Frictionless Data
You've heard the promises of data: if you just unlock the hidden insights, you can win an unfair game. But for people at most companies, friction prevents data from flowing effortlessly into decisions. Technology alone won't make the connection for you. Neither will finding more data; you've already got plenty. To connect data with decisions, you'll need to reverse the way data flows through all your systems and decisions.If you're a business decision-maker - a CEO, CIO, or CxO - you'll see the connection between a data strategy and the thousands of decisions people in your company make every day. If you're a data worker, you'll see how your work changes the direction of a company. And if you're an analyst - someone who bridges the gap between top-level decision makers and what's really happening in the business - you'll find a new vision of how to use data to transform your job and your company.Instead of new technology offering tired promises to make your job easier, you'll find management solutions for better, faster decisions. Unified data flowing through your company, to everyone at the same time, improving business decisions through alignment and visibility, trust and scale.That's Frictionless Decision Data.
Frictionless Data
You've heard the promises of data: if you just unlock the hidden insights, you can win an unfair game. But for people at most companies, friction prevents data from flowing effortlessly into decisions. Technology alone won't make the connection for you. Neither will finding more data; you've already got plenty. To connect data with decisions, you'll need to reverse the way data flows through all your systems and decisions.If you're a business decision-maker - a CEO, CIO, or CxO - you'll see the connection between a data strategy and the thousands of decisions people in your company make every day. If you're a data worker, you'll see how your work changes the direction of a company. And if you're an analyst - someone who bridges the gap between top-level decision makers and what's really happening in the business - you'll find a new vision of how to use data to transform your job and your company.Instead of new technology offering tired promises to make your job easier, you'll find management solutions for better, faster decisions. Unified data flowing through your company, to everyone at the same time, improving business decisions through alignment and visibility, trust and scale.That's Frictionless Decision Data.
Cultural Data Science
This book addresses growing demand in the visual humanities for foundational knowledge in data analysis, image processing, and artificial intelligence. Intended for readers without prior technical knowledge, its eighteen chapters introduce key concepts in data science through examples from art history, visual computing, and cloud technologies. For advanced readers, it explores how digital methods enhance our understanding of our cultural past. Focusing on image-based humanities research, the book demonstrates practical applications using open source software such as R, RStudio, and ImageMagick, along with open data sets from institutions like the MoMA, the Met, and the Rijksmuseum. Ideal for students, researchers, and professionals in art history, digital humanities, and museum studies, this book bridges the gap between technology and the humanities, making complex digital methods accessible to a broad audience.
Computational Intelligence Methods for Bioinformatics and Biostatistics
This volume LNCS 15276 constitutes the revised selected papers of the 19th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2024, held in Benevento, Italy, during September 4-6, 2024. The 24 full papers and 3 short papers were carefully reviewed and selected from 28 submissions. They were organized in the following topical sections: Bioinformatics; Medical Informatics; Natural Language Processing (NLP) and Large Language Models (LLM) for Unstructured Data in Health Informatics; Modeling and Simulation Methods for Computational Biology and Systems Medicine; Machine Learning for Structured Data in Clinical Informatics and Medical Biology; Computational Intelligence in Personalized Medicine; and Computational Structural Bioinformatics.
Modelling and Development of Intelligent Systems
This book CCIS 2486 constitutes the refereed proceedings of the 9th International Conference on Modelling and Development of Intelligent Systems, MDIS 2024, held in Sibiu, Romania, during October 17-19, 2024. The 16 full papers were carefully reviewed and selected from 42 submissions. The MDIS 2024 focuses on Machine Learning, Intelligent Systems for Decision supports, Modelling and optimization of Dynamic Systems, Evolutionary Computing and Metaheuristics, Security and Cryptography in Dynamic Systems.
Big Data Management and Analytics
As more companies go digital and conduct their business online, this book provides practical examples of how they can better manage their data and use it to generate maximum value. It offers an integrated approach by treating data as an asset and discusses how to preserve and protect it just like any other corporate asset.Big Data Management and Analytics: Concepts, Tools, and Applications illustrates effective strategies for managing, governing, and analyzing big data to gain a competitive edge for companies utilizing big data and analytics. It offers a comprehensive guide on methods, tools, and concepts to efficiently manage and analyze big data in order to make informed decisions. Additionally, this book explores the significance of artificial intelligence and machine learning in leveraging big data and how they can be optimized in a well-structured environment. This book also emphasizes treating big data as a valuable asset and outlines strategies for preserving and safeguarding it like any other corporate asset. The inclusion of case studies ensures that the methodologies and concepts presented can be easily implemented in day-to-day operations.Given the current significance of big data in the business world, this book equips readers with the necessary skills to effectively manage this valuable asset. It is tailored for practitioners, students, and professionals working in data mining, big data, and machine learning across various industries, including manufacturing.
