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Oracle Adaptive Intelligent Apps for Manufacturing User's Guide

Contents

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Overview of Oracle Adaptive Intelligent Apps for Manufacturing

Managing Security and Access Control

Managing User Roles and Access

Creating and Managing Users

Setting Up Your IDCS User Profile

Defining User Preferences

Acquiring Data

Overview of Acquiring Data

Overview of Data Ingestion Methods

Storing Data

Overview of Storing Data

Using the Database Cloud Service

Using the Storage Cloud Service

Preparing Data

Overview of Preparing Data

Understanding Time Series Feature Sets

Setting Up Time Series Feature Sets

Defining Key Performance Indicators

Creating Datasets for Analysis

Viewing Sensor Summary Results

Analyzing Data

Overview of Analyzing Data

Creating a Model

Evaluating a Model

Deploying a Model

Presenting Data

Presenting Data Analysis Results

Using Insights Analysis

Using Predictive Analysis

Using Genealogy and Trace

Viewing the Factory Command Center

Oracle Adaptive Intelligent Apps for Manufacturing Navigation

Model Features

Overview of Model Features

Model Features for Process Manufacturing

Model Features for Discrete Manufacturing

Overview of Algorithms

Feature Significance Model Algorithms

Insight Model Algorithms

Predictions Model Algorithms

REST Web Services

Overview of Oracle Adaptive Intelligent Apps for Manufacturing REST Web Services

Registering the AIAMFG Client Application in Oracle Identity Cloud Service

Accessing External REST Web Services Using Postman

Using Inbound REST Web Services

Using Outbound REST Web Services

Background Processes

Running Background Processes