third Edition: Updates for and addition of new cases that illustrate the business concepts Addition of more examples, including information related to more companies such as Google and Uber Addition of new materials on the basic microeconomic concept of supply and demand Professors and students will benefit from: A self-contained course book that supports a 2-credit course on an overview of business concepts, including accounting, finance, valuation, financial instruments, and business strategy Lessons that go beyond the definitions of terms of art and business terminology A book written at an accessible level Edited appellate cases that connect business concepts to the law and legal practice Knowledge of the basic and most essential concepts of business Materials presented in an accessible way including the use of many examples to illustrate difficult concepts Clear explanations of difficult materials and foreign concepts
Digital Disruption
| Author | : Bharat Vagadia |
| Publisher | : Springer Nature |
| Total Pages | : 317 |
| Release | : 2020-09-25 |
| Genre | : Business & Economics |
| ISBN | : 303054494X |
This book goes beyond the hype, delving into real world technologies and applications that are driving our future and examines the possible impact these changes will have on industries, economies and society at large. It details the actions governments and regulators must take in order to ensure these changes bring about positive benefits to the public without stifling innovation that may well be the future source of value creation. It examines how organisations in a world of digital ecosystems, where industry boundaries are blurring, must undertake radical digital transformation to survive and thrive in this new digital world. The reader is taken through a framework that critically examines (i) Digital Connectivity including 5G and IoT; (ii) Data Capture and Distribution which includes smart connected verticals; (iii) Data Integrity, Control and Tokenisation that includes cyber security, digital signatures, blockchain, smart contracts, digital assets and cryptocurrencies; (iv) Data Processing and Artificial Intelligence; and (v) Disruptive Applications which include platforms, virtual and augmented reality, drones, autonomous vehicles, digital twins and digital assistants.
Elgar Encyclopedia of Pricing
| Author | : Andreas Hinterhuber |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 373 |
| Release | : 2024-07-05 |
| Genre | : Business & Economics |
| ISBN | : 1035307316 |
The Elgar Encyclopedia of Pricing presents a holistic view of cutting-edge topics, practical insights, and global perspectives on pricing. In-depth entries cover everything from behavioral pricing and artificial intelligence to sustainability pricing strategies and dynamic online pricing.
Synergy of AI and Fintech in the Digital Gig Economy
| Author | : Alex Khang |
| Publisher | : CRC Press |
| Total Pages | : 442 |
| Release | : 2024-09-30 |
| Genre | : Computers |
| ISBN | : 1040117082 |
The convergence of Artificial Intelligence (AI) and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the context of the digital gig economy. This emerging trend has created a unique set of challenges and opportunities, which AI and Fintech are poised to address. This book explores how the convergence of these cutting-edge technologies is reshaping the financial landscape, especially related to the way people work and earn in the gig economy, and examines the rise of the digital gig economy and its impact on the traditional workforce. Synergy of AI and Fintech in the Digital Gig Economy presents the key advancements in AI and Fintech, how they are disrupting traditional financial systems, and how AI-powered tools and platforms are streamlining financial processes, enhancing decision-making, and providing personalized services to individuals and businesses. The book explores how the synergy of AI and Fintech is advancing financial inclusion and looks at how these technologies are providing previously underserved populations with access to financial services and empowering them to participate in the global economy. Highlights include how AI and Fintech are revolutionizing risk assessment and management in the financial sector and discuss the use of advanced algorithms to detect fraud, assess creditworthiness, and mitigate financial risk more effectively. The book also addresses the regulatory challenges and ethical considerations arising from the integration of AI and Fintech and discusses the need for responsible AI and data privacy to ensure sustainable development. Insights, case studies, and practical examples provided in the book show how AI and Fintech are driving transformative changes and represent an area of significant interest and importance in the realm of finance and technology. Written for students, scholars, lecturers, researchers, scientists, experts, specialists, and engineers, this book represents an area of significant interest and importance in the realm of finance and technology. Real-world examples and contributions from industry experts give readers a comprehensive understanding of this hot trending topic.
Smart Technologies for Organizations
| Author | : Cinzia Dal Zotto |
| Publisher | : Springer Nature |
| Total Pages | : 292 |
| Release | : 2023-04-15 |
| Genre | : Business & Economics |
| ISBN | : 3031247752 |
This book contains high-profile contributions that emerged from the Information and Communication Technologies in Organizations and Society (ICTO) conference on "Smart Technologies for an Inclusive World," held in 2020. It focuses on the interplay between technology adoption, digital transformation, and value creation, highlighting various aspects of current issues organizations face in adopting digital technologies to achieve an inclusive and sustainable society in the long term. As such, the book contributes to our understanding of a humanistic approach to managing digital transformation toward inclusive organizations and societies and is a valuable asset for both researchers and managers of organizations.
Unpacking E-commerce Business Models, Trends and Policies
| Author | : OECD |
| Publisher | : OECD Publishing |
| Total Pages | : 116 |
| Release | : 2019-06-06 |
| Genre | : |
| ISBN | : 9264784187 |
As digital transformation has accelerated, the e-commerce landscape has become increasingly dynamic. New players have emerged at the same time that established actors have taken on new roles; some barriers to e-commerce at the firm, individual and country levels have been overcome, while other barriers have emerged. Innovative business models have transformed buyer-seller relationships and pushed out the frontier of what is possible to buy and sell online.
