Accenture Global Solutions Limited

Datadirect Networks, Inc.

Jean-Luc Chatelain

Teresa Sheausan Tung

Ishmeet Singh Grewal

Jurgen Albert Weichenberger

Rajkumar Joshi

Colin Anil Puri

David F Fellinger

Sonali Parthasarathy

Dave Fellinger

Neda Abolhassani

Louis Gerald Farfan

Fabio Bucci

Michael Thomas Giba

Amirreza Abdolrashidi

Neda Abolhassaini

The present disclosure relates to a system and a method for model control platform stack. The method includes, at an input layer of a model control platform stack, receiving input data. At a governance layer of the model control platform stack, the method includes maintaining a probe and model inventories; selecting a model, a monitoring location point, and a probe; and deploying, based on the selections of the probe and the model, a container to an orchestration layer of the model control platform stack. At the orchestration layer of the model control platform stack, the method includes accessing the container; using the container to deploy the probe and the model; scheduling an execution of the model to determine inference associated with the input data; during the execution, extracting probe data, using the probe, from the monitoring location point; and adjusting, based on the probe data and the inference, the model.

Model control platform

There has been exponential growth in the capture and retention of immense quantities of information in a globally distributed manner. A closed-loop unified metadata architecture includes a universal metadata repository and implements data quality and data lineage analyses. The architecture solves significant technical challenges to provide a meaningful, consistent and normalized view of the metadata that describes the information, as well as to determine data lineage and meaningful data quality metrics.

Closed-loop unified metadata architecture with universal metadata repository

A piping and instrumentation planning and maintenance system includes an input/output (I/O) interface for receiving a target piping and instrumentation diagram (PID) from a document source system; a processor in communication with the I/O interface; and non-transitory computer readable media in communication with the processor. The non-transitory computer readable media store instruction code, which when executed by the processor, causes the processor to classify entities and properties thereof within the target PID. The entities include one or more assets and interconnections therebetween specified in the PID. The processor compares the classified entities to a knowledge base that represents relationships between a plurality of assets and interconnections between the assets. The processor then determines, based on the comparison, whether the assets in the target PID are interconnected correctly. When the assets are not interconnected correctly, the processor generates a report to identify the assets that are not interconnected correctly. The report facilitates proactive replacement or rearrangement of assets in a facility associated with the target PID.

Piping and instrumentation planning and maintenance system

A method for certifying and deploying instruction code includes communicating, from a developer system, a first record to a decentralized database that indicates an availability of the instruction code. A second record is received by the developer system from the decentralized database and indicates a request to certify the instruction code, the second request having been communicated by a certification system. In response to receipt of the second record the developer system communicates a third record to the decentralized database that authorizes the certification system to retrieve the instruction code from the developer system. The developer system subsequently communicates the instruction code to the certification system. Communication of the instruction code facilitates execution of the instruction code on the certification system to thereby certify functionality of the instruction code.

System and method for certifying and deploying instruction code

Systems and methods for dynamic context based data protection and distribution are described herein. In the method data replication in a multi-zone storage system automatically changes based on historical storage trends and/or external information obtained from third party information sources, such as feeds, websites, news alerts, emergency alerts, weather alerts and databases. The methods include monitoring third party information sources and evaluating a correlation between event data from the third party information sources and key words that are user provided and/or system derived. A correlation between the event data and data storage history is evaluated. A storage policy is derived based on the results of the correlation evaluation(s). The derived storage policy and corresponding key words are stored in a database. Data is stored in storage arrays according to storage policies corresponding to the key words identified in the data.

Dynamic data protection and distribution responsive to external information sources

Systems and methods for storing data in a data storage system that allows dynamic context-based data protection and distribution are disclosed. The method includes receiving a storage request and evaluating whether a storage policy is specified in the storage request. When the storage request specifies a storage policy, the data is stored according to the specified policy. When the storage request does not specify a storage policy, meta data and/or the data item itself may be evaluated to identify a storage policy. When a storage policy has been identified, store the data is stored according to the identified policy. When a storage policy has not been specified and cannot be identified, an error is returned.

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Atlanta, GA, United States of America

Jean-Luc Chatelain