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

Enhanced border security

The customer challenge was that a sophisticated customs department, managing how goods were imported and exported into the country, wanted to leverage AI models to identify risky goods entering the country, while also reducing the number of false positives in identifying these risky goods. The client was using a rules-based engine to identify risky goods. However, the vast majority were false positives, which resulted in needless inspections and slowed down the entire customs process.

With Cloud Pak for Data, this customer was able to build a unified platform to handle all of their data science needs – from discovery to deployment. They used platform connectivity to gain access to existing sources of data, the Watson Studio service to train ML/AI models, the Watson Machine Learning service to deploy and operationalize the models, and Watson OpenScale to monitor these models and understand the logic behind them.

The following diagram represents...