Abstract: A collaborative mobility risk assessment platform may enable multiple parties to participate in the assessment and mitigation of risk facing all forms of autonomous and non-autonomous vehicles via machine learning and artificial intelligence. The platform may include interfaces to ingest a plurality of forms of telematics data, driver history data, weather data, insurance data, vehicle history data, traffic data, road condition data as well as any relevant third-party data that may be used to predict the risk of collision, breakdown, or accelerated depreciation of autonomous and non-autonomous vehicles. The platform may be shared with multiple parties for purposes of collaboration for risk mitigation so as to minimize or eliminate sub-standard performance and/or non-performance with respect to areas including, but not limited to, routes, insurance policies, maintenance, fuel management, and/or asset pricing using cloud-based services.

Abstract: A method for providing a digital publication system includes on a first electronic computing device receiving a first document from a second electronic computing device. The first document is in a first format and comprises a plurality of pages. The first document is converted from the first format to a second format. The conversion generates a separate document in the second format for each page of the first document. Each separate document in the second format is stored in separate identifiable areas of memory of the first electronic computing device. A first request is received from the second electronic computing device to edit a first section of a page of the first document. One separate document in the second format is identified corresponding to the page in the first format to be edited. An action type is added to the first section of the identified separate document.