Based on deep technology experience and media publications, IBM Watson Analytics may be well positioned to replace the data scientist by providing the ability to perform sophisticated data discovery and analysis without all the complexity that usually goes along with it. Additionally, IBM is investing more and more each day into cognitive computing—Watson. Now they are even partnering leading technology universities to launch cognitive computing courses aimed at making this technology mainstream. This is the time to learn IBM Watson to compete in the world.
Chapter 1, A Quick Start, provides step-by-step instructions for accessing IBM Watson Analytics for the very first time. This chapter explains the different versions of IBM Watson that are currently available and important concepts and terminologies. It also makes recommendations for performing typical configurations or adjustments for use.
Chapter 2, Identifying Use Cases, uses realistic examples to explain how identifying use cases will help you better leverage IBM Watson Analytics to gain powerful insights from your data.
Chapter 3, Designing Solutions with Watson Analytics, covers the process of taking a sound approach to leveraging IBM Watson for content analytics, what to think about before you start, how to develop an end-to-end solution design, and how to set expectations for the resulting analysis.
Chapter 4, Understanding Content Analysis, discusses the practice of content analysis and how IBM Watson Analytics can be used as a tool to help analyze big data.
Chapter 5, Watson Analytics Predict and Assemble, leverages use cases to explore IBM Watson Analytics Predict and Assemble.
Chapter 6, Customizing and Extending, explores the concept of extending the power of Watson Analytics through the use of external tools such as IBM SPSS.
Chapter 7, Taking It to the Enterprise, prepares you to think from an enterprise perspective when using IBM Watson Analytics.
Chapter 8, Adding Value with Integration, discusses the importance of integrating Watson with various data sources, including IBM Cognos Business Intelligence (BI) reporting, and provides the steps required to perform such integrations.