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About IBM Cloud Pak for Data: An enterprise platform to operationalize data, analytics, and AI
Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management 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. This book is for data scientists, data stewards, developers, and data-focused business executives interested in learning about IBM’s Cloud Pak for Data. Knowledge of technical concepts related to data science and familiarity with data analytics and AI initiatives at various levels of maturity are required to make the most of this book.
Detailed Information
| Author: | Hemanth Manda |
|---|---|
| Publication Year: | 2021 |
| ISBN: | 9781800562127 |
| Pages: | 337 |
| Language: | English |
| File Size: | 20 |
| Format: | |
| Price: | FREE |
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