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 5: Analyzing: Building, Deploying, and Scaling Models with Trust and Transparency

There is a lot of data collected across an enterprise, and this presents a unique opportunity to harvest insights that can be used to improve efficiency and serve our customers better. IBM Cloud Pak for Data has an extensive collection of services from International Business Machines Corporation (IBM), as well as third-party services that help with the various aspects of analyzing data.

The platform caters to different personas including business analysts, data engineers, data scientists, data stewards, and so on, enabling cross-persona collaboration. All of these personas are interested in different aspects of data and they have varied skillsets when it comes to analyzing the data, starting from something as simple as the need to execute canned reports on a regular basis to ad hoc reporting and dashboarding and more advanced analytics such as statistical analysis, machine learning (ML), or...