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

Challenges with data-centric delivery

Now that we have established that data is everywhere and that the best businesses in the world today are data-driven, let's look at what data-centric means. Enterprises are collecting data from more and increasingly diverse sources to analyze and drive their operations, with those sources perhaps numbering in the thousands or millions.

Here is an interesting fact: according to Forrester (https://go.forrester.com/blogs/hadoop-is-datas-darling-for-a-reason/), up to 73% of the data you create in your enterprise goes unused. That's a very expensive and ineffective approach.

Note to Remember

Data under management is not the same as data stored. Data under management is data that can be consumed by the enterprise through a governed and common access point. This is something that hasn't really existed until today, but it is quickly becoming the leading indicator of a company's market capitalization.

And we are just getting...