Artificial Intelligence For Business Optimization
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Artificial Intelligence For Business Optimization
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Author : Bhuvan Unhelkar
language : en
Publisher: CRC Press
Release Date : 2021-08-09
Artificial Intelligence For Business Optimization written by Bhuvan Unhelkar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-09 with Computers categories.
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.
Artificial Intelligence For Business Optimization
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Author : Bhuvan Unhelkar
language : en
Publisher: CRC Press
Release Date : 2021-08-09
Artificial Intelligence For Business Optimization written by Bhuvan Unhelkar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-09 with Business & Economics categories.
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.
Machine Learning For Business
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Author : Doug Hudgeon
language : en
Publisher: Simon and Schuster
Release Date : 2019-12-24
Machine Learning For Business written by Doug Hudgeon and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-24 with Computers categories.
Summary Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen Think about the benefits of forecasting tedious business processes and back-office tasks Envision quickly gauging customer sentiment from social media content (even large volumes of it). Consider the competitive advantage of making decisions when you know the most likely future events Machine learning can deliver these and other advantages to your business, and it’s never been easier to get started! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning can deliver huge benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. About the book Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee your success, you’ll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results. What's inside Identifying tasks suited to machine learning Automating back office processes Using open source and cloud-based tools Relevant case studies About the reader For technically inclined business professionals or business application developers. About the author Doug Hudgeon and Richard Nichol specialize in maximizing the value of business data through AI and machine learning for companies of any size. Table of Contents: PART 1 MACHINE LEARNING FOR BUSINESS 1 ¦ How machine learning applies to your business PART 2 SIX SCENARIOS: MACHINE LEARNING FOR BUSINESS 2 ¦ Should you send a purchase order to a technical approver? 3 ¦ Should you call a customer because they are at risk of churning? 4 ¦ Should an incident be escalated to your support team? 5 ¦ Should you question an invoice sent by a supplier? 6 ¦ Forecasting your company’s monthly power usage 7 ¦ Improving your company’s monthly power usage forecast PART 3 MOVING MACHINE LEARNING INTO PRODUCTION 8 ¦ Serving predictions over the web 9 ¦ Case studies
Artificial Intelligence For Business
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Author : Rajendra Akerkar
language : en
Publisher: Springer
Release Date : 2018-08-11
Artificial Intelligence For Business written by Rajendra Akerkar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-11 with Business & Economics categories.
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.
Multi Objective Optimization Using Artificial Intelligence Techniques
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Author : Seyedali Mirjalili
language : en
Publisher: Springer
Release Date : 2019-07-24
Multi Objective Optimization Using Artificial Intelligence Techniques written by Seyedali Mirjalili and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Computers categories.
This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
Artificial Intelligence In Industrial Applications
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Author : Steven Lawrence Fernandes
language : en
Publisher: Springer Nature
Release Date : 2021-12-07
Artificial Intelligence In Industrial Applications written by Steven Lawrence Fernandes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Technology & Engineering categories.
This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.
Encyclopedia Of Business Analytics And Optimization
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2014-02-28
Encyclopedia Of Business Analytics And Optimization written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
Industrial Digital Transformation
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Author : Shyam Varan Nath
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-11-27
Industrial Digital Transformation written by Shyam Varan Nath and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with Computers categories.
Delve into industrial digital transformation and learn how to implement modern business strategies powered by digital technologies as well as organization and cultural optimization Key FeaturesIdentify potential industry disruptors from various business domains and emerging technologiesLeverage existing resources to identify new avenues for generating digital revenueBoost digital transformation with cloud computing, big data, artificial intelligence (AI), and the Internet of Things (IoT)Book Description Digital transformation requires the ability to identify opportunities across industries and apply the right technologies and tools to achieve results. This book is divided into two parts with the first covering what digital transformation is and why it is important. The second part focuses on how digital transformation works. After an introduction to digital transformation, you will explore the transformation journey in logical steps and understand how to build business cases and create productivity benefit statements. Next, you'll delve into advanced topics relating to overcoming various challenges. Later, the book will take you through case studies in both private and public sector organizations. You'll explore private sector organizations such as industrial and hi-tech manufacturing in detail and get to grips with public sector organizations by learning how transformation can be achieved on a global scale and how the resident experience can be improved. In addition to this, you will understand the role of artificial intelligence, machine learning and deep learning in digital transformation. Finally, you'll discover how to create a playbook that can ensure success in digital transformation. By the end of this book, you'll be well-versed with industrial digital transformation and be able to apply your skills in the real world. What you will learnGet up to speed with digital transformation and its important aspectsExplore the skills that are needed to execute the transformationFocus on the concepts of Digital Thread and Digital TwinUnderstand how to leverage the ecosystem for successful transformationGet to grips with various case studies spanning industries in both private and public sectorsDiscover how to execute transformation at a global scaleFind out how AI delivers value in the transformation journeyWho this book is for This book is for IT leaders, digital strategy leaders, line-of-business leaders, solution architects, and IT business partners looking for digital transformation opportunities within their organizations. Professionals from service and management consulting firms will also find this book useful. Basic knowledge of enterprise IT and some intermediate knowledge of identifying digital revenue streams or internal transformation opportunities are required to get started with this book.
