Accenture Global Solutions Limited

Amod Dattatray Deshpande

Raghavan Tinniyam Iyer

Kiran Raghunath Sathvik

Bhaskar Ghosh

Ramkumar Kothandaraman

Puneet Kalra

Payal Panda

Bhavna Butani

Laxmikant Sudhakar Bhole

Kiran Vinayak Khambete

The invention provides a platform for evaluating and distributing packaged software capabilities. The packaged software capabilities described herein may be discrete pieces of software designed to perform a specific task and multiple packaged software capabilities may be combined to create larger functionality, such as an application. Packaged software capabilities may be analyzed using a variety of techniques to evaluate interoperability based on standard(s) to determine whether the packaged software capabilities support desired hardware, authentication, authorization, and the like. A catalog of packaged software capabilities satisfying the standard(s) may be created and the platform may provide a variety of techniques for searching the catalog based on search parameters to identify best fit packaged software capabilities meeting a user's needs.

Systems and methods supporting composable system architectures

Systems and methods for deep technology innovation management by cross-pollinating innovations dataset are disclosed. A system extracts context-based keyword from an innovation dataset by transforming the innovation dataset to a vector. Further, the system searches semantically relevant keywords for the extracted context-based keyword, by extracting an entity and a key phrase from the extracted a context-based keyword. Furthermore, system clusters the vector, by identifying frequent keywords in the semantically relevant keywords to obtain cluster centroids of the frequent keywords. Thereafter, the system determines weighted keywords in each cluster using the obtained cluster centroids, and classifies the weighted keywords to identify emerging innovation trends relevant to the innovation in the innovation dataset. The system forms cohorts of innovators to explore the reuse of innovations, assets, code, and build focused monetization model.

Deep technology innovation management by cross-pollinating innovations dataset

A method for improving an operational efficiency of a target system includes receiving, by an application lifecycle analyzer (ALA), performance information from the target system. The ALA determines whether the target system is experiencing or is about to experience or may experience a problem based on the received performance information, user activity details and historical trends. The ALA communicates a diagnostic event to a source control system when the ALA determines that a problem exists or is going to occur on the horizon with the target system. The ALA receives, from the source control system, development information that specifies one or more time periods associated with operations for diagnosing and resolving the problem experienced by the target system. In response to receiving the development information, the ALA communicates a build event to a build system, receives an application built by the build system; and deploys the application to the target analyzer.

Method and system for improving operational efficiency of a target system

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Pune, India

Amod Dattatray Deshpande