IBM Cloud Pak for Data

IBM's Cloud Pak for Data is a data and AI platform designed to be built natively for the cloud and deployed on whichever cloud an organization uses. It combines IBM's strategic data and AI products with open-source and third-party services in a single offering. The book starts with the foundations: core ideas in modern data management and artificial intelligence, real-world use cases, and the AI Ladder, the guiding principle behind the platform's approach.

From there, the book shows how Cloud Pak for Data puts the AI Ladder into practice, moving through the steps of collecting and organizing data, analyzing it, and infusing trustworthy AI across a business. Later chapters cover the platform's main capabilities and its extension services, including how those services are packaged and priced. Throughout, worked examples illustrate the material.

Readers gain a detailed view of the platform, from its feature set and technical architecture to its partner ecosystem and go-to-market considerations. By the end, they should be able to apply IBM's recommended practices, use the platform's tools to build a dependable data foundation, and speed up AI adoption within their own enterprise.

The book is aimed at data scientists, data stewards, developers, and data-focused business executives who want to learn about IBM's Cloud Pak for Data. Readers should already understand technical data science concepts and have some familiarity with data analytics and AI projects at different stages of maturity.