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rect 704 116 863 199 [[#Position_2_on_page|Go to Command and Control section]]
rect 1584 252 2067 420 [[#Position_2_on_page|Go to Command and Control section]]
rect 706 219 865 306[[#Position_3_on_page|Go to Orchestration section]]
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rect 708 313 863 407  [[#Position_4_on_page|Go to Alerts and Notification section]]
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rect 717 416 858 507[[#Position_5_on_page|Go to Reporting section]]
rect 1595 850 2057 1023 [[#Position_5_on_page|Go to Reporting section]]
rect 700 519 865 601 [[#Position_6_on_page|Go to Data Analysis and Analytics section]]
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rect 923 20 1093 107 [[#Position_7_on_page|Go to Prediction section]]
rect 923 121 1091 201 [[#Position_8_on_page|Go to Machine Learning (ML) section]]
rect 928 219 1095 306 [[#Position_9_on_page|Go to Artificial Intelligence section]]
rect 930 320 1091 405  [[#Position_10_on_page|Go to Federated Learning section]]
rect 930 416 1086 505 [[#Position_11_on_page|Go to Simulation section]]
rect 928 516 1091 603  [[#Position_12_on_page|Go to Mathematical Analytics section]]
rect 1147 212 1321 302[[#Position_13_on_page|Go to Prescriptive Recommendations section]]
rect 1149 315 1325 402[[#Position_14_on_page|Go to Business Rules section]]
rect 1142 420 1314 505 [[#Position_15_on_page|Go to Distributed Ledger and Smart Contracts section]]
rect 1151 514 1312 599 [[#Position_16_on_page|Go to Composition section]]


rect 2109 52 2565 210 [[#Position_7_on_page|Go to Prediction section]]
rect 2104 247 2576 420 [[#Position_8_on_page|Go to Machine Learning (ML) section]]
rect 2104 451 2576 624  [[#Position_9_on_page|Go to Artificial Intelligence section]]


rect 2114 640 2576 818 [[#Position_10_on_page|Go to Federated Learning section]]
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rect 460 13 659 595 [[Integration|Go to Integration]]
rect 2104 1039 2555 1212 [[#Position_12_on_page|Go to Mathematical Analytics section]]
rect 16 7 425 809 [[Data Services|Go to Data Services]]
rect 2618 446 3090 619[[#Position_13_on_page|Go to Prescriptive Recommendations section]]
rect 460 617 883 818 [[Management|Go to Management]]
rect 2618 640 3085 824[[#Position_14_on_page|Go to Business Rules section]]
rect 907 617 1562 820 [[Trustworthiness|Go to Trustworthiness]]
rect 2613 850 3080 1013 [[#Position_15_on_page|Go to Distributed Ledger and Smart Contracts section]]
rect 1352 16 1781 599 [[UX|Go to UX]]
rect 2618 1060 3085 1207[[#Position_16_on_page|Go to Composition section]]
 
 
rect 63 58 1039 1595 [[Data Services|Go to Data Services]]
rect 1102 42 1537 1201[[Integration|Go to Integration]]
rect 1070 1259 2067 1611 [[Management|Go to Management]]
rect 2093 1243 3599 1611  [[Trustworthiness|Go to Trustworthiness]]
rect 3137 47 4097 1222 [[UX|Go to UX]]


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Revision as of 14:22, 28 March 2022

Go to Edge AI and Intelligence sectionGo to Command and Control sectionGo to Orchestration sectionGo to Alerts and Notification sectionGo to Reporting sectionGo to Data Analysis and Analytics sectionGo to Prediction sectionGo to Machine Learning (ML) sectionGo to Artificial Intelligence sectionGo to Federated Learning sectionGo to Simulation sectionGo to Mathematical Analytics sectionGo to Prescriptive Recommendations sectionGo to Business Rules sectionGo to Distributed Ledger and Smart Contracts sectionGo to Composition sectionGo to Data ServicesGo to IntegrationGo to ManagementGo to TrustworthinessGo to UXDT CPT Intelligence.png


Provides an environment for the development and deployment of industrial Digital Twin solution. It provides the services for data integration, basic and advanced analytics, AI, orchestration, and other Digital Twin process capabilities.

Edge AI and Intelligence

Ability

The ability to make decisions at the device level based on real -time data, distribution, and federation of analytics at the edge instead of transporting the data to the cloud to perform analytics.

