Accenture Global Solutions Limited

William Richard Gatehouse

Teresa Sheausan Tung

Jan Andre Nicholls

Jaeyoung Christopher Kang

Tiffany Cecilia Dharma

Jürgen Albert Weichenberger

Zhijie Wang

Jurgen Albert Weichenberger

Rohit Banerji

Loizos Markides

Shereen Ashraf

Marius Meger

Giorgio Michele Scolozzi

Thanos Alifantis

Yassine Houari

A system provides feedback driven end-to-end state control of a data model. A data model may be used to model the behavior of a petrochemical refinery to predict future events. The system may be used to ensure proper operation of the data model. Contingency data models may be executed when a failure is detected. Further, when the system detects accuracy that is out of tolerance, the system may initiate retraining of the data model being currently used.

Feedback loop driven end-to-end state control of complex data-analytic systems

A model management tool is provided for performing analysis on data in a knowledge graph representation and enforcing data standardization to increase performance when reusing existing models to develop new artificial intelligence applications.

Knowledge engineering and reasoning on a knowledge graph

This disclosure relates to a reconfigurable simulative and predictive digital assistant/platform for simulation of a multi-stage processing facility. The digital assistant generates and assembles digital representations of the individual physical processing stages and components of the multi-stage processing facility in a reconfigurable manner according to a set of configuration commands generated using user inputs in a graphical user interface. At least one of the digital representations include a reusable predictive model that is trained when the digital representation is generated by the digital assistant. The digital assistant further performs simulation of the multi-state processing facility 'as is' or in alternative 'what-if' scenarios by simulating the digital representations according to a set of timing signals in the set of configuration commands.

Reconfigurable predictive and simulative digital platform for multi-stage processing facilities

A system provides feedback driven end-to-end state control of a data model. A data model may be used to model the behavior of a monitored system to predict future events. The system may be used to ensure proper operation of the data model. Contingency data models may be executed when a failure is detected. Further, when the system detects accuracy that is out of tolerance, the system may initiate retraining of the data model being currently used.

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West Sussex, United Kingdom

William Richard Gatehouse