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IBM Cloud Pak for Data
By :
IBM Cloud Pak for Data
By:
Overview of this book
Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services.
You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects.
By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise.
Table of Contents (17 chapters)
Preface
Section 1: The Basics
Chapter 1: The AI Ladder – IBM's Prescriptive Approach
Chapter 2: Cloud Pak for Data: A Brief Introduction
Section 2: Product Capabilities
Chapter 3: Collect – Making Data Simple and Accessible
Chapter 4: Organize – Creating a Trusted Analytics Foundation
Chapter 5: Analyzing: Building, Deploying, and Scaling Models with Trust and Transparency
Chapter 6: Multi-Cloud Strategy and Cloud Satellite
Chapter 7: IBM and Partner Extension Services
Chapter 8: Customer Use Cases
Section 3: Technical Details
Chapter 9: Technical Overview, Management, and Administration
Chapter 10: Security and Compliance
Chapter 11: Storage
Chapter 12: Multi-Tenancy
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