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

Understanding AI

AI refers to a human-like intelligence exhibited by a computer, robot, or other machines. It is the ability of a machine to mimic the capabilities of a human mind, learning from examples and experience, recognizing objects, understanding and responding to language, and using all these data points to make better decisions and help solve real-world problems.

AI is increasingly becoming part of our everyday lives, and this trend is only going to grow over the next few years. We can see AI in action, completing our words as we type them, providing driving directions to the nearest restaurant, recommending what we can eat, and even completing household chores such as vacuuming the house, and so on. As popular as it is, there is often some confusion in its terminology, and there is a tendency to use AI, ML, and deep learning (DL) interchangeably.

Let's start by demystifying these three concepts, as follows:

  • AI—AI systems can be thought of as expert...