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

Voice-enabled chatbots

The customer challenge included a public petroleum and natural gas company that was struggling to locate consistent and complete information on the services provided by the Information Technology (IT) and Engineering departments. Their existing system was a text-based transactional chatbot lacking governance and adoption due to the quality of responses.

With Cloud Pak for Data, they were able to restructure the text-based transactional chatbot with a voice-enabled, avatar-styled interface for improved user experience and, more importantly, better responses to user queries. This, combined with structured analytics, helped to drastically improve customer satisfaction. They used the SPSS modeler and Jupyter notebooks from the Watson Studio service for structured analytics, Watson Discovery for textual search, the Watson API service for voice transcription, and Watson Assistant for an avatar-styled chatbot experience.

The following diagram represents the AI...