Accenture Global Solutions Limited

Ivan A Wong

Lan Guan

Christopher Yen-Chu Chan

Louise Noreen Barrere

Guanglei Xiong

Sukryool Kang

Anwitha Paruchuri

Jayashree Subrahmonia

Aiperi Iusupova

Danielle Moffat

Sundaravadivelan Ramamoorthy

Wenxian Zhang

Saurabh Mathur

Nivedita Samal

Soumya Singh

Jing Su Brewer

Implementations of the present disclosure include receiving a goal, providing a problem-specific knowledge graph that is responsive to at least a portion of the goal, determining a set of events from the problem-specific knowledge graph, processing data representative of events in the set of events through a first machine learning (ML) model to provide a set of event scores, each event score in the set of event scores being associated with a respective event in the set of events, determining a sub-set of events based on the set of event scores, for each event in the sub-set of events, determining at least one action by processing a sequence of actions through a second ML model, and outputting the sub-set of events and a set of actions for execution of at least one action in the set of actions.

Early pattern detection in data for improved enterprise operations

A digital content communication system for account management and predictive analytics may be provided. The system may include an analytics system that communicates with one or more servers and one or more data stores to provide digital content management in a network. The analytics system may include a data access interface to receive data associated with a customer, as well as a processor to: standardize the received data using a standardization technique; process the standardized data using a dark data processing technique; generate a customer fit score and a digital density score based on the dark data processing of the standardized data; match received data associated with a customer against at least one variable using at least one matching technique; create a lead analytical record (LAR); prioritize leads in the LAR using a predictive modeling technique; and establish optimized channel assignment based on at least one of the customer fit score, the digital intensity score, the LAR, or the matching and prioritization actions.

Digital content prioritization to accelerate hyper-targeting

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Edison, NJ, United States of America

Ivan A Wong