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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

Data privacy and activity monitoring

Increasing news headlines about data breaches and/or theft of personal information and individual identities have brought the focus back on protecting data assets. As a consequence of this, we also now have several regulations being enacted around the world, such as California Consumer Privacy Act (CCPA), General Data Protection Regulation (GDPR), and more. Although the specifics of each of these regulations might vary, the central theme is that failing to protect data and ensuring data privacy could result in expensive consequences. In addition to these regulatory fines, companies also risk losing customer loyalty and eventually destroying the brand equity that has built over a long time.

Businesses rely on data to support daily business operations and also to innovate and serve their customers more effectively, so it is essential to ensure privacy and protect all data, regardless of where it resides. Here are some key things you must consider...

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