Data Enabled Analytics PDF Download
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Author | : Joe Zhu |
Publisher | : Springer Nature |
Total Pages | : 370 |
Release | : 2021-12-16 |
Genre | : Business & Economics |
ISBN | : 3030751627 |
Download Data-Enabled Analytics Book in PDF, ePub and Kindle
This book explores the novel uses and potentials of Data Envelopment Analysis (DEA) under big data. These areas are of widespread interest to researchers and practitioners alike. Considering the vast literature on DEA, one could say that DEA has been and continues to be, a widely used technique both in performance and productivity measurement, having covered a plethora of challenges and debates within the modelling framework.
Author | : Lawrence S. Maisel |
Publisher | : John Wiley & Sons |
Total Pages | : 243 |
Release | : 2022-01-19 |
Genre | : Business & Economics |
ISBN | : 1119736080 |
Download AI-Enabled Analytics for Business Book in PDF, ePub and Kindle
We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.
Author | : Sanjoy Das |
Publisher | : CRC Press |
Total Pages | : 300 |
Release | : 2022-03-21 |
Genre | : Technology & Engineering |
ISBN | : 1000539490 |
Download Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks Book in PDF, ePub and Kindle
This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANET The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.
Author | : Mashrur Chowdhury |
Publisher | : Elsevier |
Total Pages | : 346 |
Release | : 2017-04-05 |
Genre | : Business & Economics |
ISBN | : 0128098511 |
Download Data Analytics for Intelligent Transportation Systems Book in PDF, ePub and Kindle
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Includes case studies in each chapter that illustrate the application of concepts covered Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies Contains contributors from both leading academic and commercial researchers Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications
Author | : Abdalmuttaleb M. A. Musleh Al-Sartawi |
Publisher | : Springer Nature |
Total Pages | : 445 |
Release | : |
Genre | : |
ISBN | : 3031572424 |
Download Business Analytical Capabilities and Artificial Intelligence-enabled Analytics: Applications and Challenges in the Digital Era, Volume 2 Book in PDF, ePub and Kindle
Author | : Kirsten Martin |
Publisher | : CRC Press |
Total Pages | : 509 |
Release | : 2022-05-12 |
Genre | : Computers |
ISBN | : 1000566277 |
Download Ethics of Data and Analytics Book in PDF, ePub and Kindle
Unique selling point: Applies business ethics to the use of analytics, data, and AI Core audience: Graduate and undergraduate business students Place in the market: Graduate and undergraduate textbook
Author | : Katherine Marconi |
Publisher | : CRC Press |
Total Pages | : 374 |
Release | : 2014-12-20 |
Genre | : Business & Economics |
ISBN | : 1482229250 |
Download Big Data and Health Analytics Book in PDF, ePub and Kindle
This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.
Author | : Abdalmuttaleb M. A. Musleh Al-Sartawi |
Publisher | : Springer Nature |
Total Pages | : 441 |
Release | : |
Genre | : |
ISBN | : 3031560159 |
Download Business Analytical Capabilities and Artificial Intelligence-Enabled Analytics: Applications and Challenges in the Digital Era, Volume 1 Book in PDF, ePub and Kindle
Author | : Jay Liebowitz |
Publisher | : CRC Press |
Total Pages | : 187 |
Release | : 2020-08-06 |
Genre | : Computers |
ISBN | : 1000094677 |
Download Data Analytics and AI Book in PDF, ePub and Kindle
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.
Author | : Evan Stubbs |
Publisher | : John Wiley & Sons |
Total Pages | : 256 |
Release | : 2014-07-21 |
Genre | : Business & Economics |
ISBN | : 111872464X |
Download Big Data, Big Innovation Book in PDF, ePub and Kindle
A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth – you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed.