LEADER 00000cam a2200469 i 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    190501s2019    xx a    ob    000 0 eng d 
029 1  AU@|b000068987260 
035    (OCoLC)1099564733 
037    CL0501000045|bSafari Books Online 
040    UMI|beng|erda|epn|cUMI|dOCLCF|dC6I|dCZL|dOCLCQ|dOCLCO|dKSU
       |dOCLCQ|dOCLCO 
049    INap 
099    eBook O'Reilly for Public Libraries 
100 1  Bozhinov, Ivaylo B.,|eauthor. 
245 10 AI and big data on IBM Power Systems servers /|cIvaylo B. 
       Bozhinov [and 6 others].|h[O'Reilly electronic resource] 
250    First edition (March 2019) 
264  1 [Place of publication not identified] :|bIBM Corporation,
       |c2019. 
300    1 online resource (1 volume) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
490 1  IBM redbooks 
500    "SG24-8435-00"--Back cover 
504    Includes bibliographical references. 
520    Abstract As big data becomes more ubiquitous, businesses 
       are wondering how they can best leverage it to gain 
       insight into their most important business questions. 
       Using machine learning (ML) and deep learning (DL) in big 
       data environments can identify historical patterns and 
       build artificial intelligence (AI) models that can help 
       businesses to improve customer experience, add services 
       and offerings, identify new revenue streams or lines of 
       business (LOBs), and optimize business or manufacturing 
       operations. The power of AI for predictive analytics is 
       being harnessed across all industries, so it is important 
       that businesses familiarize themselves with all of the 
       tools and techniques that are available for integration 
       with their data lake environments. In this IBM® Redbooks® 
       publication, we cover the best practices for deploying and
       integrating some of the best AI solutions on the market, 
       including: IBM Watson Machine Learning Accelerator (see 
       note for product naming) IBM Watson Studio Local IBM Power
       Systems"!IBM Spectrum"!Scale IBM Data Science Experience 
       (IBM DSX) IBM Elastic Storage"!Server Hortonworks Data 
       Platform (HDP) Hortonworks DataFlow (HDF) H2O Driverless 
       AI We map out all the integrations that are possible with 
       our different AI solutions and how they can integrate with
       your existing or new data lake. We also walk you through 
       some of our client use cases and show you how some of the 
       industry leaders are using Hortonworks, IBM PowerAI, and 
       IBM Watson Studio Local to drive decision making. We also 
       advise you on your deployment options, when to use a GPU, 
       and why you should use the IBM Elastic Storage Server (IBM
       ESS) to improve storage management. Lastly, we describe 
       how to integrate IBM Watson Machine Learning Accelerator 
       and Hortonworks with or without IBM Watson Studio Local, 
       how to access real-time data, and security. Note: IBM 
       Watson Machine Learning Accelerator is the new product 
       name for IBM PowerAI Enterprise. Note: Hortonworks merged 
       with Cloudera in January 2019. The new company is called 
       Cloudera. References to Hortonworks as a business entity 
       in this publication are now referring to the merged 
       company. Product names beginning with Hortonworks continue
       to be marketed and sold under their original names 
588 0  Online resource; title from cover (viewed April 29, 2019).
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
630 00 IBM Power systems. 
630 07 IBM Power systems|2fast 
650  0 Artificial intelligence|xIndustrial applications. 
650  0 Big data|xIndustrial applications. 
650  6 Intelligence artificielle|xApplications industrielles. 
650  6 Données volumineuses|xApplications industrielles. 
650  7 Artificial intelligence|xIndustrial applications|2fast 
710 2  International Business Machines Corporation,|epublisher. 
830  0 IBM redbooks. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9780738457512/?ar
       |zAvailalbe on O'Reilly for Public Libraries 
994    92|bJFN