International Business Machines Corporation

Nikolay Kadochnikov

Gregory J Boss

Peter P Bradford

Imren Johar

Leo Kluger

Tomomi Yoshioka

Daksh Sikri

Sampoorna Dasgupta

Aboozar Hadavand

Thevuthasan Senthuran

Embodiments for cognitively identifying a propensity for obtaining white space target entities by a processor. Similarities between one or more potential target entities and current entities may be compared according to structured data and unstructured data. A propensity to engage in a transaction agreement may be determined for the one or more potential target entities according to the similarities and historical transaction agreements.

Cognitively identifying a propensity for obtaining prospective entities

A cognitive system, method and computer program product for maximizing a productivity of software development by a software development team. The system and method implement cognitive processes for determining what certain organizational factors and their optimal values which correspond to high performing software development teams. Based on the determinations correlating organization factors with productivity increases, the system prescribes what Key Performance Indicators (KPIs) to improve (e.g., increase and decrease), and determine what are the target improvement values. Use of the systems and methods described herein enable development managers and executives to build maximum performance teams (or transform existing teams, boosting their productivity), by leveraging customized quantitative recommendation provided as output. The system and method overcomes inefficiency of existing measures by enabling global and automated ways of maximizing the development productivity by continuously providing customized and targeted performance improvement.

Providing customized and targeted performance improvement recommendations for software development teams

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Batavia, IL, United States of America

Nikolay Kadochnikov