Computational Intelligence Methods for Bioinformatics and Biostatistics
The book constitutes the refereed post-conference proceedings of the 18th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2023, held in Padova, Italy, during September 6-8, 2023. The 23 full papers presented in these proceedings were carefully reviewed and selected from 24 submissions. They focuses on topics such as machine learning in healthcare informatics and medical biology; machine learning explainability in medical imaging; prediction uncertainty in machine learning; advanced statistical and computational methodologies for single-cell omics data; present and future research in bioinformatics; distributed computing in bioinformatics and computational biology; and modelling and simulation methods for computational biology and systems medicine.
Navigating the Data Minefields
Volumes have been written on the need for high-quality data to support organizational decision-making. Most of those books appear to focus on the development and sustainment of data from the standpoint of those directly responsible for the management of data stores and the use of technology necessary to acquire, store, and secure data sets.Navigating the Data Minefields: Management's Guide to Better Decision-Making provides executives and subject matter experts (SMEs) with a "reasonable" set of useful tools they can adapt to their specific organization and operating environment. While complexity can never be taken out of an integrated system, decision-making can be facilitated by using metrics that take into consideration the quality of the data used to make decisions, i.e., risk mitigation.Professionals who depend on large high-quality data sets, such as senior and mid-level management, engineering SMEs, data scientists, IT, systems engineers, and medical professionals, will want to have this book in their decision-making arsenal.
Deep Learning Recommender Systems
Recommender systems are ubiquitous in modern life and are one of the main monetization channels for Internet technology giants. This book helps graduate students, researchers and practitioners to get to grips with this cutting-edge field and build the thorough understanding and practical skills needed to progress in the area. It not only introduces the applications of deep learning and generative AI for recommendation models, but also focuses on the industry architecture of the recommender systems. The authors include a detailed discussion of the implementation solutions used by companies such as YouTube, Alibaba, Airbnb and Netflix, as well as the related machine learning framework including model serving, model training, feature storage and data stream processing.
An Agile Data Guide to Information Product Canvas
Are you tired of spending valuable time documenting data requirements, only to hear "that's not what I wanted"?Do you feel like a "data order taker" instead of a trusted partner driving meaningful outcomes?Is your team struggling because stakeholders speak a "very different language" when it comes to data?Are traditional requirements gathering methods leaving you with ambiguous needs, leading to wasted effort and projects that underdeliver?If you answered yes to any of these, then An Agile Data Guide To Information Product Canvas is for you. This isn't just another tech or methodology heavy book, it's the beginning of your journey into a set of proven patterns and pattern templates designed to change how you gather data requirements and deliver organisational value.Created by Shane Gibson, Agile Data Coach and author of the Agile Data Guides, this book introduces the Information Product Canvas, a clear, concise pattern template to capture data and information needs in a repeatable way.Imagine capturing requirements in just 30 minutes using a shared language that everyone understands, no matter their role or technical skill. This guide shows you how to visually collaborate with stakeholders, validate requirements as you go, and clearly define scope boundaries from the start.By linking what stakeholders want with why they need it, you'll connect every piece of data work to tangible business outcomes.Avoid building dashboards, reports, datasets, or APIs no one uses. Deliver Information Products that reduce churn, grow revenue, or drive efficiency-because they're tied to real goals.This guide is built for Business Analysts, Product Managers, Data Analysts, Data Engineers, Data Leaders, Agile Coaches, and Stakeholders alike. Inside, you'll learn how to: Capture stakeholder needs clearly and get immediate feedbackEmpower data teams with exactly what they need, without the fluffHelp stakeholders prioritise what matters mostMinimise rework and reduce frustrating back-and-forthAccelerate delivery of valuable Information ProductsTranslate business problems into data workBuild trust by consistently delivering what's importantWith over 35 years of experience in the data world. and a decade coaching teams. Shane shares practical tools to help your team deliver value earlier and enjoy the process.An Agile Data Guide to Information Product Canvas is just the start. Keep learning with the companion website, virtual in-person course, or get instant help from the AgileData.Coach AI Chatbot.Ready to begin your journey?