Purpose

The purpose is to make real-time decisions near field.

Command and Control

Ability

The ability to execute upon work instructions without human interaction. Control would be limited to IoT devices and non-plant controls.

Purpose

The purpose is to support future smart IoT devices with centralized management.

Orchestration

Ability

The ability to coordinate the automated configuration, management, and coordination of systems, applications, digital twins.

Purpose

The purpose it to easily manage complex tasks and workflows between different systems, applications, digital twins, or systems of digital twins.

Alerts and Notification

Ability

The ability to display and manage alerts, messages, message queues, triggers, and notifications.

Purpose

The purpose is to trigger actions which may require intervention to the ongoing processes.

Reporting

Ability

The ability to generate configurable and customizable reports to get insights into the data.

Purpose

The purpose is to get insights into the data which can be useful for various stakeholders in the system as well as for regulatory compliance.

Data Analysis and Analytics

Ability

The study and presentation of data to create information and knowledge. The ability to analyse data through charts, tables, dashboards, fetch data between dates, and filter data based on various criteria. The analysis of data, typically large sets of business data, using mathematics, statistics, and computer software with an objective to draw conclusions.

Purpose

The purpose is to understand past trends from historical data.

Prediction

Ability

The ability to estimate that a specified event will happen in the future or will be a consequence of other events.

Purpose

The purpose is to use historical data, engineering, and analytical models to predict future events before they occur.

Machine Learning (ML)

Ability

The ability of computer algorithms that improve a digital twin automatically through experience. The algorithms build a mathematical model based on "training data", in order to make predictions or decisions without being explicitly programmed to do so. It is seen as a subset of artificial intelligence.

Purpose

The purpose is to enable the digital twin and digital twin systems to learn from data, identify patterns, and make decisions with minimal human intervention.

Artificial Intelligence

Ability

The ability for a system to perform actions and take decisions like humans. AI would include machine learning, natural language processing, knowledge modelling and representation, reasoning, inferencing etc. It is based on the capacity of a computer to perform operations analogous to learning and decision making in humans, as by an expert system, a program for CAD or CAM, or a program for the perception and recognition of shapes in computer vision systems.

Purpose

The purpose is to enable a digital twin or a digital twin system to take actions and decisions similar to humans.

Federated Learning

Ability

The ability to train an algorithm across multiple decentralized digital twin edge devices or servers holding local data samples, without exchanging their data samples.

Purpose

The purpose is to enable multiple actors to build a common, robust machine learning model without sharing data, thus addressing critical issues such as data privacy, data security, data access rights and access to heterogeneous data.

Simulation

Ability

The ability to create approximate imitation of a process or a system using past historical information, physical models, video, audio, and animation, what-if-scenarios.

Purpose

The purpose is to imitate the behavior of a physical system in the digital twin before applying to the physical world. Training operations and maintenance teams on simulated digital twins is another purpose of simulation.

Mathematical Analytics (Engineering Calculations)

Ability

The ability to perform mathematical and statistical calculations to enable physics-based and other mathematical models.

Purpose

The purpose is to enable the use of physics models and mathematics calculations in Digital twin analytics.

Prescriptive Recommendations

Ability

The ability to create prescriptive recommendations based on business rules and AI logic to suggest the best next actions to take when a pre-determined event happens.

Purpose

The purpose is to enable Digital Twins to provide guidance based on a combination of analytics, business rules and workflow to create actions and deliver business outcomes.

Business Rules

Ability

The ability to create, manage and use business rules that influence the digital twin behavior throughout its lifecycle.

Purpose

The purpose is to enable Digital Twins to provide and manage business rules that influence a Digital Twin’s behaviour.

Distributed Ledger and Smart Contracts

Ability

The ability to use distributed ledgers for digital twin applications that require immutable data for digital twin instances, transactions and automation (smart contracts).

Purpose

The purpose is to enable Digital twins to interact in an automated, trustworthy, and responsible manner with systems that support smart contracts and provide a full, immutable transaction record.

Composition

Ability

The ability to use a modular digital twin application development approach to rapidly compose and recompose digital twin services that deliver use case specific outcomes.

Purpose

The purpose is to compose or recompose Digital twins from a set of packaged, reusable business capabilities (PBCs) to reduce time to value, duplication and support citizen development of Digital twins.