Optimizing Data To Learning To Action
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Optimizing Data To Learning To Action
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Author : Steven Flinn
language : en
Publisher: Apress
Release Date : 2018-04-06
Optimizing Data To Learning To Action written by Steven Flinn and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-06 with Computers categories.
Apply a powerful new approach and method that ensures continuous performance improvement for your business. You will learn how to determine and value the people, process, and technology-based solutions that will optimize your organization’s data-to-learning-to-action processes. This book describes in detail how to holistically optimize the chain of activities that span from data to learning to decisions to actions, an imperative for achieving outstanding performance in today’s business environment. Adapting and integrating insights from decision science, constraint theory, and process improvement, the book provides a method that is clear, effective, and can be applied to nearly every business function and sector. You will learn how to systematically work backwards from decisions to data, estimate the flow of value along the chain, and identify the inevitable value bottlenecks. And, importantly, you will learn techniques for quantifying the value that can be attained by successfully addressing the bottlenecks, providing the credible support needed to make the right level of investments at the right place and at just the right time. In today’s dynamic environment, with its never-ending stream of new, disruptive technologies that executives must consider (e.g., cloud computing, Internet of Things, AI/machine learning, business intelligence, enterprise social, etc., along with the associated big data generated), author Steven Flinn provides the comprehensive approach that is needed for making effective decisions about these technologies, underpinned by credibly quantified value. What You’ll Learn Understand data-to-learning-to-action processes and their fundamental elements Discover the highest leverage data-to-learning-to-action processes in your organization Identify the key decisions that are associated with a data-to-learning-to-action process Know why it’s NOT all about data, but it IS all about decisions and learning Determine the value upside of enhanced learning that can improve decisions Work backwards from the decisions to determine the value constraints in data-to-learning-to-action processes Evaluate people, process, and technology-based solution options to address the constraints Quantify the expected value of each of the solution options and prioritize accordingly Implement, measure, and continuously improve by addressing the next constraints on value Who This Book Is For Business executives and managers seeking the next level of organizational performance, knowledge workers who want to maximize their impact, technology managers and practitioners who require a more effective means to prioritize technology options and deployments, technology providers who need a way to credibly quantify the value of their offerings, and consultants who are ready to build practices around the next big business performance paradigm
Optimizing Data To Learning To Action
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Author : Steven D. Flinn
language : en
Publisher:
Release Date : 2018
Optimizing Data To Learning To Action written by Steven D. Flinn and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Decision making categories.
Apply a powerful new approach and method that ensures continuous performance improvement for your business. You will learn how to determine and value the people, process, and technology-based solutions that will optimize your organization's data-to-learning-to-action processes. This book describes in detail how to holistically optimize the chain of activities that span from data to learning to decisions to actions, an imperative for achieving outstanding performance in today's business environment. Adapting and integrating insights from decision science, constraint theory, and process improvement, the book provides a method that is clear, effective, and can be applied to nearly every business function and sector. You will learn how to systematically work backwards from decisions to data, estimate the flow of value along the chain, and identify the inevitable value bottlenecks. And, importantly, you will learn techniques for quantifying the value that can be attained by successfully addressing the bottlenecks, providing the credible support needed to make the right level of investments at the right place and at just the right time. In today's dynamic environment, with its never-ending stream of new, disruptive technologies that executives must consider (e.g., cloud computing, Internet of Things, AI/machine learning, business intelligence, enterprise social, etc., along with the associated big data generated), author Steven Flinn provides the comprehensive approach that is needed for making effective decisions about these technologies, underpinned by credibly quantified value. What You'll Learn: Understand data-to-learning-to-action processes and their fundamental elements Discover the highest leverage data-to-learning-to-action processes in your organization Identify the key decisions that are associated with a data-to-learning-to-action process Know why it's NOT all about data, but it IS all about decisions and learning Determine the value upside of enhanced learning that can improve decisions Work backwards from the decisions to determine the value constraints in data-to-learning-to-action processes Evaluate people, process, and technology-based solution options to address the constraints Quantify the expected value of each of the solution options and prioritize accordingly Implement, measure, and continuously improve by addressing the next constraints on value.