Stakeholder Whispering
Learn to uncover what your managers, clients, customers and other stakeholders need before doing what they ask People don't know what they need. The wants we communicate to others are shaped by our subconscious and the familiar, and limited by what we think is possible. But they don't always reflect our actual needs. In Stakeholder Whispering: Uncover What People Need Before Doing What They Ask, author Bill Shander demonstrates how to get from your stakeholders' "order"--what they're asking for--to what they really need. You'll learn how to uncover the needs and desires of your clients, colleagues, bosses, customers, and other stakeholders based on what they ask for and how they ask for it, and how to deliver products and services that meet those needs. Inside the book: Help your stakeholders accomplish their goals and make the best decisions possible by helping them see what they really need Shift from executing on tactics driven by others' commands, to strategic action driven by underlying needs Transform your organization from one filled with "order-takers" into one where people work collaboratively to meet goal-oriented requirements Perfect for managers, executives, and other business leaders, Stakeholder Whispering will also earn a place on the bookshelves of entrepreneurs, founders, designers, product and project managers, UX experts, data and business analysts, and anyone else hoping to better meet the expectations of their coworkers, managers, clients, and customers.
Model-Based Product Line Engineering (Mbple)
Clear and concise guide to MBPLE, with industrial case studies Written in a to-the-point style, Model-Based Product Line Engineering (MBPLE) is the only theoretical and practical foundational book on MBPLE that brings together the topics of model-based systems engineering (MBSE) and feature-based product line engineering (PLE). It examines how PLE can benefit from a model-based and model-centric approach and, in turn, how MBSE combined with holistic PLE can boost model reuse and improve the MBSE business case. The book combines both management and engineering aspects to deliver comprehensive coverage of the subject. The book covers real-life challenges and implementations of MBPLE, discussing adoption obstacles faced by engineering organizations and how to overcome them to ensure a successful MBPLE deployment. Dozens of SysML v2 views, SysML v1 diagrams, SysML v2 code snippets and illustrations are included throughout to elucidate key concepts. Additional supplementary learning materials are available on a companion website. Written by a team of expert authors and contributors with significant experience in the field of applied MBPLE, Model-Based Product Line Engineering (MBPLE) discusses sample topics including: Motivation for MBPLE, covering document-based to model-based engineering, project-oriented to product-line-oriented engineering, and digital continuity and system lifecycle management Foundations of MBPLE, covering basic definitions, the history of MBPLE, recent MBPLE works and standards, and the impact of MBPLE on engineering processes Implementation of MBPLE using the next generation modeling language SysML v2 Adoption of MBPLE, covering investment interests, company processes, change management and digital transformation, and methods, guidelines, coaching Model-Based Product Line Engineering (MBPLE) delivers vision, benefits, and strategic guidance for managers, executives, and business leaders while serving as a practical guide for system engineers who are new to the MBPLE discipline or already familiar with it.
Azure Cloud Projects
Learn Microsoft Azure from the ground up-master the fundamentals, build simple cloud applications, and gain real-world experience with each projectKey Features: - Understand the core concepts of Azure, including its architecture and primary services- Learn to build full-fledged Azure projects-from web apps to containerized solutions- Start with Azure basics and move to advanced topics like DevOps, security, and cost optimization- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Want to get hands-on with Azure and boost your cloud solution skills by working on real-world projects? Azure Cloud Projects is your go-to resource. Written by a seasoned Microsoft Cloud Technologies Architect renowned for his expertise in crafting innovative solutions, this hands-on guide will empower you to build real-world applications using Microsoft Azure.Through hands-on projects, you'll explore core cloud concepts and gain the experience needed to confidently launch your cloud career. The chapters help you build a strong foundation in cloud computing and Azure services, including how to set up your Azure account and navigate the portal. You'll learn how to develop increasingly complex solutions as you progress-from configuring networks and deploying web apps to managing databases and containers. Advancing through the chapters, you'll learn how to implement identity and access controls with Entra ID, automate workflows using Azure Functions, build a CI/CD pipeline with Azure DevOps, and optimize cloud costs for scalable growth.By the end of this book, you'll have a solid grasp of Azure's capabilities and a portfolio of practical projects that showcase your job-ready skills and set you up for success in entry-level cloud roles.What You Will Learn: - Set up Azure and explore cloud fundamentals- Implement Entra ID and hybrid identity solutions- Build and secure storage with Azure Blob Storage- Design virtual networks and configure VPN gateways- Deploy your first web app using Azure App Service- Automate workflows with Azure Functions- Create CI/CD pipelines with Azure DevOpsWho this book is for: If you're new to cloud computing and want to build a solid foundation in Microsoft Azure, this book is for you. Ideal for aspiring cloud engineers, junior developers, IT support staff, and tech enthusiasts, it offers simple, step-by-step guidance to help you learn by doing. No prior Azure experience is needed-just a basic understanding of cloud concepts and familiarity with programming.Table of Contents- Introduction to Azure and Cloud Computing- Implementing Entra ID and Hybrid Connectivity- Implementing Azure Storage Solutions- Understanding the Azure Network Topology, Design Principles, and Best Practices- Implementing a Serverless Solution- Principles and Practices of Scalable Data Management- Building a Continuous Integration and Continuous Delivery Pipeline- Designing and Building a Containerized Solution on Azure- Enhancing Security and Compliance in an Azure Project- Developing a Cloud Cost Optimization Strategy
Доклады Независимых Авторов, вып
Периодическое многопрофильное научно-техническое печатное издание
Demystifying Big Data Analytics for Industries and Smart Societies
From Numbers to Narratives that Transform Businesses
This book shows the reader how to transform cold numbers into captivating narratives that drive business success. Master the art and science of data storytelling, blend logic with creativity, and turn insights into action. Learn to craft stunning visuals, navigate data-driven decisions, and infuse your data with key principles for maximum impact. This book is your roadmap to turning data from mere information into a powerful catalyst for transformation.
