Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. In this course, you will learn the core features and functionality of Watson Explorer Analytical Components. This functionality is found in Watson Explorer Advanced Edition. The Advanced Edition also includes the Foundational Components functionality which is covered in a separate 4 day course (O3100). This course is designed to introduce the technical student to using the content analytics, annotator, and content mining functionality. This primary functionality is found in an Analytics collections crawling, parsing, indexing, annotating, and searching components. In this course we will look at the results of analytic collections thru the products Content Miner application. This course will also look at creating and deploying a custom annotator using Content Analytics Studio. This course offers hands-on labs giving students exposure to the various aspects of configuring analytics collections and creating custom annotators that can be used in solutions that will involve Watson Explorer Analytical Components functionality. If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. Terms and Conditions: Ingram Micro – https://www.ingrammicrotraining.com/Terms-of-use.aspx; IBM – http://www.ibm.com/training/terms

Version:

v11

Audience:

This is an intermediate course for System Administrators, Solution Architects/Designers, Software Architects/Engineers, and Software Developers who will deploy, manage and/or administer IBM Watson Explorer Advanced Edition (Analytical Components).

Objectives:

Detail:

Pre-Requisites:

Basic knowledge of Enterprise Content Management concepts Basic knowledge of the challenges in processing text Knowledge of accessing enterprise resources Knowledge of development using a programming/scripting language Knowledge of structured/unstructured data formats