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
Handbook Of Research On Innovative Techniques Trends And Analysis For Optimized Research Methods
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Author : Wang, Viktor
language : en
Publisher: IGI Global
Release Date : 2017-12-30
Handbook Of Research On Innovative Techniques Trends And Analysis For Optimized Research Methods written by Wang, Viktor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-30 with Reference categories.
Information acquisition and management has always had a profound impact on societal and organizational progression. This is due to higher education programs continuously expanding, students and academics being engaged in modern research, and the constant evaluating of current processes in education for optimization for the future. The Handbook of Research on Innovative Techniques, Trends, and Analysis for Optimized Research Methods is a comprehensive reference source focused on the latest research methods currently facing educational technology and learners. While highlighting the innovative trends and methods, readers will learn valuable ways to conduct research and advance the understanding of ideas based on the results of their research. This publication is an important asset for teachers, researchers, practitioners, and graduate students looking to gain more knowledge on research trends and their applications.
Machine Learning Optimization And Data Science
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Author : Giuseppe Nicosia
language : en
Publisher: Springer Nature
Release Date : 2021-01-07
Machine Learning Optimization And Data Science written by Giuseppe Nicosia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-07 with Computers categories.
This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Machine Learning Optimization And Big Data
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Author : Panos M. Pardalos
language : en
Publisher: Springer
Release Date : 2016-12-24
Machine Learning Optimization And Big Data written by Panos M. Pardalos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-24 with Computers categories.
This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Mongodb In Action Third Edition
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Author : Arek Borucki
language : en
Publisher: Simon and Schuster
Release Date : 2025-08-19
Mongodb In Action Third Edition written by Arek Borucki 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 2025-08-19 with Computers categories.
Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas multi-cloud data platform. In MongoDB 8.0 in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the MongoDB Atlas multi-cloud data platform. Learn to utilize MongoDB’s flexible schema design for data modeling, scale applications effectively using advanced sharding features, integrate full-text and vector-based semantic search, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action! In MongoDB 8.0 in Action, Third Edition you'll: • Master new features in MongoDB 8.0 • Create your first, free Atlas cluster using the Atlas CLI • Design scalable NoSQL databases with effective data modeling techniques • Master Vector Search for building GenAI-driven applications • Utilize advanced search capabilities in MongoDB Atlas, including full-text search • Build Event-Driven Applications with Atlas Stream Processing • Deploy and manage MongoDB Atlas clusters both locally and in the cloud using the Atlas CLI • Leverage the Atlas SQL interface for familiar SQL querying • Use MongoDB Atlas Online Archive for efficient data management • Establish robust security practices including encryption • Master backup and restore strategies • Optimize database performance and identify slow queries MongoDB 8.0 in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlas—including new advanced features such as embedded config servers in sharded clusters, or moving an unsharded collection to a different shard. The book also covers Atlas stream processing, full text search, and vector search capabilities for generative AI applications. Each chapter is packed with tips, tricks, and practical examples you can quickly apply to your projects, whether you're brand new to MongoDB or looking to get up to speed with the latest version. About the technology MongoDB is the database of choice for storing structured, semi-structured, and unstructured data like business documents and other text and image files. MongoDB 8.0 introduces a range of exciting new features—from sharding improvements that simplify the management of distributed data, to performance enhancements that stay resilient under heavy workloads. Plus, MongoDB Atlas brings vector search and full-text search features that support AI-powered applications. About the book MongoDB 8.0 in Action, Third Edition you’ll learn how to take advantage of all the new features of MongoDB 8.0, including the powerful MongoDB Atlas multi-cloud data platform. You’ll start with the basics of setting up and managing a document database. Then, you’ll learn how to use MongoDB for AI-driven applications, implement advanced stream processing, and optimize performance with improved indexing and query handling. Hands-on projects like creating a RAG-based chatbot and building an aggregation pipeline mean you’ll really put MongoDB into action! What's inside • The new features in MongoDB 8.0 • Get familiar with MongoDB’s Atlas cloud platform • Utilizing sharding enhancements • Using vector-based search technologies • Full-text search capabilities for efficient text indexing and querying About the reader For developers and DBAs of all levels. No prior experience with MongoDB required. About the author Arek Borucki is a MongoDB Champion, certified MongoDB and MongoDB Atlas administrator with expertise in distributed systems, NoSQL databases, and Kubernetes. Table of Contents Part 1 1 Understanding the world of MongoDB 2 Getting started with Atlas and MongoDB data 3 Communicating with MongoDB 4 Executing CRUD operations 5 Designing a MongoDB schema 6 Building aggregation pipelines 7 Indexing for query performance 8 Executing multidocument ACID transactions 9 Using replication and sharding Part 2 10 Delving into Database as a Service 11 Carrying out full-text search using Atlas Search 12 Learning semantic techniques and Atlas Vector Search 13 Developing AI applications locally with the Atlas CLI 14 Building retrieval-augmented generation AI chatbots 15 Building event-driven applications 16 Optimizing data processing with Atlas Data Federation 17 Archiving online with Atlas Online Archive 18 Querying Atlas using SQL 19 Creating charts, database triggers, and functions Part 3 20 Understanding Atlas and MongoDB security features 21 Operational excellence with Atlas Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Trends In Renewable Energies Offshore
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Author : C. Guedes Soares
language : en
Publisher: CRC Press
Release Date : 2022-11-02
Trends In Renewable Energies Offshore written by C. Guedes Soares and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-02 with Transportation categories.
