Cause And Effect Business Analytics And Data Science

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Cause And Effect Business Analytics And Data Science
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Author : Dominique Haughton
language : en
Publisher: CRC Press
Release Date : 2025-07-15
Cause And Effect Business Analytics And Data Science written by Dominique Haughton and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Business & Economics categories.
Among the most important questions that businesses ask are some very simple ones: If I decide to do something, will it work? And if so, how large are the effects? To answer these predictive questions, and later base decisions on them, we need to establish causal relationships. Establishing and measuring causality can be difficult. This book explains the most useful techniques for discerning causality and illustrates the principles with numerous examples from business. It discusses randomized experiments (aka A/B testing) and techniques such as propensity score matching, synthetic controls, double differences, and instrumental variables. There is a chapter on the powerful AI approach of Directed Acyclic Graphs (aka Bayesian Networks), another on structural equation models, and one on time-series techniques, including Granger causality. At the heart of the book are four chapters on uplift modeling, where the goal is to help firms determine how best to deploy their resources for marketing or other interventions. We start by modeling uplift, discuss the test-and-learn process, and provide an overview of the prescriptive analytics of uplift. The book is written in an accessible style and will be of interest to data analysts and strategists in business, to students and instructors of business and analytics who have a solid foundation in statistics, and to data scientists who recognize the need to take seriously the need for causality as an essential input into effective decision-making.
Handbook Of Research On Engineering Business And Healthcare Applications Of Data Science And Analytics
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Author : Patil, Bhushan
language : en
Publisher: IGI Global
Release Date : 2020-10-23
Handbook Of Research On Engineering Business And Healthcare Applications Of Data Science And Analytics written by Patil, Bhushan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-23 with Computers categories.
Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.
Proceedings Of The 23rd European Conference On Cyber Warfare And Security
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Author : Dr Martti Lehto
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2024-06-27
Proceedings Of The 23rd European Conference On Cyber Warfare And Security written by Dr Martti Lehto and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-27 with Computers categories.
These proceedings represent the work of contributors to the 23rd European Conference on Cyber Warfare and Security (ECCWS 2024), supported by University of Jyväskylä, and JAMK University of Applied Sciences, Finland on 27-28 June 2024. The Conference Chair is Dr Martti Lehto from the University of Jyväskylä, Finland, and the Programme Chair is Dr Mika Karjalainen from JAMK University of Applied Sciences, Finland. ECCWS is a well-established event on the academic research calendar and now in its 23rd year conference remains the opportunity for participants to network and share ideas. The aims and scope of the conference is to be a forum for technical, theoretical and practical exchange about the study, management, development and implementation of systems and concepts to improve cyber security and combat cyber warfare. The opening keynote presentation is given by Stefan Lee, from Ministry of Transport and Communications, Finland, on the topic of Geopolitics and Cyberspace: Key Implications for National Cybersecurity Policies and Strategies. The second day of the conference will open with an address by Colonel Janne Jokinen, Finnish Defence Force, Finland speaking on Ten Practical Hindrances to Building Cyber Defence. With an initial submission of 171 abstracts, after the double blind, peer review process there are 180 Academic research papers, 11 PhD research papers, 6 Masters research paper and 2 work-in-progress papers published in these Conference Proceedings. These papers represent research from Australia, Austria, Belgium, Canada, Czech Republic, Estonia, Finland, Germany, Ireland, Japan, Kingdom of Saudi Arabia, Lithuania, Norway, Oman, Poland, Portugal, Romania, South Africa, Spain, The Czech republic, United Arab Emirates, UK and USA.
Ai For People And Business
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Author : Alex Castrounis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-07-05
Ai For People And Business written by Alex Castrounis and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-05 with Computers categories.
If you're an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You'll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis,founder and CEO of Why of AI, Northwestern University Adjunct, advisor, and former IndyCar engineer and data scientist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changing--but too many AI initiatives end in failure. With this book, you'll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You'll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the book's AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend
Handbook Of Research On Ai And Knowledge Engineering For Real Time Business Intelligence
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Author : Hiran, Kamal Kant
language : en
Publisher: IGI Global
Release Date : 2023-04-04
Handbook Of Research On Ai And Knowledge Engineering For Real Time Business Intelligence written by Hiran, Kamal Kant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-04 with Business & Economics categories.
Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.
Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics
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Author : Andrew Greasley
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-10-21
Simulating Business Processes For Descriptive Predictive And Prescriptive Analytics written by Andrew Greasley and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-21 with Business & Economics categories.
This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.
Navigating Digital Transformation In Management
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Author : Richard Busulwa
language : en
Publisher: Taylor & Francis
Release Date : 2022-10-31
Navigating Digital Transformation In Management written by Richard Busulwa and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-31 with Business & Economics categories.
Navigating Digital Transformation in Management provides a thorough introduction to the implications of digital transformation for leaders and managers. The book clearly outlines what new or enhanced roles and activities digital transformation requires of them. The book takes a practical approach and shapes an actionable guide that students can take with them into their future careers as managers themselves. With core theoretical grounding, the book explains how the digital transformation imperative requires all organizations to continuously undertake digital business transformation to adapt to ongoing digital disruption and to effectively compete as digital businesses. The book discusses the critical roles managers need to play in establishing, facilitating, and accelerating the day-to-day activities required to build and continuously upgrade these capabilities. Drawing on cutting edge research, this textbook: Explains how digital technology advancements drive digital disruption and why digital business transformation and operating as a digital business are critical to organization survival Unpacks the different digital business capabilities required to effectively compete as a digital business Considers the new or digitally enhanced competencies required of leaders, managers, and their supporting professionals to effectively play their roles in digital transformation Discusses how leaders, managers, and their supporting professionals can keep up with digital technology advancements Unpacks key digital technology advancements, providing a plain language understanding of what they are, how they work, and their implications for organizations Enriched with pedagogical features to support understanding and reinforce learning, such as reflective questions, learning summaries, and case studies, and supported by a suite of instructor materials, this textbook is an ideal choice for teachers that want to enable their information systems, information technology, and digital business students to compete and thrive in the contemporary business environment.
Advanced Computing
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Author : Deepak Garg
language : en
Publisher: Springer Nature
Release Date : 2022-02-07
Advanced Computing written by Deepak Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-07 with Computers categories.
This volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021. The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
Applying Predictive Analytics
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Author : Richard V. McCarthy
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Applying Predictive Analytics written by Richard V. McCarthy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
The new edition of this textbook presents a practical, updated approach to predictive analytics for classroom learning. The authors focus on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life examples of how business analytics have been used in various aspects of organizations to solve issues or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. The new edition includes chapters on clusters and associations and text mining to support predictive models. An additional case is also included that can be used with each chapter or as a semester project.
Data Analytics And Ai
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Author : Jay Liebowitz
language : en
Publisher: CRC Press
Release Date : 2020-08-06
Data Analytics And Ai written by Jay Liebowitz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.