The Crawford Group, Inc.

Michael Naoom

Trent Tinsley

Michael Rortvedt

Disclosed are systems and methods for intelligently transforming data to generate improved output data, including, for example, for use in a multi-application network with disparate parties. The systems and methods include transforming data using a probabilistic network and a knowledge base generated using historic data to generate improved output data and include the steps of receiving first data associated with a first user and associated with a first incident object. In some embodiments, the systems and methods include generating a first computing object, transmitting the first computing object, receiving a first selection, transmitting a data collection computing input tool, receiving a second selection, receiving second data comprising a first image of a first incident object, transmitting the second data, transforming the second data using a probabilistic network, a machine learning model, a knowledge base, and a data group associated with patterns of processed historic data, and generating improved output data.

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Columbus, OH, United States of America

Michael Naoom