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

Overview of Cloud Pak for Data

In Chapter 1, The AI Ladder: IBM's Prescriptive Approach, you were introduced to IBM's prescriptive methodology to AI adoption, the AI ladder, and how enterprises can embrace this framework through IBM's modern multi-cloud data and AI platform, Cloud Pak for Data. The concept of an integrated platform to manage data, analytics, and AI services is not new – there has always been a demand for an end-to-end offering spanning the different rungs of the AI ladder. Enterprises addressed this need through custom integrations by often tapping into global consulting organizations for resources and expertise.

With the advent of public cloud and service-oriented architectures, it is now becoming commonplace to procure pre-integrated software platforms. These platforms minimize the integration effort while still providing the flexibility to meet specific business requirements.

Cloud Pak for Data was launched on May 29, 2018, leveraging...