Accenture Global Solutions Limited

Robi Fazio

Christian Souche

Alexandre Naressi

Edouard Mathon

Victor Chevalier

An infection risk prediction system may receive a query associated with an infection risk assessment for a geographic location for an infectious disease and obtain associated infectious disease data. The system detects a plurality of objects at the geographical location and a plurality of material categories for the plurality of objects associated. The system determines a usage frequency indicator and spatial-temporal features for each object and creates a risk prediction model based on the lifespan of the virus on the plurality of material categories for each of the plurality of objects based on the viral disease data and the spatial-temporal features for each object. A risk assessment score for each object is determined and an associated heat map is provided to alert a user of potential virus exposures or to provide a routing application to generate a route that minimizes potential pathogen exposure.

Infection risk prediction

A system for visual and digital content optimization may identify a plurality of content creation attributes from multiple data sources and may classify a content record associated with a content creation requirement into a plurality of exhibits. The system may identify a plurality of rules from a rule record and map the plurality of exhibits with the plurality of rules and the plurality of content creation attributes to create a plurality of content models. Each of the plurality of content models may be evaluated for congruence with the plurality of rules and the content creation attributes. Based on the evaluation, an evaluation score for each of the plurality of content models may be determined. A content model having an evaluation score above a threshold evaluation score may be selected and a content creation action may be initiated accordingly.

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Le Cannet, France

Robi Fazio