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)
1
Section 1: The Basics
4
Section 2: Product Capabilities
11
Section 3: Technical Details

Chapter 4: Organize – Creating a Trusted Analytics Foundation

Most enterprises are going through the digital transformation journey to better understand their customers and deliver products and services that suit their needs. This has led to a proliferation of applications/systems that aim to improve the customer experience. Consequently, a large, diverse dataset has been made available by these applications/systems.

This presents us with a unique opportunity to leverage data for better decision-making, but this also poses a challenge in finding the data when we need it. Furthermore, how do we decide what dataset would best fit our needs? Are we able to trust the quality of the data? These questions are becoming the norm, and enterprises are grappling to address them as they focus on tapping into their most valuable resource: data. The answer is the evolution of a new practice called DataOps.

Cloud Pak for Data's capabilities help with establishing a governance framework...