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

Risk and control automation

The customer challenge is that a major financial institution requires its audit departments to track and evaluate controls that help them determine their level of risk exposure. Considering that any major bank has 250,000+ controls that are mapped to risks, this was not an easy task.

A good business control clearly states who, what, when, how, and where the control is to be used. Banks often suffer due to poorly defined controls. With Cloud Pak for Data, this customer was able to train an ML model to predict the Control quality level of each written control. They used the Watson Studio service to train the model and Watson Machine Learning to deploy and operationalize the model.

The following diagram illustrates the risk and control automation component:

Figure 8.3 – Risk and control automation component diagram

The featured Cloud Pak for Data services include Watson Knowledge Catalog, Watson Studio, and Watson...