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IBM Cloud Pak for Data

You're reading from   IBM Cloud Pak for Data An enterprise platform to operationalize data, analytics, and AI

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781800562127
Length 336 pages
Edition 1st Edition
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Authors (3):
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Hemanth Manda Hemanth Manda
Author Profile Icon Hemanth Manda
Hemanth Manda
Sriram Srinivasan Sriram Srinivasan
Author Profile Icon Sriram Srinivasan
Sriram Srinivasan
Deepak Rangarao Deepak Rangarao
Author Profile Icon Deepak Rangarao
Deepak Rangarao
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: The AI Ladder – IBM's Prescriptive Approach FREE CHAPTER 3. Chapter 2: Cloud Pak for Data: A Brief Introduction 4. Section 2: Product Capabilities
5. Chapter 3: Collect – Making Data Simple and Accessible 6. Chapter 4: Organize – Creating a Trusted Analytics Foundation 7. Chapter 5: Analyzing: Building, Deploying, and Scaling Models with Trust and Transparency 8. Chapter 6: Multi-Cloud Strategy and Cloud Satellite 9. Chapter 7: IBM and Partner Extension Services 10. Chapter 8: Customer Use Cases 11. Section 3: Technical Details
12. Chapter 9: Technical Overview, Management, and Administration 13. Chapter 10: Security and Compliance 14. Chapter 11: Storage 15. Chapter 12: Multi-Tenancy 16. Other Books You May Enjoy

Chapter 5: Analyzing: Building, Deploying, and Scaling Models with Trust and Transparency

There is a lot of data collected across an enterprise, and this presents a unique opportunity to harvest insights that can be used to improve efficiency and serve our customers better. IBM Cloud Pak for Data has an extensive collection of services from International Business Machines Corporation (IBM), as well as third-party services that help with the various aspects of analyzing data.

The platform caters to different personas including business analysts, data engineers, data scientists, data stewards, and so on, enabling cross-persona collaboration. All of these personas are interested in different aspects of data and they have varied skillsets when it comes to analyzing the data, starting from something as simple as the need to execute canned reports on a regular basis to ad hoc reporting and dashboarding and more advanced analytics such as statistical analysis, machine learning (ML), or...

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