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 9: Technical Overview, Management, and Administration

Cloud Pak for Data is a data and AI platform that enables enterprises to tap into their data and accelerate the adoption of AI to drive better business outcomes. This platform helps them modernize their data access mechanisms, organize data for trusted analytics, develop machine learning models, and operationalize AI into their day-to-day business processes. This chapter provides an insight into the foundational aspects of Cloud Pak for Data, the technology stack that powers it, and how services integrate to deliver the key capabilities needed to be successful with AI in the enterprise.

The platform serves several user personas, enabling them to collaborate easily with each other, and helps break down silos within the enterprise. It does this by abstracting the infrastructural elements and by promoting the integration of services to provide a seamless experience for all end users. Enterprises do not start off by using...