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

Data privacy and activity monitoring

Increasing news headlines about data breaches and/or theft of personal information and individual identities have brought the focus back on protecting data assets. As a consequence of this, we also now have several regulations being enacted around the world, such as California Consumer Privacy Act (CCPA), General Data Protection Regulation (GDPR), and more. Although the specifics of each of these regulations might vary, the central theme is that failing to protect data and ensuring data privacy could result in expensive consequences. In addition to these regulatory fines, companies also risk losing customer loyalty and eventually destroying the brand equity that has built over a long time.

Businesses rely on data to support daily business operations and also to innovate and serve their customers more effectively, so it is essential to ensure privacy and protect all data, regardless of where it resides. Here are some key things you must consider...