Process Mining Workshops
This book constitutes the revised accepted papers of several workshops which were held in conjunction with the 6th International Conference on Process Mining, ICPM 2024, held in Lyngby, Denmark, during October 2024. The 56 revised full papers presented in this book were carefully reviewed and selected from 126 submissions. The papers presented in this volume stem from the following workshops: - 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI) - 3rd International Workshop on Education Meets Process Mining (EduPM) - 3rd International Workshop on Collaboration Mining for Distributed Systems (CoMinDS) - 5th International Workshop on Leveraging Machine Learning in Process Mining (ML4PM) - 5th International Workshop on Event Data and Behavioral Analytics (EdbA) - 7th International Workshop on Process-Oriented Data Science for Healthcare (PODS4H) - 1st International Workshop on Empirical Research in Process Mining (ERPM) - 1st International Workshop on Generative Artificial Intelligence for Process Mining (GenAI4PM) - 4th International Workshop on Stream Management & Analytics for Process Mining (SMA4PM) - 1st International Workshop on Process Mining for Sustainability (PM4S).
Corpus-Based Studies in Specialized Discourses
This book illustrates the complex ways language operates within specific professional and academic contexts. Through a series of meticulously conducted corpus-based studies, the volume explores the unique linguistic features and rhetorical strategies that characterize specialized discourses across various fields, including medicine, engineering, and the humanities. It examines key aspects such as metadiscourse markers, rhetorical structures of research articles, and the customization of vocabulary tools to enhance language learning and professional communication. By revealing patterns and trends that traditional methods might overlook, this collection offers valuable insights for scholars, educators, and practitioners, making it an essential resource for understanding and improving communication withinspecialized domains.
Fundamentals of Software Architecture
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics. Mark Richards and Neal Ford--hands-on practitioners who have taught software architecture classes professionally for years--focus on architecture principles that apply across all technology stacks. You'll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture styles and patterns: Microservices, modular monoliths, microkernels, layered architectures, and many more Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, collaboration, business engagement models, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years, including cloud considerations and generative AI Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture
Big Data and Artificial Intelligence
This book constitutes the proceedings of the 12th International Conference on Big Data and Artificial Intelligence, BDA 2024, held in Hyderabad, India, during December 17-20, 2024. The 16 full papers and 12 short papers presented here were carefully reviewed and selected from 106 submissions. These papers have been categorized under the following topical sections: Image Classification; Graph Analytics; Big Data Analytics; Applications; Data Science; Health-Care Analytics; eLearning; Prediction and Forecasting.
Business Analytics with Python
Data-driven decision-making is a fundamental component of business success. Use this textbook to learn the core knowledge and techniques for analyzing business data with Python programming.Business Analytics with Python assumes no prior knowledge or experience in computer science, presenting the technical aspects of the subject in an accessible, introductory way for students on business courses. It features chapters on linear regression, neural networks and cluster analysis, with a running case study that enables students to apply their knowledge. Students will also benefit from real-life examples to show how business analysis has been used for such tasks as customer churn prediction, credit card fraud detection and sales forecasting. This book presents a holistic approach to business analytics: in addition to Python, it covers mathematical and statistical concepts, essential machine learning methods and their applications. Business Analytics with Python comes complete with practical exercises and activities, learning objectives and chapter summaries as well as self-test quizzes. It is supported by online resources that include lecturer PowerPoint slides, study guides, sample code and datasets and interactive worksheets. This textbook is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees.