Ai In Marketing Sales And Service
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Author : Peter Gentsch
language : en
Publisher: Springer
Release Date : 2018-10-22
Ai In Marketing Sales And Service written by Peter Gentsch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-22 with Computers categories.
AI and Algorithmics have already optimized and automated production and logistics processes. Now it is time to unleash AI on the administrative, planning and even creative procedures in marketing, sales and management. This book provides an easy-to-understand guide to assessing the value and potential of AI and Algorithmics. It systematically draws together the technologies and methods of AI with clear business scenarios on an entrepreneurial level. With interviews and case studies from those cutting edge businesses and executives who are already leading the way, this book shows you: how customer and market potential can be automatically identified and profiled; how media planning can be intelligently automated and optimized with AI and Big Data; how (chat)bots and digital assistants can make communication between companies and consumers more efficient and smarter; how you can optimize Customer Journeys based on Algorithmics and AI; and how to conduct market research in more efficient and smarter way. A decade from now, all businesses will be AI businesses – Gentsch shows you how to make sure yours makes that transition better than your competitors.
Applied Data Science And Machine Learning For Business Optimization 2025
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Author : Manish tripathi, Dr. Anshita Shukla
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Applied Data Science And Machine Learning For Business Optimization 2025 written by Manish tripathi, Dr. Anshita Shukla and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s data-driven world, businesses are increasingly turning to data science and machine learning (ML) to gain a competitive edge, optimize operations, and make informed decisions. The ability to harness large volumes of data and apply advanced analytical techniques is transforming industries, enabling businesses to improve efficiency, reduce costs, and unlock new growth opportunities. As we enter an era where data is one of the most valuable assets, understanding how to apply data science and ML to real-world business problems is becoming an essential skill for professionals across all sectors. “Applied Data Science and Machine Learning for Business Optimization” aims to provide practical insights into how data science and ML can be utilized to optimize business functions and drive strategic decision-making. This book bridges the gap between theory and practice, offering actionable guidance on implementing advanced analytics and machine learning techniques to solve common business challenges. Whether you are a business analyst, data scientist, or decision-maker, this book equips you with the tools, techniques, and real-world examples needed to leverage data science for business success. The core focus of this book is on applying data science and ML to optimize critical areas of business, such as operations, marketing, customer experience, finance, and supply chain management. Each chapter walks through the methodologies used in data analysis, model building, and performance evaluation, providing a hands-on approach that empowers readers to apply these techniques to their own business contexts. From predictive analytics to recommendation systems, natural language processing, and optimization algorithms, the book covers a wide range of ML tools that are instrumental in solving real-world business problems. A major goal of this book is to showcase the power of data-driven decision-making. With the exponential growth of data and computing power, businesses now have unprecedented opportunities to analyze trends, predict future outcomes, and automate decision-making processes. However, it’s crucial to approach these opportunities with a clear understanding of how to integrate data science and ML into the organizational workflow, while ensuring alignment with business goals and strategies. We believe that the application of data science and ML should not be limited to advanced technologists alone. This book is written to demystify these technologies and make them accessible to business professionals, regardless of their technical background. By focusing on practical case studies, real-world examples, and step-by-step instructions, we hope to empower readers to implement data science and ML solutions that drive measurable business outcomes. Ultimately, the journey of business optimization through data science and machine learning is a continual process of learning, adapting, and evolving. As businesses begin to adopt and scale these technologies, they will unlock new capabilities, enhance operational efficiencies, and build a more agile, data-driven organization. “Applied Data Science and Machine Learning for Business Optimization” serves as a foundational resource to help navigate this transformative journey. We hope this book inspires you to harness the power of data science and machine learning in your own organization, unlocking innovative solutions and driving impactful changes in your business. Authors