Abstract: Data integration process/tool refinement and correction of rejected data. A method acquires rejected data from a data integration tool, the rejected data rejected by the data integration tool during a data integration process. The method applies machine learning to a cognitive system, the machine learning being based at least in part on at least some of the acquired rejected data, and the machine learning including training the cognitive system to identify corrections to data elements to facilitate data element acceptance by the data integration tool. The method analyzes a data element of the acquired rejected data and identifies a correction to apply to the data element. The method applies the correction to the data element to obtain a corrected data element. The method also provides the corrected data element to the data integration tool for acceptance by the data integration tool and provision to a target.

Abstract: Data integration process/tool refinement and correction of rejected data. A method acquires rejected data from a data integration tool, the rejected data rejected by the data integration tool during a data integration process. The method applies machine learning to a cognitive system, the machine learning being based at least in part on at least some of the acquired rejected data, and the machine learning including training the cognitive system to identify corrections to data elements to facilitate data element acceptance by the data integration tool. The method analyzes a data element of the acquired rejected data and identifies a correction to apply to the data element. The method applies the correction to the data element to obtain a corrected data element. The method also provides the corrected data element to the data integration tool for acceptance by the data integration tool and provision to a target.

Abstract: A method and system for transmitting trustworthy data. Changes to content of a raw data file (F0) of raw data are determined wherein F0 is a version zero of the data file, wherein the changes produce n changed versions F1, . . . , Fn of the data file, and wherein n is a positive integer of at least 2A trust index TXn associated with the changed version Fn of the data file is calculated, based on a cumulative number of changes between successive versions F0, F1, . . . , Fn of the data file. In response to a request received from a computing device for the data file Fn, the data file Fn and the trust index TXn are transmitted to the computing device.

Abstract: A method and system for transmitting trustworthy data. Changes to content of a raw data file (F0) of raw data are determined wherein F0 is a version zero of the data file, wherein the changes produce n changed versions F1, . . . , Fn of the data file, and wherein n is a positive integer of at least 2A trust index TXn associated with the changed version Fn of the data file is calculated, based on a cumulative number of changes between successive versions F0, F1, . . . , Fn of the data file. In response to a request received from a computing device for the data file Fn, the data file Fn and the trust index TXn are transmitted to the computing device.

Abstract: A method and system for transmitting trustworthy data. A data file (F0) of raw data including content is received. Changes to the content of the data file F0 are tracked. The changes produce n changed versions of the data file (n?1). Changed version j of the data file is denoted as Fj for each positive integer j between 1 and n inclusive. Content that was changed in each version F1, . . . , Fn of the data file is determined. A trust index TXn associated with the changed version Fn of the data file is calculated, based on a cumulative number of changes between successive versions F0, F1, . . . , Fn of the data file. In response to a request received from a computing device for the data file Fn, the data file Fn and the tust index TXn are transmitted to the computing device.

Abstract: A method and system for transmitting trustworthy data. A data file (F0) of raw data including content is received. Changes to the content of the data file F0 are tracked. The changes produce n changed versions of the data file (n?1). Changed version j of the data file is denoted as Fj for each positive integer j between 1 and n inclusive. Content that was changed in each version F1, . . . , Fn of the data file is determined. A trust index TXn associated with the changed version Fn of the data file is calculated, based on a cumulative number of changes between successive versions F0, F1, . . . , Fn of the data file. In response to a request received from a computing device for the data file Fn, the data file Fn and the tust index TXn are transmitted to the computing device.

Abstract: Method and apparatus are provided for securing a cable. The apparatus includes: a substantially cone-shaped member having an elongate opening along the axis of the cone in which a cable is placeable in use; a holding member having at least one open-sided aperture in which the cone-shaped member is houseable in use; wherein the widest diameter of the cone-shaped member is greater than the diameter of the open-sided aperture of the holding member. The method of securing a cable may include: placing a cable in a substantially cone-shaped member having an elongate opening along the axis of the cone in which the cable is placeable; and inserting the cone-shaped member in a holding member having at least one open-sided aperture.