Short Summary

You will learn how Watson Discovery on the IBM Cloud lets business analysts and developers rapidly build cognitive applications that unlock actionable insights.

Details

Course Code: W7068G

Brand: Cloud & Data Platform

Category: Cloud

Skill Level: Intermediate

Duration: 6.50H

Modality: WBT

Audience

Analysts, Developers, and others who need to monitor machine learning jobs

Prerequisites

• Basic knowledge of cloud platforms, for example IBM Cloud
• Basic understanding of enterprise search and natural language

Overview

In this 6 hour web-based training (WBT), you will learn how Watson Discovery lets business analysts and developers rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data — including your own proprietary data, as well as public and third-party data.

Topic

Discovery overview: Architecture of Watson Discovery
• Describe Discovery architecture in a cloud environment
• Describe content creation within Discovery
• Describe Discovery data collection runtime flows
• Describe Discovery user runtime flows

Discovery overview: Administering security in Watson Discovery
• List types of security used in Watson Discovery on Cloud
• Describe how Discovery service credentials are used
• Describe a common use case for securing private data within Discovery

Discovery overview: Creating a collection
• Instantiate Watson Discovery
• Connect to a Discovery instance
• Create a collection

Configuring a Discovery collection
• Configure enrichments for a paticular business case
• Use tooling and APIs to configure a Discovery collection
• Use Smart Document Understanding to identify fields from documents

Ingesting data into a Discovery collection
• Describe use cases for using APIs, tooling and data sources to ingest data
• Describe the steps for ingesting documents into Discovery
• Perform ingestion operations such as add, update and delete documents
• Describe ingestion limitations

Querying a Discovery collection
• Explain simple, combined and aggregate queries
• Explain search and structure parameters, operators and aggregation types for querying a collection
• Use the Discovery query language for constructing queries

Querying a Discovery collection: Relevancy training
• Explain the purpose of relevancy training
• Detail the process of using relevancy training for improving results

Querying a Discovery collection: Passage retrieval
• Explain the purpose of passage retrieval
• Describe passage retrieval settings and usage
• Use passage retrieval to return pointed results
 

Objectives

• Discovery overview: Architecture of Watson Discovery
• Discovery overview: Administering security in Watson Discovery
• Discovery overview: Creating a collection
• Configuring a Discovery collection
• Ingesting data into a Discovery collection
• Querying a Discovery collection
• Querying a Discovery collection: Relevancy training
• Querying a Discovery collection: Passage retrieval