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Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects - Softcover

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9781119693413: Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects
  • PublisherWiley
  • Publication date2020
  • ISBN 10 1119693411
  • ISBN 13 9781119693413
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages304
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Fishman, Neal; Stryker, Cole (CON); Booch, Grady (FRW)
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Paperback or Softback. Condition: New. Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects 1.15. Book. Seller Inventory # BBS-9781119693413

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Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! Seller Inventory # OTF-S-9781119693413

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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_387609496

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Paperback. Condition: new. Paperback. Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise 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. Data 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. Smarter Data Science 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. When an organization manages its data effectively, its data science program becomes a fully scalable function thats 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. By 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: Improving time-to-value with infused AI models for common use casesOptimizing knowledge work and business processesUtilizing AI-based business intelligence and data visualizationEstablishing a data topology to support general or highly specialized needsSuccessfully completing AI projects in a predictable mannerCoordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781119693413

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