Accenture Global Solutions Limited

Trilok Rangan

Pramod Kumar Shrivastava

Vibhu Saujanya Sharma

Dhruv Bajpai

Trilokesh Satpathy

Chaitra Nagaraj

Samiksha Hariharan

Roopa Shivani Dhananjaya

Rahul Chaudhary

Neeraj Benjwal

Kanhaiya Prasad Rai

Reeken Jitendra Suchak

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for system contextualization. For example, a method can include obtaining information pertaining to (i) parts of a manufacturing plant and (ii) steps of a process executing on the manufacturing plant; generating one or more virtual representations associated with each of the parts and the steps of the process; receiving a query from a user, the query being in conformation with a format of a hierarchical template model; and generating a response to the query based on the one or more virtual representations of the manufacturing plant.

System contextualization of manufacturing plants

Implementations are directed to configuring a set of applications and one or more modules associated with each application, wherein the one or more modules of an application comprise functional components that are bundled into the application, wherein each application is associated with a site of an on-premise system where the application is to be deployed; creating a process flow that includes a plurality of nodes, each node corresponding to a process executed at the site; associating a collection of applications to each node included in the process flow, wherein the collection of applications are selected from the set of applications, wherein the set of applications are categorized based on a relevance score of each application; and deploying the process flow and the collection of applications associated with each node to corresponding on-premise edge devices of the on-premise system based on the site of each application.

Application composition and deployment

In some examples, immersive and artificial intelligence based retail may include ascertaining attributes associated with a user, identifying a device to display an augmented reality display, a virtual reality display, and/or a mixed reality display, and generating, based on the ascertained attributes and for display on the identified device, a virtual store including a plurality of clothing articles. A clothing article may be selected from the plurality of clothing articles, and based on the selection of the clothing article, a design, a color combination, a texture, and/or a print pattern may be generated based on the clothing article. Further, immersive and artificial intelligence based retail may include generating a display of a plurality of three-dimensional hologram images of the user wearing the clothing article, and determining personalized clothing articles for the user based on selection of a clothing article from the displayed plurality of three-dimensional hologram images.

Immersive and artificial intelligence based retail

A machine learning travel management system is operable to provide end-to-end travel solutions and bookings based on machine-learning-assisted choice and selection of travel destinations. Travel solutions may include travel destination choices, which in many instances is one of the most difficult decisions made by travelers. Additionally, the system may interact with active bands, which comprise wearable RFID devices. The wearable RFID devices may provide for identification and location determination to provide location-based services. Also, the system may include a mobile application that provides mapping of travel routes and waypoints, which can interact with location information determined based on the active bands.

Machine learning travel management system with wearable device integration

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Bengaluru, India

Trilok Rangan