Book Image

IBM Cloud Pak for Data

By : Hemanth Manda, Sriram Srinivasan, Deepak Rangarao
3 (1)
Book Image

IBM Cloud Pak for Data

3 (1)
By: Hemanth Manda, Sriram Srinivasan, Deepak Rangarao

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)
Section 1: The Basics
Section 2: Product Capabilities
Section 3: Technical Details

Chapter 8: Customer Use Cases

Cloud Pak for Data is a data and AI platform with a wide variety of services that span the different steps of the artificial intelligence (AI) ladder; that is, Collect, Organize, Analyze, and Infuse. These include services from IBM, open source, and third-party vendors that allow customers the flexibility to pick services based on their corporate preference and use case requirements.

This vibrant ecosystem and the lego block approach to dynamically using different combinations of services in the platform opens up a world of possibilities. The platform also benefits from the cloud-native architecture, wherein individual services can be scaled up or down dynamically to allow for consumption across different use cases.

Every organization has different personas that interact with data and make use of it for a variety of reasons – this often requires manipulating data and combining data across different systems to create new desired datasets...