International Business Machines Corporation

John McEvoy

Kathleen Bridget Murray

Jill Browne

Sean Callanan

Al A Hamid

Thomas J Dinger

Mark Carter

William O'Mahony

Mark McCarville

Mairéad O'Hanlon

Thomas Harty

Chris Lynam

Ava Hakim

Rouba Akiki

An approach is provided for improving a workflow by using cognitive computing. Inputs about a claim of a claimant are received. The inputs include a history of claims by the claimant, an expected cost of processing the claim, a length of time the claimant has had insurance coverage, governmental requirements associated with the claim, a fraud score associated with the claim, and a ranking and a clustering of previously processed claims. Based on the inputs and using a cognitive computing system, a set of digital workers is selected. The set of digital workers complete step(s) in a current context of a processing of the claim in a workflow. Responsive to completing the step(s), a total number of steps required in the workflow is reduced.

Dynamically customizing a workflow separate from domain logic

An approach is provided that detects transmission of sensitive data fields from a user device to an online site. The approach determines the data types of the sensitive data fields and gathers site information from the online site which are stored in a data store along with the current date. Subsequently, the user can manage the data by displaying site information on a display of the user device. Each record of site information pertains to one of many online sites including the selected online site. The user makes a data management request at the user device pertaining to the selected site information. The approach then responsively transmits a request to the selected online site with the request being based on the received data management request. One example of a request is a deletion request that requests that the online site remove the user's sensitive data from the online site.

Sensitive data management

Selecting at least an implementation for executing a query. In response to a query run request in respect of a given query, accessing query execution data comprising implementations and their respective performance records for executing the given query in a given context. The query execution data is assessed, and at least an implementation is selected on a basis of its respective performance record to execute the given query in at least a current context.

Selection of implementation for query execution

Embodiments of the present invention provide a method, system and computer program product for the table merging of correlated columns with row data reduction. In an embodiment of the invention, a method for table merging with row data reduction for merged columns can include selecting a first table of columns and a second table of columns for merger in a computer data processing system. A column of rows in the first table can be matched with a column of rows in the second table. Subsequently, it can be determined that the rows of the first table are the same in number as the rows of the second table and that the matched columns include identical data in the respective ones of the rows. Consequently, a merged table of an aggregation of the columns of the first table and the second table can be generated to exclude from the aggregation one of the matched columns that includes identical data in the respective ones of the rows as the other of the matched columns.

Table merging with row data reduction

Growing community of inventors

Trim, Ireland

John McEvoy