Abstract: A system and method of automatic cashflow categorization of bank transactions are provided herein. The method may the following steps: collecting banking data and Enterprise Resource Planning (ERP) data associated with a plurality of users; training, by a computer processor, and based on the banking data and the ERP data associated with the plurality of users, a global model for mapping the banking data associated with the plurality of users into cashflow categories; and training, by the computer processor, and based on the global model and tagged dataset from a specific user of the plurality of user, a user-specific model for mapping the banking data associated with the specific users into cashflow categories associated with the specific user.

Abstract: A method and system for obtaining representative sample of automotive data records for data scoring is provided herein. The method may include the following steps: applying a sampling operator to unique IDs of automotive data records space associated with connected vehicles represented by said unique IDs and respective automotive data sources, wherein the sampling operator is selected such that it preserve the proportions in the sample compared with the space; deriving a sample of automotive data records from said automotive data records by selecting a subset of the unique IDs with the sampling operator applied thereto, based on a sampling factor; verifying that the sample of automotive data records is a valid sample of the automotive data records space; and scoring the data records and or the data sources of the sample of automotive data records based on data scoring schemes.

Abstract: A method and a system for multi-tiering of automotive data for complying with privacy regulations are provided herein. The method may include the following steps: receiving a plurality of processed automotive data records; simultaneously storing the data records on three different data tiers in a data store based on privacy tiering rules; managing the data records on the data tiers responsive to ongoing revocation of consent for some of the data records; and providing data records to approved data consumers based on queries in accordance with the privacy tiering rules. The system may implement the method over a server in a client-server configuration.

Abstract: A method and a system for establishing and applying a digital right management (DRM) of data relating to connected cars and obtained from a plurality of sources are provided herein. The method may include the following steps: obtaining a plurality of data entries relating to connected cars and obtained directly from the connected cars; analyzing a plurality of use cases applicable for each of the obtained data entries; automatically selecting, from a plurality of DRM policies, a most suitable DRM policy for the determined use cases; executing the DRM policy of said data entry, using a computer processor. wherein the execution of the DRM Policy on the data entry includes: owner-guardian contractual relationship; permissions, and data section.

Abstract: A method and a system for detecting a change of ownership of a connected vehicle are provided here. The method may include: obtaining, a plurality of automotive data records associated with connected vehicles having respective drivers; creating, responsive to an explicit indication of a driver association of a specific driver, to a specific connected vehicle of the connected vehicles, a unique driver profile which includes driver parameters being a subset of the automotive data records that are associated with an identity of the specific driver; learning, over a training stage, values of the driver parameters representative of the specific driver; monitoring, over a detection stage, values of the driver parameters of the specific driver, to detect an event of change of ownership of said specific driver related to the specific vehicle, in view of the learnt and monitored driver parameters, and in view of change of ownership criteria.

Abstract: A method and system for generating aggregation from a plurality of sets of regulations are disclosed herein. The method may include the following steps: collecting a plurality of set of regulations, wherein a number of regulations in each set of regulations is significantly higher than a set of objects to which the regulations apply; generating a regulations and restriction in a form of a network of the collected sets of regulations; and applying a user defined inference algorithm to derive an applied aggregation responsive to a user-defined use case.

Abstract: A method and a system for normalizing data and data format of automotive data associated with connected vehicles and obtained from a plurality of sources are provided herein. The system may include: a data collector configured to obtain a plurality of data entries relating to connected vehicles and presented in different data formats from a plurality of sources; a data manipulating platform configured to enable a user to select and order a plurality of manipulating modules configured to manipulate data or data format of the data entries; a computer processor configured to execute the manipulating modules, in the selected order on the data entries, to yield a plurality of respective data entries that are normalized in accordance with a predefined data and data format, wherein the manipulation includes in the selected order at least manipulation of the following: a data type, data name, data format, and data content.

Abstract: A system and a method for bundling data insights, in accordance with respective use cases are provided herein. The method may include the following steps: obtaining a plurality of data insights relating to data originated from a plurality of data sources; maintaining a use cases database, holding a plurality of use cases, each affiliated with a respective blend of said data insights; receiving one or more requests from clients for data insights, each request associated with respective business requirements; and providing the clients with a respective one of the bundles according to the respective business requirements and responsive to the requests and based on the use cases database.

Abstract: A system and a method for bundling data features relating to connected vehicles, in accordance with respective use cases are provided herein. The method may include the following steps: obtaining a plurality of data features relating to connected vehicles originated from a plurality of data sources; maintaining a use cases database, holding a plurality of use cases, each affiliated with a respective blend of said data features; receiving one or more requests from clients for data features, each request associated with respective business requirements; and providing said clients with a respective one of said bundles according to the respective business requirements and responsive to the requests and based on the use cases database.

Abstract: A method and a system for normalizing data and data format of automotive data associated with connected vehicles and obtained from a plurality of sources are provided herein. The system may include: a data collector configured to obtain a plurality of data entries relating to connected vehicles and presented in different data formats from a plurality of sources; a data manipulating platform configured to enable a user to select and order a plurality of manipulating modules configured to manipulate data or data format of the data entries; a computer processor configured to execute the manipulating modules, in the selected order on the data entries, to yield a plurality of respective data entries that are normalized in accordance with a predefined data and data format, wherein the manipulation includes in the selected order at least manipulation of the following: a data type, data name, data format, and data content.

Abstract: A method and system for generating aggregation from a plurality of sets of regulations are disclosed herein. The method may include the following steps: collecting a plurality of set of regulations, wherein a number of regulations in each set of regulations is significantly higher than a set of objects to which the regulations apply; generating a regulations and restriction in a form of a network of the collected sets of regulations; and applying a user defined inference algorithm to derive an applied aggregation responsive to a user-defined use case.

Abstract: Some embodiments of the present invention provide a system and a method for anonymizing unique identifiers of objects on a networked database and for exchange of anonymized data across a network. A personalized database holding unique identifiers of users and/or entities may use a module to anonymize the unique identifiers of the users or entities and convert it to anonymized identifiers using an asymmetric conversion. In consequence, no unique identifier of any user or entity get out of the personalized database. A third-party application can request the matched anonymized token for a given user identifier. The anonymized token is generated using a symmetric conversion and is unique per third party application. Then, the third-party application can retrieve data related to the unique identifier using the anonymized token. The data is only retrieved using the anonymized token only.

Abstract: A system and a method for bundling data features relating to connected vehicles, in accordance with respective use cases are provided herein. The method may include the following steps: obtaining a plurality of data features relating to connected vehicles originated from a plurality of data sources; maintaining a use cases database, holding a plurality of use cases, each affiliated with a respective blend of said data features; receiving one or more requests from clients for data features, each request associated with respective business requirements; and providing said clients with a respective one of said bundles according to the respective business requirements and responsive to the requests and based on the use cases database.

Abstract: A system and a method for remote training of a machine learning algorithm using selected data from a secured data lake are provided herein. The method may include the following steps: inputting client parameters onto a secured server having said secured data lake; collating raw data stored within said secured data lake, according to said client parameters, to yield selected data, wherein said selected data and said raw data are inaccessible to said client; uploading said machine learning algorithm from said client to said secured server; and training said machine learning algorithm on said secured server, using said selected data, to yield a trained machine learning algorithm.