Abstract: Embodiments of the present systems and methods may provide quality-driven incentives for continuous data maintenance and fair value-exchange in business eco-systems that may ensure high quality data over time. For example, a method of data management processing may be implemented in a computer system and the method may comprise determining a quality of data submitted by a data provider over a plurality of quality dimensions, curating the submitted data over multiple data providers based on the plurality of quality dimensions, and rewarding the data provider based on the determined quality of the data submitted by the data provider, an expected lifetime of the data, and the data consumers that access the data so as to incentivize the data provider to provide the data and to maintain or improve the quality of the data.

Abstract: A system for executing a code for training an insurance response system, comprising at least one hardware processor adapted to: using a plurality of insurance attribute values, extracted from a received insurance claim to retrieve: at least one inquiry related to the insurance claim and at least one inquiry result, and historical insurance data related to the insurance claim; computing a similarity value indicative of a difference between the at least one inquiry result and a claim result; identifying in the historical insurance data a plurality of insurance conditions relevant to the claim result and the at least one inquiry result; identifying at least one insurance condition effecting the similarity value by analyzing data comprising the at least one inquiry and the plurality of insurance conditions; and training a protocol model of an insurance response system using the at least one insurance condition and the at least one inquiry.

Abstract: A system for executing a code for training an insurance response system, comprising at least one hardware processor adapted to: using a plurality of insurance attribute values, extracted from a received insurance claim to retrieve: at least one inquiry related to the insurance claim and at least one inquiry result, and historical insurance data related to the insurance claim; computing a similarity value indicative of a difference between the at least one inquiry result and a claim result; identifying in the historical insurance data a plurality of insurance conditions relevant to the claim result and the at least one inquiry result; identifying at least one insurance condition effecting the similarity value by analyzing data comprising the at least one inquiry and the plurality of insurance conditions; and training a protocol model of an insurance response system using the at least one insurance condition and the at least one inquiry.