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Auteur Bill SCHMARZO |
Documents disponibles écrits par cet auteur (4)
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Titre : AI & Data Literacy : Empowering Citizens of Data Science Type de document : e-book Auteurs : Bill SCHMARZO Editeur : PACKT PUBLISHING Année de publication : 2023 ISBN/ISSN/EAN : 9781835083505 Note générale : copyrighted Langues : Anglais (eng) Résumé : Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world. Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesPrepare for a future dominated by AI and big dataEnhance your AI and data literacy with real-world examplesLearn how to leverage AI and data to address current and future challengesBook DescriptionAI is undoubtedly a game-changing tool with immense potential to improve human life. This book aims to empower you as a Citizen of Data Science, covering the privacy, ethics, and theoretical concepts you’ll need to exploit to thrive amid the current and future developments in the AI landscape. We'll explore AI's inner workings, user intent, and the critical role of the AI utility function while also briefly touching on statistics and prediction to build decision models that leverage AI and data for highly informed, more accurate, and less risky decisions. Additionally, we'll discuss how organizations of all sizes can leverage AI and data to engineer or create value. We'll establish why economies of learning are more powerful than the economies of scale in a digital-centric world. Ethics and personal/organizational empowerment in the context of AI will also be addressed. Lastly, we'll delve into ChatGPT and the role of Large Language Models (LLMs), preparing you for the growing importance of Generative AI. By the end of the book, you'll have a deeper understanding of AI and how best to leverage it and thrive alongside it.What you will learnGet to know the fundamentals of data literacy, privacy, and analyticsFind out what makes AI tick and the role of the AI utility functionMake informed decisions using prominent decision-making frameworksUnderstand relevant statistics and probability conceptsCreate new sources of value by leveraging and applying AI and dataApply ethical parameters to AI development with real-world examplesFind out how to get the most out of ChatGPT and its peersWho this book is forThis book is designed to benefit everyone from students to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their AI and Data literacy. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88946144 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=579242 The Economics of Data, Analytics, and Digital Transformation / Bill SCHMARZO / PACKT PUBLISHING (2020)
Titre : The Economics of Data, Analytics, and Digital Transformation Type de document : e-book Auteurs : Bill SCHMARZO Editeur : PACKT PUBLISHING Année de publication : 2020 ISBN/ISSN/EAN : 9781800561410 Note générale : copyrighted Langues : Anglais (eng) Résumé : Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine LearningKey FeaturesMaster the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindsetAcquire implementable knowledge on digital transformation through 8 practical lawsExplore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctlyBook DescriptionIn today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator.The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise.The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning.By the end of the book, you will have the tools and techniques to drive your organization's digital transformation.Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book:Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon.What you will learnTrain your organization to transition from being data-driven to being value-drivenNavigate and master the big data business model maturity indexLearn a methodology for determining the economic value of your data and analyticsUnderstand how AI and machine learning can create analytics assets that appreciate in value the more that they are usedBecome aware of digital transformation misconceptions and pitfallsCreate empowered and dynamic teams that fuel your organization's digital transformationWho this book is forThis book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88906187 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=525338 Big Data MBA : Driving Business Strategies with Data Science Ed. 1 / Bill SCHMARZO / John Wiley & Sons (2015)
Titre : Big Data MBA : Driving Business Strategies with Data Science Ed. 1 Type de document : e-book Auteurs : Bill SCHMARZO Editeur : John Wiley & Sons Année de publication : 2015 ISBN/ISSN/EAN : 9781119181118 Note générale : copyrighted Langues : Anglais (eng) Résumé : Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to ?think like a data scientist? as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to ?think like a data scientist? Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions. Nombre d'accès : Illimité En ligne : http://library.ez.neoma-bs.fr/login?url=https://www.scholarvox.com/book/88944303 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=578107 Big data / Bill SCHMARZO / Paris : FIRST (2014)
Titre : Big data : Tirer parti des données massives pour développer l'entreprise Titre original : Big data : Understanding how data powers big business Type de document : Livre Auteurs : Bill SCHMARZO ; Marie-Cécile BALAND, Traducteur Editeur : Paris : FIRST Année de publication : 2014 Importance : 214 p. Présentation : ill. ISBN/ISSN/EAN : 978-2-7540-5978-7 Prix : 20 EUR Langues : Français (fre) Langues originales : Anglais (eng) Mots-clés : Management
PLANIFICATION STRATEGIQUE ; ANALYSE DES DONNEES ; PRISE DE DECISION ; SCIENCE DE L'INFORMATION ; BANQUE DE DONNEESIndex. décimale : 212.68 ANALYSE DES DONNEES Résumé : Les médias sociaux et les données du Web en général permettent aux entreprises d'acquérir et d'analyser de gigantesques quantités de données et ainsi de mieux connaître leurs clients, leurs concurrents et leur marché tout entier. Les entreprises qui maîtrisent les Big Data peuvent améliorer leurs produits, enrichir l'expérience utilisateur de leurs clients, créer de la valeur ajoutée et amplifier ainsi le retour sur investissement. Note de contenu : Index Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=111006 Exemplaires (2)
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