{"product_id":"smarter-data-science-succeeding-with-enterprise-grade-data-and-ai-projects-paperback","title":"Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects - Paperback","description":"\u003cp\u003eby \u003cb\u003eNeal Fishman\u003c\/b\u003e (Author), \u003cb\u003eCole Stryker\u003c\/b\u003e (Author), \u003cb\u003eGrady Booch\u003c\/b\u003e (Foreword by)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eOrganizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEnterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. \u003c\/p\u003e \u003cp\u003eData science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive.\u003ci\u003e Smarter Data Science\u003c\/i\u003e helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments.\u003c\/p\u003e \u003cp\u003eWhen an organization manages its data effectively, its data science program becomes a fully scalable function that's both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise.\u003c\/p\u003e \u003cp\u003eBy following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eImproving time-to-value with infused AI models for common use cases\u003c\/li\u003e \u003cli\u003eOptimizing knowledge work and business processes\u003c\/li\u003e \u003cli\u003eUtilizing AI-based business intelligence and data visualization\u003c\/li\u003e \u003cli\u003eEstablishing a data topology to support general or highly specialized needs\u003c\/li\u003e \u003cli\u003eSuccessfully completing AI projects in a predictable manner\u003c\/li\u003e \u003cli\u003eCoordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWhen they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePRAISE FOR SMARTER DATA SCIENCE\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\"This work provides benefit to a variety of roles, including architects, developers, product owners, and business executives. For organizations exploring AI, this book is the cornerstone to becoming successful.\"\u003cbr\u003e \u003cb\u003e--Harry Xuegang Huang Ph.D., External Consultant, A.P. Moller - Maersk\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\"Presents a holistic model that emphasizes how critical data and data management are in implementing successful value-driven data analytics and AI solutions. The book presents an elegant and novel approach to data management.\"\u003cbr\u003e \u003cb\u003e--Ali Farahani, Ph.D., Former Chief Data Officer, County of Los Angeles; Adjunct Associate Professor, USC\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\"The authors seek and speak the truth, and penetrate into the core of the challenge most organizations face in finding value in their data. Our industry needs to move away from trying to connect the winning dots by 'magical' technologies and overly simplified approaches. This book provides the necessary guidance.\"\u003cbr\u003e \u003cb\u003e--Jan Gravesen, M.Sc., IBM Distinguished Engineer, Director and Chief Technology Officer, IBM\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eBUILD A ROBUST INFORMATION ARCHITECTURE THAT SCALES AND DELIVERS LONG-TERM VALUE\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eLarge organizations are racing to implement advanced data science. All too often, our AI endeavors turn out to be dead-end science projects that never deliver sustainable business value. What are we missing? In \u003ci\u003eSmarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects, \u003c\/i\u003e you'll discover the pillars of information architecture that you must understand and implement. \u003c\/p\u003e\u003cp\u003eData analytics and AI only add value when they can predictably and consistently deliver business insights and scale across the organization. \u003ci\u003eSmarter Data Science\u003c\/i\u003e outlines an effective and practical way for organizing, managing, and evaluating data, so you can establish an information architecture to better drive AI and data science. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eYou'll learn how to: \u003c\/i\u003e \u003c\/p\u003e\u003cul\u003e \u003cli\u003eSimplify data management, making data available when and where it is needed\u003c\/li\u003e \u003cli\u003eImprove time to value for operationalizing AI use cases\u003c\/li\u003e \u003cli\u003eMake AI and data insights accessible across the enterprise\u003c\/li\u003e \u003cli\u003eScale complex AI scenarios dynamically and in real time\u003c\/li\u003e \u003cli\u003eDevelop an information architecture that brings predictable, repeatable value\u003c\/li\u003e \u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNEAL FISHMAN\u003c\/b\u003e is a Distinguished Engineer and CTO of Data-Based Pathology at IBM. He is an IBM-certified Senior IT Architect and Open Group Distinguished Chief Architect. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eCOLE STRYKER\u003c\/b\u003e is a journalist based in Los Angeles. He is the author of \u003ci\u003eEpic Win for Anonymous\u003c\/i\u003e and \u003ci\u003eHacking the Future\u003c\/i\u003e.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 304\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9.2 x 7.4 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 03, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51759990210848,"sku":"9781119693413","price":50.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/0f5785e2c4dde3a9928754a9b87bf174.webp?v=1780168212","url":"https:\/\/ebocreations.com\/products\/smarter-data-science-succeeding-with-enterprise-grade-data-and-ai-projects-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}