Renewable energy resources offshore are a growing contributor to the total energy production in a growing number of countries. As a result the interest in the topic is increasing. Trends in Renewable Energies Offshore includes the papers presented at the 5th International Conference on Renewable Energies Offshore (RENEW 2022, Lisbon, Portugal, 8-10 November 2022), and covers recent developments and experiences gained in concept development, design and operation of such devices. The scope of the contributions is broad, covering all aspects of renewable energies offshore activities, including: • Resource assessment • Tidal Energy • Wave Energy • Wind Energy • Solar Energy • Renewable Energy Devices • Multiuse Platforms • Maintenance planning • Materials and structural design Trends in Renewable Energies Offshore will be of interest to academics and professionals involved or interested in applications of renewable energy resources offshore. The ‘Proceedings in Marine Technology and Ocean Engineering’ series is dedicated to the publication of proceedings of peer-reviewed international conferences dealing with various aspects of ‘Marine Technology and Ocean Engineering’. The Series includes the proceedings of the following conferences: the International Maritime Association of the Mediterranean (IMAM) conferences, the Marine Structures (MARSTRUCT) conferences, the Renewable Energies Offshore (RENEW) conferences and the Maritime Technology (MARTECH) conferences. The ‘Marine Technology and Ocean Engineering’ series is also open to new conferences that cover topics on the sustainable exploration and exploitation of marine resources in various fields, such as maritime transport and ports, usage of the ocean including coastal areas, nautical activities, the exploration and exploitation of mineral resources, the protection of the marine environment and its resources, and risk analysis, safety and reliability. The aim of the series is to stimulate advanced education and training through the wide dissemination of the results of scientific research.
Data Driven Modeling And Optimization Applications To Social Computing
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Author : Chao Gao
language : en
Publisher: Frontiers Media SA
Release Date : 2022-09-14
Data Driven Modeling And Optimization Applications To Social Computing written by Chao Gao and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Science categories.
Artificial Intelligence Optimization And Data Sciences In Sports
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Author : Maude J. Blondin
language : en
Publisher: Springer Nature
Release Date : 2025-01-30
Artificial Intelligence Optimization And Data Sciences In Sports written by Maude J. Blondin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Mathematics categories.
This book delves into the dynamic intersection of data science, data mining, machine learning, and optimization within sports. It compiles and presents the latest achievements in this vibrant and emerging research area, offering a comprehensive overview of how these technologies revolutionize sports analytics and performance. Topical coverage includes artificial intelligence in sports, automated machine learning for training sessions, computational social science, and deep learning applications. Readers will also explore cutting-edge concepts such as digital twins in sports and sports prediction through data analysis. This volume highlights theoretical advancements and practical case studies that demonstrate real-world applications. Ideal for researchers, practitioners, and students in fields related to sports science, data analytics, and machine learning, this book serves as a crucial resource for anyone looking to understand the transformative impact of technology on sports. Whether you are an academic scholar or a professional working in the industry, this collection offers valuable insights that bridge the gap between research and practical solutions.