IEEE 2755.1-2019 pdf free download – IEEE Guide for Taxonomy for Intelligent Process Automation Product Features and Functionality.
2.1.2 Configuration, Build, Test
The Configuration, Build, and Test Feature Set includes capabilities to develop and test configured automations. This includes such things as object libraries, available commands, graphical configuration environment, exception handing protocols, requirements descriptions, configuration build documentation, debugging, management of test environments, access and security, credential, and user definition.
2.1.3 Orchestration
The Orchestration Feature Set describes the product’s capabilities that consume sequencing logic, static and conditional business rules, internal or extermal predictive and prescriptive analytics (ML) and gather curent state target systems information to properly coordinate all necessary tasks to complete a series of processes, and their associated transactions.
2.1.4 Management
The Management Feature Set describes the abilities to: 1) centrally control tasks I processes, provide access control to a variety of system resources such as tasks, devices and administrative duties, while ensuring availability of the platform; 2) manage central storage of tasks, system workload and performance, resource behavior, licensing and user behavior; and 3) enable visibility of execution platform resources and processes, manage schedules, alerts, and log all aspects of automation.
2.1.5 Execution
The Execution Feature Set describes the set of functions available in the product’s run-time environment that govern how a configured automation carries out its intended sequence of actions in the production software environment. This includes such things as: acessing target applications through a graphical user interface or application program interface, screen object recognition, consumption of pre-configured tasks and business logic, human attended process input, execution run-time logging, and exception handling and notification.
2.1.6 Intelligence
The Itelligence Feature Sct evaluates the platform’s ability to consume and apply leamning or prediction capabilities to aid in the orchestration of configured automations without being configured with each specific instruction or conditional business rule. This includes abilities to incorporate process-specific data and capabilities to automatically generate and select high performing machine learning (ML) models, inspect results, and make decisions.
NOTE- For these purposes, Itelligence is broadly defined as the use of ML data models for a wide variety of purposes ranging from Optical Character Recognition (OCR) to process mining to Natural Language Processing (NLP) to process orchestration to exception prediction and others. Products vary greatly in this area, with some providing integrated ML capabilities, some with structured interfaces to consume external sources of itelligence and some with both or neither.IEEE 2755.1 pdf download.