International Business Machines Corporation

Raphael Ezry

Munish Goyal

Parul Arora

Uri Klein

Jonathan A DeBusk

Chirdeep Gupta

Jingzi Tan

Balasubramanian E A

Nithya Ramkumar

Krishnasuri Narayanam

Ramasuri Narayanam

Sherif Ahmed Goma

Anita Karlsson-Dion

Sameer Singhdeo

Ambhighainath Ganesan

Kevin Chang

Chelsea Grindle

Shobhit Varshney

Dakota Fried

A method includes: detecting, by a computing device, a new entry in one of plural databases; comparing, by the computing device, the new entry to watch entries defined in a watch database; determining, by the computing device, whether the new entry matches a watch entry in the watch database; creating, by the computing device, a new watch in the watch database when the new entry does not match any watch in the watch database; and updating, by the computing device, a watch in the watch database when the new entry matches the watch in the watch database.

Self-healing accounting system

A computer-implemented method includes: receiving, by a computing device, a plurality of journal entries from a plurality of transactional systems; determining, by the computing device, association scores for a plurality of pairs of journal entries selected from the plurality of journal entries; generating, by the computing device, a reconciliation graph including a plurality of nodes representing the plurality of journal entries and a plurality of edges based on the determined association scores; recommending, by the computing device, actions to apply to at least one journal entry of the plurality of journal entries to minimize a number of nodes not connected by the plurality of edges in the reconciliation graph; receiving, by the computing device, feedback regarding the recommended actions to apply to the at least one journal entry; and updating, by the computing device, the reconciliation graph based on the feedback.

Multi-way optimal reconciliation and recommendation

A collision avoidance and road safety system is applied to a road network comprised of a plurality of road segments for a location to produce real time or dynamic forecasting of collision risk and root causes of the potential collision.

Integrated collision avoidance and road safety management system

Methods, computer program products, and systems are presented. The methods include, for instance: obtaining a product video representing a product and review feeds authored by a user. Product features are extracted from the product video and user specific features are extracted from the review feeds. User specific add-on content is generated based on the user specific features and user data. The user specific add-on contents are overlaid onto the product video when the product feature corresponding to a user specific feature of the user specific add-on content.

Media enhancement with customized add-on content

A subsequence of machines used and a cost of providing a subservice in response to a service request with a key is determined. A second cost of using the subsequence of machines to provide the subservice in response to a different service request with a different key is determined. A distance between the cost and the second cost is computed. A value pair is formed using the distance and a number of logged occurrences of the subsequence with the key. The processing of the service request for the key is identified as a suspect for costing an improper computing cost of the service, when an aggregate distance in the value pair fails to exceed a threshold distance.

Automated abnormality detection in service networks

Methods, computer program products, and systems are presented. The methods include, for instance: identifying a target customer population of a series product and dividing into segments by customer behaviors relevant to adoption of and compliance to a series of purchases of the series product. A marketing campaign strategy for each segment is devised and executed, and adoption rate and compliance rate is predicted by analytical modeling and later evaluated by actual sales data. Parameters used in predicting the adoption rate and the compliance rate are adjusted for accuracy.

Managing adoption and compliance of series purchases

The methods include, for instance: building model connections between models in a knowledgebase, which stores case data as model networks. An exploration probability stored in the knowledgebase indicates a likelihood of new connections based on a case data input to be employed for an analytical model of the case data input, which includes numerous stages and multiple model choices in each stage. Based on the new connections and model networks of the knowledgebase, paths are created and performance of respective paths/connections are evaluated. A predefined number of top performing paths are selected and the models and attributes that do not appear in the top performing paths are eliminated from the knowledgebase. Probabilities of model networks and a future case data input are updated accordingly and a best-fit model for the case data input is presented to a user.

Adaptive analytical modeling tool

From a log of a machine, an entry is selected relating to providing a subservice in processing a service request from a requestor associated with a key. The log entry includes a subsequence of machines used and a cost of providing the subservice. A set of entries is selected from the log, an entry including the subsequence and a second cost of providing the subservice but in processing a different service request from a different requestor associated with a different key. A distance is computed between the cost and the second cost. A number of occurrences of the subsequence with the key is determined. Using the number and the distance for the subsequence, a value pair is computed. Responsive to an aggregate number in the value pair not exceeding a threshold count. The processing of the service request is output as a suspect for using an improper sequence of machines.

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New York, NY, United States of America

Raphael Ezry